Episode 95

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Published on:

12th Mar 2026

95. Puzzle Setting, Not Goal Setting

In this episode we discuss: Puzzle setting, not goal setting. We are joined by Radhika Dutt, Author, Speaker, Consultant.

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We chat about the following with Radhika Dutt:

  1. What if traditional goal setting is actually limiting innovation rather than driving it?
  2. How might teams think differently if they framed challenges as “puzzles” instead of targets to hit?
  3. Are OKRs pushing organisations toward short-term optimisation instead of real problem-solving?
  4. How can leaders create space for curiosity and exploration in environments obsessed with metrics?
  5. What would change inside your company if teams focused on solving the right problem rather than just hitting the next KPI?

References

  1. https://www.linkedin.com/in/radhika-dutt/
  2. https://www.radicalproduct.com/
  3. https://www.radicalproduct.com/toolkit/#OHLToolkit

Biography

Radhika Dutt is the author of Radical Product Thinking: The New Mindset for Innovating Smarter which has been translated into Chinese and Japanese. The methodology she introduced in her first book is now used in over 40 countries. She is an entrepreneur, speaker, and product leader who has participated in five acquisitions, two of which were companies that she founded. She is currently Advisor on Product Thinking to the Monetary Authority of Singapore (Singapore’s central bank and financial regulator), and does consulting and training for organizations ranging from high-tech startups to multinationals on building radical products that create a fundamental change. Radhika has built products in a wide range of industries including broadcast, media and entertainment, telecom, advertising technology, government, consumer apps, robotics, and even wine. She graduated from MIT with an SB and M.Eng in Electrical Engineering, and speaks nine languages.

Radhika is now working on her second book – it’s about why goals and targets backfire and what actually works.

To learn more about Beth and Brandon or to find out about sponsorship opportunities click here.

Summary

14:25 — Introducing the concept of “puzzle setting”

24:06 — What puzzle setting actually means

26:46 — Why puzzles embrace uncertainty

27:49 — The Rubik’s Cube analogy

33:22 — The “Three O’s” of puzzle setting

35:17 — Turning growth goals into puzzles

38:08 — Breaking big puzzles into smaller ones

42:46 — The shift from proving to learning

47:25 — Building critical thinking into teams

54:44 — Real business impact of puzzle thinking



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Transcript
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Hello and welcome to another episode

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of the Operations Room, a podcast

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for COOs.

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I am Brandon Mencinga, joined by

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Bethany Ayers. How are things going,

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Bethany?

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It's just relentless, I think.

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I don't know if that's how things

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are going, but that's things are

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feeling.

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I know, I'm hearing you on this loud

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and clear, the relentlessness of

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the job.

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Relentlessness of VC-backed

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businesses, which we signed up for

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it. We love it.

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We enjoy it a good 60%

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of the time, maybe 70% of time.

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Yes, yes.

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This week has been a terrible week

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for me in this sense, which is

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people issues related to people

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not understanding the fact

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that these are scale ups.

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It's venture backed.

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We need to move at pace and

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their personal situations or

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their workloads or whatever.

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I respect the fact the people need

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to like have their space, craft

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their worlds and so on.

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But there's also very much like a

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pacing element to this company and

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to venture-backed.

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Your point that is relentless and

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needs to happen so being in

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service about which we all are

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because we all signed on to this is

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the name of the game if you're not

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up to it you don't want to do it yet

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personal considerations don't allow

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you to do what you should not be

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signing up for this venture back

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journey i would say.

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100%.

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And also, on

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top of just the general

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rollercoaster that is venture-backed

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businesses, we have AI

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and the shifting sands

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below us and the market changing

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every day,

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and anthropic building our products

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every day or somebody else's

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product.

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I know, I know.

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The general gist of it is, yeah,

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we're behind, everyone's behind, I'm

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behind, you're behind.

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Who's not behind?

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I'm like, I got it.

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There's like another kind of CEO

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problem. We have like a thousand

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things to do. We need to move at

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pace.

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Sands are shifting.

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We need get behind that to make sure

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that we're transforming the

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business.

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And trying to do all of it at once

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is like, there's only one brand

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and there's not three brand ends or

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three versions of ourselves, there

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is only so much you can accomplish.

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But you can see I'm kind of riled up

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this morning as we speak.

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Yeah, and it's also something I've

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been thinking about and have talked

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to my team about, but I don't think

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it's just unique to

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us is

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not only is it like AI adoption

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internally, but it's this ability

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to shift to markets because

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the market's moving so quickly.

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It's kind of both moving quickly and

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not moving at all.

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Like there's definitely a

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bifurcation of the

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adopters and the movers.

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And I feel like after open claw.

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There are a lot more people who are

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throwing themselves into AI than

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there were a month ago.

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But then you still have companies

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that are moving at a snail's pace

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who can't

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figure it out.

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And kind of like straddling these

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two worlds.

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And it means like, there's been

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a lot of talk around the

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change of org structure and what

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roles are staying and what rules are

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going in this new world.

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But I don't think we've talked as

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much around Cadence.

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Operating models and

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speed.

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Some of it I thought was specific to

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my experience at Matomic in that

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we're 20 people, the

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goal is not to be 100 people, the

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goal was to be maximum 50

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people.

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But we've all come from bigger

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companies and we have a

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tendency to over

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process stuff and

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put in things that are unnecessary

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for the of people that we are.

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But I'm wondering if it's that or

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actually

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old way of building is

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let's put in the scaffolding, let's

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make things quite rigid so that they

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will hold the new

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bigger company.

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But right now, if you make things so

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rigid with the shifting sands,

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you're just going to fall and crack

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and break into the sand.

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And so what you actually need to do

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is figure out how to build much

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more flexible

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Processes systems ways

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of accessing information ways of

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communicating so that.

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You can bend and

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shift as the sands move rather

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than break.

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I don't have the answer to it, but

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it's something I'm starting to

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formulate is like, how do we

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make our businesses more flexible?

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And also like right now is probably

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not the time to build the processes

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that we're familiar with.

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Like it's really the time to think

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about what's the output

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we're looking for and have

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less of a formulation

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on time.

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I'm trying to articulate this versus

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like the ability to

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get what you need when you need it,

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share what you to share when you to

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it, rather than

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in a cadence that we've

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been used to where things were

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moving.

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Like, venture's always been fast,

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and we've always maybe moved on a

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weekly or monthly cycle, but I feel

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like today we almost need to work

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on a daily cycle.

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And so how do you build systems

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that mean that you can communicate,

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share ideas, move direction,

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change your home page.

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Create a thousand different landing

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pages today

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and not in two and a half weeks.

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From an individual, from team point

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of view, there should be like a

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much stronger capacity to move

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way faster, doing a lot more things.

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So if you think about classic

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customer discovery that a product

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manager would do or a UX researcher,

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you know, that process used to be

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quite tedious and quite slow in

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terms of the processes that they

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go through. I think today for

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customer discovery, you can do that

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way faster.

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And it's not just the product

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manager anymore, but it's the actual

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engineers themselves and the

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designers, everyone's involved in

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customer discovery in some form.

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And the speed by which you can,

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you know, the bottleneck is more of

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just like the customer interactions

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themselves than anything else

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required down flow from there

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because we can kind of AI agent

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orchestrate almost everything to

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actually get the realizations,

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the insights, the changes to the

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product roadmap, and then the actual

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production of those features or

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experiences, you now, from a

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kind of the coding perspective as

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well, I suppose.

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Yeah. And so maybe it's

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not around flexibility, it's around

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collapsing time.

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But I think if you collapse time,

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that also gives you flexibility.

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And one of the things that is

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definitely a mind shift change

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that I see some people

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needing to make is,

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this is a hypothetical, this isn't

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actually something that happened,

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but it's just come to my mind, is

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by example, if we need a

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thousand landing pages.

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I mean, we don't really need a

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thousand pages, but like...

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I feel like sometimes what we do is

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figure out how to build a thousand

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landing pages.

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But what we don't do is think,

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I'm going to need to be able to,

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like the operator brain, I'm

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not gonna only have to build 1000

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pages once, I'm gonna have to do it

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all the time.

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And I'm also going to have to like

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change the website overnight or

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do that. And so how do I actually

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build the whole system that then

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enables rapid change?

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In not just building a thousand

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landing pages, but like the entire

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marketing flow, for example.

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And I think it's as operators

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and COOs,

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it's the way our brains naturally

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work. And so I think maybe we need

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to start training people

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to see how our brains work, or

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how do we create

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clawed skills that are

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that, and everybody uses that

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clawed skill. That would be the

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better solution, brain working in a

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second. I used to talk about how we

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need to get leadership skills into

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the team. And I think now how do we

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get system thinking and operator

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thinking into the team?

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Yeah, I can definitely see more of

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an operator skew going forward for

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anyone that's in a company because,

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you know, this becomes much more

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about judgment, decisions,

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system level thinking, and much less

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about actual execution of whatever

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program.

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It's interesting, I was talking

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to one of our software developers

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the other day, and he was saying

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to me, his argument was that he

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feels like in a weird way, we've

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gone back 25 years into

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more sort of like weird waterfall

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in a way whereby if you're a product

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manager, You need to be doing much

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more descriptive,

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out-of-the-box,

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prompting specifications of what

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you're actually looking for with

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some level of clarity, going into

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Claude when you start moving from

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that point to actually create

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production code, and that the

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so-called PRD descriptions are kind

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of back with product managers.

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I also agree that there's stuff

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that's like back 20 years

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or 25 years.

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I just wasn't close to product

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development. So it's not the one

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that I'm thinking about.

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The one that.

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I do think about as a

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CEO and anybody who's in charge of

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infosec should be thinking about is

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how much

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is sitting on people's local drives

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in a way that hasn't happened since

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2003.

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Because we're sucking everything out

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of the cloud, downloading it,

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feeding it back up to Claude,

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or whatever you're using.

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Or you're moving things onto your

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local drives, like all of it to get

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data closer to Claud.

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If people lost their laptops now,

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it would be such a bigger deal

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than it has been for the last 15

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years.

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You know, it's interesting.

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We just had this conversation the

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other day, but this new reality

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where software development,

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in a way, the job is done,

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right?

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And the question of in your

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company or in any company, you're

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gonna have certain developers that

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are on AI agents

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and using them wholesale

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to create their code.

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And what they're doing else we

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simply doing code reviews before it

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goes into production you have

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another band of your developers that

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there's still this kind of gray area

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where they're starting to take a

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look at using agents properly and so

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on but they haven't really vector

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themselves hard into it where some

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people are going hard at right now

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they have another bended developer

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where they kind of like either

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not interested don't want to

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can't see the future what have you

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knows that band of individual and

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i guess for companies right now

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doing.

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Kind of what's sensible, I think,

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which is to migrate out the people

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that are not down with it, taking

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the gray zoners and trying to like

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enable them and push them hard into

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the kind of AGI-pilled

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environment.

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And then the ones that are already

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on it, obviously that's fantastic.

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But definitely there's like some

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level of organizational stewardship

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from a CEO perspective.

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I think that needs to occur to like

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just recognize this, which is

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software development is a

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dead end job.

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And if we recognize that endpoint,

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the question now in companies is

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what do you do with that?

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How do you best enable the

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gray zone people, how do you best

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enable people that are not down with

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it, and how do you best kind of

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discontinue to support the ones that

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are going hard at it?

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Yeah. I mean, that's why we're doing

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quarterly training and

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consistently combining

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quarterly training with time

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to then build stuff and

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build out, you know, play with the

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new skills, take the time to build

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the rest of the infrastructure.

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You know, cause every time, every

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quarter things have changed so

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much from the previous three months

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that there's a bunch of new

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things that you can take advantage

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of built in so that your job is

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better. I agree that coding...

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In and of itself is a dead end job,

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but I think technologists are

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not. So the understanding

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of how it fits together,

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the precision of it, how to

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formulate and work through and

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articulate the

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problems that need to be solved and

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also validate that it is going to

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solve the problem, that

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thinking isn't going away.

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Yeah, and this is where product

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managers, designers, engineers

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that have more of a customer-facing

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orientation, there's gonna be like a

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weird blending of people.

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The competencies are still there to

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your point, but you're gonna see

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much more, I suspect,

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engineers being asked,

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forced to deal much more directly

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with customers or customer

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discovery or more of that front end

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of like validating actual value

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themselves as opposed to like a

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PM doing it on their behalf.

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So I think people who identify

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as being builders or who really like

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building are the ones who

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are going to.

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So here's another thought for you.

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So this idea that if

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anyone's building code,

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whether it's a product manager,

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designer, engineer, or other people,

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you have a bunch of people,

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including the engineers themselves,

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that are committing code from

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Claude and nobody has looked at

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it. They're just like, yeah, this

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works, it's committed, and it's

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doing its job effectively.

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But no human being at that point

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really understands what they've just

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committed into code effectively.

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So it goes into the code base.

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And let's say two months down the

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road, you're having massive

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stability issues and everything goes

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down.

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So because nobody actually

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understands the code base anymore,

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you start using Claude again to try

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to debug what is happening.

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Claude leads you in a direction.

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That direction is based on

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Claude telling you where it thinks

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it's at. Claude is less good at

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doing this right now and

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oftentimes you go off in wrong

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directions effectively and what one

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of the senior...

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Developers was telling me was that

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he was looking at Claude's direction

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for the debugging process so that

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some of the developers were going to

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focus on. He looked at it and said,

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this is bullshit, that is totally

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wrong, it's actually over here

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somewhere.

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They redirected their efforts to

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that other spot that he'd identified

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and lo and behold that's where the

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bug was effectively.

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So what he was suggesting to me was

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this kind of like software

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architecture design code

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review on the input side, looking

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at what Claude is telling you from a

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debugging standpoint on the flip

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side and being critical of that.

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That critical thinking is still

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required.

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But inherently, as we all are,

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including myself, we're all

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inherently lazy, right?

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So we're kind of like, code reviews,

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that's boring, I don't want to do

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that, the debugging thing, Claude

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must be right, I'm just gonna not

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think so much and just allow it to

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tell me what to do.

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So what I'm wondering out

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loud is, like is there

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a space for,

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not just a technologist on the

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customer-facing side, but some

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technologists for like the software

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code base itself where there's

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a different set responsibilities for

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someone.

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To do some of the stuff that I think

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is going to be missing.

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100%. That's part of what I meant by

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the technologists.

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You can't just

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prompt Claude and walk away and

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not take responsibility for Claude's

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output in the same way that

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on the business side, I wouldn't say

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to Claude, here are

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all of our numbers for the last

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months. Look at my emails and

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write me a board summary that I

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can send to the board without

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editing.

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And walk away.

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Done.

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And walk away and just be like,

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after you've written it, just send

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it to the board, done.

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You wouldn't do that.

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And so why in the world do you

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think, even if you spend quite a

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long time prompting Claude, that you

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would just push it without checking?

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Like we're not at that level of

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intelligence unless you have really

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built in a

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huge amount of infrastructure to

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contain Claude.

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All right, so we've gone on like a

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wild tangent here and all sorts of

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things. We've got a great topic

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today, which is puzzle setting, not

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goal setting.

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We have an amazing guest for this,

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which is Radhika Dutt.

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She's the author of Radical Product

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Thinking, the New Mindset for

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Innovating Smarter, and a

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former chief product officer for

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MovePrice.

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So with Radhica,

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she was talking about, and

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this is a quote from her, goals

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and targets were designed to kill

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that internal drive.

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Where you're then focusing on

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external measures as if these

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external drivers are needed to

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motivate you.

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And I guess the question is,

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do you really need to have actual

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targets to kind of like focus

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people and to motivate people?

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And I think she was suggesting in

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her puzzle framework, there was

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less need for the actual KRs

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themselves as opposed to the

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objective.

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What do you make of that?

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My very first reflection is, did a

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leadership offsite last yesterday,

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and we had a whole conversation

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about OKRs, and I entirely forgot

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about this conversation, and now I'm

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just kicking myself.

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I'm like, why? Why didn't I

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bring this forward as an alternative

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of what we should be doing, because

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you know that I'm not a massive

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believer in OKR.

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And I think we ended up landing

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on not doing

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OKR, but the

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leaders of the largest Teams.

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Figuring out the model for their

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teams.

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So sales is in effect,

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you know, running the cadences that

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a sales team would run and

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engineering or running sprints, but,

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and having a roadmap. But I'm

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wondering, now I just want to

Speaker:

bring it in. I know I'm supposed to

Speaker:

answer the question, but it's just

Speaker:

like kicking myself.

Speaker:

Like I really wish we'd had this

Speaker:

conversation like last week.

Speaker:

Part of it I think depends on the

Speaker:

size of the company, but.

Speaker:

It feels to me a lot more true

Speaker:

than OKRs.

Speaker:

OKR's are just.

Speaker:

They can be very rigid and people

Speaker:

can end up gaming the

Speaker:

system and caring more about getting

Speaker:

the right key result than solving

Speaker:

the underlying issues.

Speaker:

And so whether it's a puzzle,

Speaker:

whether it is a key result, I don't

Speaker:

think matters as much as,

Speaker:

and by calling it a puzzle I think

Speaker:

you reset the

Speaker:

vibe. I'm almost feeling like it's a

Speaker:

masculine and a feminine approach to

Speaker:

it. So like the masculine approach

Speaker:

is very like, okay, R and let's

Speaker:

go into fight and like very

Speaker:

straight. And the

Speaker:

puzzle is...

Speaker:

Let's work together, let's

Speaker:

collaborate, let's talk about this

Speaker:

and look at it from every direction

Speaker:

and is a bit kind of more

Speaker:

rounded and not

Speaker:

relaxed, but like we could

Speaker:

put a little bit more fun in and

Speaker:

like what we're gonna do is

Speaker:

fundamentally solve the problem

Speaker:

rather than drive and

Speaker:

deliver.

Speaker:

Yeah, so I agree with you

Speaker:

completely. I think part of this is,

Speaker:

I think people become a slave to the

Speaker:

KR or they become a slave to like

Speaker:

crafting the right KR or the become

Speaker:

a slave to only caring about

Speaker:

that singular number and

Speaker:

pervert what the real intent is of

Speaker:

the actual KR itself and don't

Speaker:

recognize that throughout the

Speaker:

discovery process that may

Speaker:

change the entire game whereby that

Speaker:

KR is entirely irrelevant or the

Speaker:

number makes no sense for a variety

Speaker:

of reasons and if they're not to

Speaker:

that, open-minded enough to that.

Speaker:

I.e. The puzzle orientation, they're

Speaker:

going to end up doing the wrong

Speaker:

thing.

Speaker:

And the manager at some point will

Speaker:

be satisfied because they've hit

Speaker:

their KR, but then it'll become

Speaker:

like, well, what was the point?

Speaker:

Why do we bother to do this in the

Speaker:

first place? Because it had no

Speaker:

business impact whatsoever on

Speaker:

the trajectory of the company, yet

Speaker:

we hit our KR.

Speaker:

It's the classic, I've delivered and

Speaker:

I'm done and I am very happy as an

Speaker:

individual or as a team, but

Speaker:

ultimately from a business outcome

Speaker:

standpoint, you've done jack shit

Speaker:

and it's had no impact.

Speaker:

That was the Cassie Young

Speaker:

episode on first

Speaker:

team, the top team, and

Speaker:

you know, here marketing is saying,

Speaker:

look, everything's green and the

Speaker:

entire business is on fire.

Speaker:

So the other element that Radhika

Speaker:

had talked about was a puzzle means

Speaker:

you have to stay within the

Speaker:

discomfort, not knowing the answers

Speaker:

and embracing the not knowingness

Speaker:

in terms of your first step.

Speaker:

What do you make of that in the

Speaker:

context of OKRs?

Speaker:

I don't know if it's in the context

Speaker:

of OKRs or more broadly

Speaker:

the context of life,

Speaker:

like sitting, being comfortable with

Speaker:

the discomfort is

Speaker:

critical to survival,

Speaker:

like generally in the

Speaker:

world and particularly now.

Speaker:

Like one of the things that I

Speaker:

tell my kids, because it's one of

Speaker:

the things I tell myself,

Speaker:

is when there's a setback,

Speaker:

this really feels horrible, this is

Speaker:

really uncomfortable.

Speaker:

I have survived other setbacks

Speaker:

and what this will give me

Speaker:

is a reliance to know that I can

Speaker:

survive this one and the next one so

Speaker:

I'm not afraid of discomfort because

Speaker:

I know I can survive it.

Speaker:

And I think if you can instill that

Speaker:

in your teams right now, we

Speaker:

can have a need to

Speaker:

solve problems.

Speaker:

It's really powerful.

Speaker:

Although another thing just popped

Speaker:

into my mind is We've been talking

Speaker:

a lot about Myers-Briggs at

Speaker:

work. I'm not a big believer of

Speaker:

Myers- Briggs in terms of like when

Speaker:

you put it all together that it's

Speaker:

realistic, but I do find

Speaker:

the individual four pieces helpful.

Speaker:

And the final piece is like,

Speaker:

I can't remember, it's P and J,

Speaker:

judging and perceiving,

Speaker:

which is such a bizarre, like I

Speaker:

kind of feel like they're synonyms,

Speaker:

but people who are judging

Speaker:

are very, very time bound

Speaker:

and feel comfortable when they've

Speaker:

made a decision and people that are

Speaker:

perceiving.

Speaker:

Feel very comfortable before they've

Speaker:

made a decision and before they're

Speaker:

tied down. And I am a

Speaker:

very natural J, and every

Speaker:

CEO I've ever worked with is a very

Speaker:

naturally and highly-preferenced P,

Speaker:

and it's been such a clash.

Speaker:

But now that I'm a CEO, I

Speaker:

have to try and tamp down my

Speaker:

J and leave space for

Speaker:

the indecision and leave a space for

Speaker:

doing the puzzle and actually

Speaker:

remove some of my execution

Speaker:

urge.

Speaker:

And so I think it's a helpful

Speaker:

structure.

Speaker:

Yeah, no, I hear on this because I

Speaker:

feel like I ride the lightning of

Speaker:

this as well in some ways because

Speaker:

just with the past week that I've

Speaker:

had, I've had to make decisions at

Speaker:

pace and I get

Speaker:

pretty excited and jazzed up to

Speaker:

make decisions like I'm a natural

Speaker:

born decision maker.

Speaker:

And sometimes it catches me out

Speaker:

because I'm making calls either too

Speaker:

fast with not enough information,

Speaker:

lack of context, all sorts of

Speaker:

things. So sometimes it can be an

Speaker:

asset, but sometimes it's gonna hurt

Speaker:

you. And we're just having a call

Speaker:

with one of our external recruiters.

Speaker:

And I was telling the recruiter

Speaker:

alongside of our internal staff, I'm

Speaker:

like, we're doing this, you're not

Speaker:

doing that.

Speaker:

And then at some point he piped up

Speaker:

and said, hey, Brandon, like we

Speaker:

actually have some skills in this

Speaker:

particular area that they may not be

Speaker:

aware of. And this is what the

Speaker:

skills look like.

Speaker:

I'm, like, oh, fine, love that.

Speaker:

Let me pull back what I just

Speaker:

decided. We're doing that now.

Speaker:

I'm getting out of myself slightly

Speaker:

from a decision standpoint, I would

Speaker:

say.

Speaker:

So I think having this conversation

Speaker:

helps us be aware of

Speaker:

when you do push for a decision and

Speaker:

when you maybe push for micro

Speaker:

decisions but leave the

Speaker:

full solution to unfold.

Speaker:

Yeah, yeah, being open to it.

Speaker:

That makes complete sense.

Speaker:

Last question, Radhika talked about

Speaker:

the three O's from her point

Speaker:

of view, which is the key bits are

Speaker:

observation, the open questions,

Speaker:

and the objective.

Speaker:

So when you think about the 3 O's as

Speaker:

kind of like her puzzle

Speaker:

way of going forward as

Speaker:

opposed to OKRs, how much do you

Speaker:

love the observation, open questions

Speaker:

and objective? And in particular, on

Speaker:

the observation side, do you have

Speaker:

any thoughts on that one?

Speaker:

I think it just makes a lot of sense

Speaker:

and I think you can tell that she's

Speaker:

a product person who is now

Speaker:

thinking through and standardizing

Speaker:

the process that she has created and

Speaker:

figuring out what it is that you do.

Speaker:

So you observe what's

Speaker:

happening, get really clear

Speaker:

on that, ask the questions

Speaker:

that aren't yes no questions.

Speaker:

There's a bit of a debate as to

Speaker:

whether or not open questions

Speaker:

actually matter. I think it's more

Speaker:

around, like, a philosophy of the

Speaker:

mindset, because...

Speaker:

You can ask a very open question to

Speaker:

somebody who doesn't care and

Speaker:

they'll still give you a closed

Speaker:

answer and you can ask the closed

Speaker:

question to someone who cares a lot

Speaker:

and they're going to give you an

Speaker:

open answer.

Speaker:

So I think it's more inviting

Speaker:

a little bit more of that P

Speaker:

versus J.

Speaker:

So, you know, like inviting the

Speaker:

conversation, inviting not needing

Speaker:

an answer and

Speaker:

surfacing everything that you

Speaker:

need to know in service

Speaker:

of an objective.

Speaker:

You're absolutely right.

Speaker:

I think Radhika, as a former product

Speaker:

person, she's taken effectively the

Speaker:

idea of customer discovery and

Speaker:

applying it to OKRs and

Speaker:

re-vectoring it as puzzles.

Speaker:

So she's very much taking her

Speaker:

background, I think, in kind of this

Speaker:

new thesis that she's presenting.

Speaker:

It's not really new, is it?

Speaker:

It's just kind of product

Speaker:

management, customer discovery

Speaker:

repackaged into the OKR

Speaker:

world of running companies.

Speaker:

And a discovery that it works, yeah.

Speaker:

Yeah, no, exactly.

Speaker:

The interesting bit is this word

Speaker:

observation that she's stuck in

Speaker:

here. I don't know if you recall our

Speaker:

talk with Keith Wallington as to the

Speaker:

CEO's job.

Speaker:

He said one of the five

Speaker:

jobs of the CEO is observation.

Speaker:

So it's just interesting, word-wise

Speaker:

at least, that Keith saw that from

Speaker:

a CEO perspective to spend time on

Speaker:

that. And she's kind of saying the

Speaker:

same thing.

Speaker:

So why don't we park it here and get

Speaker:

into our conversation with Radhika.

Speaker:

I am not the biggest fan of OKRs,

Speaker:

but for me, it feels like the least

Speaker:

worst option.

Speaker:

And so when you approached us

Speaker:

and said you had an alternative

Speaker:

to OKR in a different approach,

Speaker:

I just got so excited.

Speaker:

And I think we ended up speaking for

Speaker:

about an hour, and I was just going,

Speaker:

what do we do? How do we do it?

Speaker:

And the way that I summarized it is

Speaker:

looking at everything as puzzles.

Speaker:

And I love puzzles.

Speaker:

So, I do the crossword puzzle,

Speaker:

wordle, connections.

Speaker:

All I only do three of

Speaker:

the LinkedIn puzzles every single

Speaker:

day.

Speaker:

And so for me, the idea of looking

Speaker:

at work as a puzzle and introducing

Speaker:

more play, particularly when things

Speaker:

are so stressful is

Speaker:

a stroke of genius.

Speaker:

So now I'm going to let you talk and

Speaker:

I'm just going to say,

Speaker:

why don't you introduce

Speaker:

us to this puzzle concept

Speaker:

and puzzle framework?

Speaker:

You know, but I love your preamble

Speaker:

to all of this.

Speaker:

This is what I'd been seeing for a

Speaker:

really long time in my career.

Speaker:

And I couldn't articulate quite why

Speaker:

goals and OKRs weren't working.

Speaker:

What I was feeling was we

Speaker:

just have so much passion

Speaker:

and internal drive.

Speaker:

And it's almost like goals

Speaker:

and targets were designed to

Speaker:

kill that internal drive where

Speaker:

you're then focusing on

Speaker:

external measures,

Speaker:

but not just measures, external

Speaker:

drivers as if you

Speaker:

don't have this internal drive that

Speaker:

these external drivers are needed

Speaker:

to motivate you.

Speaker:

It was fascinating for me for a

Speaker:

long time to see the

Speaker:

kind of twisted and perverse effects

Speaker:

that goals and targets had.

Speaker:

This puzzle concept came to

Speaker:

me because I

Speaker:

just instinctively started

Speaker:

working with a team in this way.

Speaker:

So let me share this example.

Speaker:

I was working with this Greek

Speaker:

company, I still am.

Speaker:

The maritime industry.

Speaker:

The way this started was because the

Speaker:

CEO had brought me in.

Speaker:

They used goals and OKRs

Speaker:

and sales had stalled in 2023.

Speaker:

When I came in, the team had

Speaker:

been trying to go after this market

Speaker:

and they were hitting some OKR's,

Speaker:

not hitting others.

Speaker:

But it was a brilliant

Speaker:

group of people, super smart

Speaker:

people. All were data scientists,

Speaker:

mathematicians, applied

Speaker:

mathematicians.

Speaker:

Like really fascinating people.

Speaker:

And clearly, there was passion when

Speaker:

I was talking to them.

Speaker:

And yet, when I actually was

Speaker:

seeing the work, I wasn't seeing

Speaker:

that passion translated into

Speaker:

that work.

Speaker:

This was when we started looking

Speaker:

at it differently.

Speaker:

Instead of focusing on goals,

Speaker:

targets, and looking at, okay, is

Speaker:

this feature going to move this okay

Speaker:

or not, we just

Speaker:

started with this blank slate

Speaker:

saying, okay wait, let's just

Speaker:

look at what is the problem

Speaker:

we're solving? And we started

Speaker:

thinking about it as a puzzle.

Speaker:

You know, I just wanted to know, how

Speaker:

are things going?

Speaker:

What is it that customers are really

Speaker:

experiencing?

Speaker:

What is working? What is not?

Speaker:

And so we started defining the

Speaker:

puzzle. So this was a maritime

Speaker:

platform, a data analytics platform.

Speaker:

And the puzzle was, it's fascinating

Speaker:

that only tech

Speaker:

savvy brokers in the

Speaker:

maritime industry are using this

Speaker:

platform.

Speaker:

So fascinating. Why only tech savvy

Speaker:

people?

Speaker:

Why only brokers?

Speaker:

Why aren't people who own shipping

Speaker:

vessels, or who own cargoes,

Speaker:

why aren't they using this platform?

Speaker:

Why just brokers?

Speaker:

And so these are questions that we

Speaker:

didn't have answers to, right?

Speaker:

And when I started asking these

Speaker:

questions, people are like, yeah,

Speaker:

you're right. We don't know this.

Speaker:

A puzzle mindset is

Speaker:

different because goals and targets

Speaker:

come at it from, we know the

Speaker:

answer. Just achieve these numbers,

Speaker:

that gets you what you need.

Speaker:

That means progress.

Speaker:

Whereas a puzzle means you

Speaker:

have to stay with the discomfort

Speaker:

that we don't know

Speaker:

the answers.

Speaker:

We're going to have to figure this

Speaker:

out.

Speaker:

That embracing the not knowing

Speaker:

is the first step of a puzzle that

Speaker:

completely shifted the mindset.

Speaker:

So we started talking to people who

Speaker:

are both customers, people who

Speaker:

weren't customers, to figure out

Speaker:

what's really going on.

Speaker:

Why aren't these people using it?

Speaker:

And it led us to questions like, how

Speaker:

do people who are shipping vessel

Speaker:

owners use, what do they do in

Speaker:

their day? How do they work?

Speaker:

You know, what is their mental

Speaker:

model? How is it different from

Speaker:

how brokers work?

Speaker:

So we started asking all these

Speaker:

questions and we learned so much.

Speaker:

We were observing what was

Speaker:

actually happening, not just looking

Speaker:

at data and not looking at

Speaker:

shortcuts.

Speaker:

We were absorbing this puzzle.

Speaker:

It's like looking at a Rubik's Cube

Speaker:

and really moving things around and

Speaker:

saying, how does this thing work?

Speaker:

And now, now that we had this

Speaker:

observation, we

Speaker:

were looking at this puzzle, we had

Speaker:

a clearer definition.

Speaker:

Now we could attempt this puzzle.

Speaker:

And so I'll pause there for a

Speaker:

moment, but I think there's lots to

Speaker:

unpack even there.

Speaker:

And then I can talk about how we

Speaker:

solve the puzzle.

Speaker:

One of the things that struck me

Speaker:

immediately was, and you said

Speaker:

it very in passing, you were

Speaker:

really observing things rather than

Speaker:

just looking at the data and

Speaker:

short-cutting, and I was like, oh

Speaker:

yeah, I shortcut.

Speaker:

I look at the date, I

Speaker:

make a close enough guess,

Speaker:

and then I say, now we need to build

Speaker:

X amount of pipeline, or now

Speaker:

we'll need to ship these three

Speaker:

things and move immediately

Speaker:

into the goal setting side

Speaker:

and skip the discomfort.

Speaker:

But there's also

Speaker:

an element...

Speaker:

Where I'm wondering,

Speaker:

you knew the problem.

Speaker:

And so like, the part that we're

Speaker:

missing is the beginning of what

Speaker:

were the OKRs, or what was the OK

Speaker:

that didn't work versus figuring

Speaker:

out the problem to solve, because

Speaker:

presumably they were trying to solve

Speaker:

the problem through the OK.

Speaker:

Yeah, we were.

Speaker:

We wanted better user engagement.

Speaker:

That was one of the OKRs, better

Speaker:

user engagement from all these

Speaker:

different types of users, right?

Speaker:

We wanted to have

Speaker:

more customers who are not

Speaker:

just brokers. We want to expand to

Speaker:

this other user base.

Speaker:

We wanted to expand beyond

Speaker:

just a small group of

Speaker:

brokers.

Speaker:

And so this is when we started

Speaker:

looking at the data to see, well,

Speaker:

who is using this?

Speaker:

That was when we could tell,

Speaker:

okay, it's mostly tech-savvy brokers

Speaker:

using this.

Speaker:

And yeah, very few other people are

Speaker:

using this, right?

Speaker:

So yes, you're right that we did

Speaker:

have OKRs saying we should do

Speaker:

this, this, and this.

Speaker:

OKR's don't tell you what is it

Speaker:

that's not working, right.

Speaker:

And so we were hitting some of these

Speaker:

numbers. We were increasing some

Speaker:

usage, but not

Speaker:

enough. Like it wasn't truly

Speaker:

a radical shift.

Speaker:

And do you know what you were saying

Speaker:

about...

Speaker:

How we want to jump to the quick

Speaker:

fixes, that was the temptation at

Speaker:

this company too.

Speaker:

When I first joined, they were

Speaker:

looking at the data and they were

Speaker:

saying, aha, we know what we

Speaker:

need to do. All the customers are

Speaker:

complaining that filtering

Speaker:

on this platform to get to

Speaker:

the data you want, filtering is

Speaker:

really hard.

Speaker:

And so we need to make

Speaker:

filtering easier.

Speaker:

Let's work on the UX to be able

Speaker:

to change filtering.

Speaker:

And even there, right, we wanted to

Speaker:

jump to the quick fixes.

Speaker:

Yes, let's work on filtering

Speaker:

UX changes, but don't

Speaker:

make radical shifts because that's

Speaker:

going to take a long time for us to

Speaker:

build.

Speaker:

Let's do something that can

Speaker:

increase our metrics and let's

Speaker:

try something small first.

Speaker:

So this is exactly what you're

Speaker:

talking about. And that was the trap

Speaker:

that we were falling into

Speaker:

until we said, but hang on,

Speaker:

let us first observe what is the

Speaker:

puzzle.

Speaker:

Is filtering truly why

Speaker:

people who are in different roles,

Speaker:

not brokers?

Speaker:

Is filtering truly the reason

Speaker:

that cargo owners or

Speaker:

ship owners are not using this

Speaker:

product?

Speaker:

We didn't think, like I didn't,

Speaker:

think so. It wasn't obvious

Speaker:

to me that filtering was the main

Speaker:

reason.

Speaker:

The people who are using the product

Speaker:

were complaining about filtering.

Speaker:

The unknown unknowns were what

Speaker:

we didn't know.

Speaker:

The people were not using it,

Speaker:

there was no data on them.

Speaker:

The way them

Speaker:

suddenly starting to think about it

Speaker:

is maybe they work together

Speaker:

or you know so you can use

Speaker:

OKRs in terms of what are the things

Speaker:

to identify what the not

Speaker:

the solution but what the

Speaker:

outcome is and like what

Speaker:

you're trying to get to but

Speaker:

so there was a

Speaker:

very clear business problem which is

Speaker:

you need to have more

Speaker:

users and users across different

Speaker:

bases and measuring the

Speaker:

success of that is important.

Speaker:

But what ends up happening I think a

Speaker:

lot in businesses is you set out the

Speaker:

OKRs, you set out the numbers, and

Speaker:

then people immediately game the

Speaker:

system or it's like it's a quarter.

Speaker:

How do we do it as fast as possible?

Speaker:

How do you do it efficiently?

Speaker:

How do cut corners so it

Speaker:

looks like we're doing it, but

Speaker:

really all we're doing is measuring

Speaker:

it slightly differently than we were

Speaker:

before and we're not actually

Speaker:

getting to the

Speaker:

true unlock.

Speaker:

And so it's the two together.

Speaker:

You need to identify what what needs

Speaker:

to change, but then not

Speaker:

make reaching it

Speaker:

the goal.

Speaker:

What you need to make is unlocking

Speaker:

it and truly understanding the

Speaker:

problem, the goal?

Speaker:

Exactly.

Speaker:

So, when you set a goal or

Speaker:

a target, the incentive you create

Speaker:

for everyone is to show you,

Speaker:

tada, look, I'm a high performer,

Speaker:

I've hit whatever numbers you

Speaker:

wanted.

Speaker:

And so, the incentives you create by

Speaker:

default is to get everyone

Speaker:

to tell you things are going great

Speaker:

and I have the numbers to

Speaker:

prove it.

Speaker:

And you know, in fact, Intel's

Speaker:

legendary CEO, Andy Grove,

Speaker:

he wrote in his book, Leaders are

Speaker:

the last to know.

Speaker:

And this is precisely why,

Speaker:

because when you set a goal or a

Speaker:

target, everyone is there to show

Speaker:

you. And it's not even malicious,

Speaker:

right? It's not that they're

Speaker:

necessarily gaming numbers on

Speaker:

purpose.

Speaker:

Even subconsciously, what happens

Speaker:

is you set a target and

Speaker:

people want to look at the positive

Speaker:

numbers and present

Speaker:

to you those positive numbers to

Speaker:

say, tada, look, things are going

Speaker:

well. And what you really want

Speaker:

people to do is to play detective,

Speaker:

look at the bad numbers too.

Speaker:

And say, huh, what just happened

Speaker:

there? You know, is there an

Speaker:

opportunity?

Speaker:

Is that a puzzle?

Speaker:

What went wrong?

Speaker:

And what can we do differently based

Speaker:

on that, right? And that's what we

Speaker:

miss when we set targets.

Speaker:

And so what you're alluding to

Speaker:

is how do you use this

Speaker:

in an OKR format?

Speaker:

So what I do with puzzle setting

Speaker:

is I call it the three

Speaker:

O's of puzzle setting.

Speaker:

So the first O is the observation.

Speaker:

So the observation in this case,

Speaker:

right, was.

Speaker:

That only tech savvy brokers

Speaker:

are using this product,

Speaker:

none of the others are.

Speaker:

We want to address the tech-averse

Speaker:

people, we want to address ship

Speaker:

owners, the cargo owners.

Speaker:

The second O is

Speaker:

the open questions.

Speaker:

These are things that you genuinely

Speaker:

don't have answers to.

Speaker:

This is where we don't know how

Speaker:

these other people think in this

Speaker:

business.

Speaker:

How do they think?

Speaker:

How is their mental model different?

Speaker:

And so that's the second O.

Speaker:

And the third O

Speaker:

The objective, and by the way, the

Speaker:

objective is named very deliberately

Speaker:

to be similar to OKR's

Speaker:

objective, right?

Speaker:

Because that objective is where you

Speaker:

summarize this puzzle.

Speaker:

And the summary of this particular

Speaker:

puzzle was, how do we

Speaker:

solve this puzzle to get back

Speaker:

to the growth trajectory we were on

Speaker:

by expanding to

Speaker:

all of these different sorts of

Speaker:

users who are not just the

Speaker:

tech-savvy brokers?

Speaker:

And so if you're using

Speaker:

OKRs instead of just having

Speaker:

arbitrary you know,

Speaker:

objectives like grow sales or

Speaker:

increase user engagement

Speaker:

or whatever that is, right?

Speaker:

Set the whole puzzle in this very

Speaker:

clear way so your team knows

Speaker:

exactly what they're going after

Speaker:

in terms of puzzle solving next.

Speaker:

And are those O's in order?

Speaker:

Absolutely. So you observe,

Speaker:

I can't remember the middle one, and

Speaker:

then objective.

Speaker:

The open questions.

Speaker:

Open questions, so that's part, so

Speaker:

you observe ask open questions,

Speaker:

figure out what's going on, set

Speaker:

your objectives, and then

Speaker:

solve the problem.

Speaker:

Exactly.

Speaker:

Let's take a sales example, right?

Speaker:

So the sales example might be,

Speaker:

you know, instead of just setting

Speaker:

the target as grow to

Speaker:

X million at the end of this year,

Speaker:

the puzzle I might set is,

Speaker:

we do want to get to X Million, but

Speaker:

here's the puzzle I see.

Speaker:

We grew at a certain rate in the

Speaker:

last three years and growth has

Speaker:

stalled, right? That's the

Speaker:

observation.

Speaker:

The open questions are, I

Speaker:

don't know what just happened.

Speaker:

Is it that maybe?

Speaker:

Something is fundamentally shifted

Speaker:

because of AI that is not obvious,

Speaker:

so even though our market isn't

Speaker:

related, there's still something

Speaker:

that's affecting our business.

Speaker:

Maybe it's that we were targeting

Speaker:

early adopters really well, but the

Speaker:

mass market, this message

Speaker:

is not resonating for them, right?

Speaker:

There might be other such open

Speaker:

questions that we genuinely don't

Speaker:

know what's happening.

Speaker:

And then the objective is the

Speaker:

summary of this puzzle.

Speaker:

How do we get back to that growth

Speaker:

trajectory by figuring this

Speaker:

out.

Speaker:

The way that you're talking about

Speaker:

it, it strikes me that these are the

Speaker:

conversations that we have as a

Speaker:

leadership team, and it's a lot

Speaker:

of how to frame

Speaker:

the strategy and understanding the

Speaker:

full context, but

Speaker:

we don't always then explain it to

Speaker:

the rest of the team.

Speaker:

So is part of this around a

Speaker:

way of explaining and

Speaker:

getting the conversations out of the

Speaker:

leadership and into the rest to the

Speaker:

organization?

Speaker:

Very much so.

Speaker:

And

Speaker:

And it creates a level of alignment

Speaker:

that is so different from

Speaker:

how we traditionally communicate

Speaker:

strategy.

Speaker:

What I often see in companies is,

Speaker:

there is discussion that happens at

Speaker:

a leadership level, but what gets

Speaker:

handed down to

Speaker:

others across the organization

Speaker:

is a very fluffy two-page strategy

Speaker:

document that says, we're going to

Speaker:

focus on our core, we

Speaker:

are going to be customer-focused,

Speaker:

and it doesn't mean all

Speaker:

that much for people.

Speaker:

Or it's a particular initiative that

Speaker:

is listed, instead this

Speaker:

defines sort of puzzles that

Speaker:

we're setting out to solve.

Speaker:

And each puzzle, there might be a

Speaker:

sales component to it.

Speaker:

The same sales puzzle might have a

Speaker:

product component to, it because

Speaker:

maybe the product was resonating

Speaker:

for the early adopter, but it's

Speaker:

not resonating for the mass market.

Speaker:

Like there's a lot that might be

Speaker:

even cross-functional that needs to

Speaker:

be figured out.

Speaker:

So that's very much around the

Speaker:

puzzle setting piece.

Speaker:

And I have some questions

Speaker:

on how big are the teams,

Speaker:

how many puzzles can you solve at

Speaker:

one time, like those

Speaker:

COO practical questions.

Speaker:

And I'm not sure if that's part of

Speaker:

the, if we're moving into the puzzle

Speaker:

solving piece there or if that still

Speaker:

in the setting.

Speaker:

The puzzle setting part, right?

Speaker:

I think it depends on the level that

Speaker:

you're at. As CEO, the

Speaker:

sales puzzle that I defined, where

Speaker:

it has a sales component,

Speaker:

where is our message resonating?

Speaker:

Why aren't our deals closing?

Speaker:

There might be a piece of that

Speaker:

puzzle for the sales team to figure

Speaker:

out. There might a product piece for

Speaker:

the product team to go figure out,

Speaker:

so at a CEO or COO

Speaker:

level, you might be setting a bigger

Speaker:

puzzle, right, and maybe

Speaker:

as a head of product, there might

Speaker:

be.

Speaker:

A smaller version of that

Speaker:

puzzle.

Speaker:

And in this particular case, the

Speaker:

puzzle was really at a product

Speaker:

level, which was why aren't

Speaker:

we growing beyond this group, right?

Speaker:

And then once we delved into

Speaker:

that, there were smaller puzzles.

Speaker:

So as we get into puzzle solving,

Speaker:

I'll share with you some examples of

Speaker:

how solving one layer of the

Speaker:

puzzle, kind of like the Rubik's

Speaker:

cube, you solve one layer and the

Speaker:

next layer becomes the next

Speaker:

thing that you're solving and you

Speaker:

keep going.

Speaker:

And, you know, this question that

Speaker:

you asked, what it reminds me of was

Speaker:

Andy Grove's book.

Speaker:

You know, he talks about only the

Speaker:

paranoid survive.

Speaker:

He talks about how you have to

Speaker:

keep experimenting, learning,

Speaker:

adapting all the time, right?

Speaker:

He doesn't even talk about OKRs,

Speaker:

even though he invented OKR,

Speaker:

and it came from Peter Drucker's

Speaker:

Management by Objectives, but he

Speaker:

inventedOKRs.

Speaker:

He never once mentioned OKR

Speaker:

in only the paranoid survive,

Speaker:

it was all about experimentation,

Speaker:

learning, adaptation.

Speaker:

And with each team

Speaker:

and at different levels, you get

Speaker:

into different pieces of the puzzle.

Speaker:

So is this purely just a framing

Speaker:

exercise from top to bottom, because

Speaker:

it's kind of the same thing, right?

Speaker:

Because whether you call them OKRs

Speaker:

or you call the puzzles or you

Speaker:

called them whatever, I recognize

Speaker:

the framing matters quite a bit and

Speaker:

also being bound by rules

Speaker:

matters quite a bit in terms of

Speaker:

giving freedom for experimentation

Speaker:

and so on.

Speaker:

But ultimately at the end of any

Speaker:

OKR, if they're done well,

Speaker:

which they're usually not, but the

Speaker:

team, the cross-functional team will

Speaker:

have a set of hypothesis or initial

Speaker:

. Things they want to put in play to

Speaker:

test out as hypothesis to

Speaker:

see if it's going to move the needle

Speaker:

related to their KR, I suppose.

Speaker:

So inherently, those initiatives are

Speaker:

puzzles because they have a

Speaker:

hypothesis. They're like, yeah, we

Speaker:

don't quite know, but we're going to

Speaker:

like, this is our first thing we're

Speaker:

gonna salvo-wise get out there to

Speaker:

see if it actually moves the needle

Speaker:

or not. So I guess my question in

Speaker:

summary is the puzzle,

Speaker:

part of it is part of generally what

Speaker:

happens in OKRs at some level.

Speaker:

So it's more just like a repackaging

Speaker:

and reframing of like what we're

Speaker:

doing here as opposed to something

Speaker:

more fundamental.

Speaker:

You know, what is funny for me is

Speaker:

this is actually what I hear from so

Speaker:

many OKR experts that,

Speaker:

you know, if you just do OKRs

Speaker:

right, then you don't run into any

Speaker:

of these problems with OKR.

Speaker:

The reason OKR aren't working for

Speaker:

you is because you haven't done OKR

Speaker:

right.

Speaker:

This is sort of the refrain that you

Speaker:

keep hearing.

Speaker:

Here's my challenge to that refrain.

Speaker:

It feels like the emperor has no

Speaker:

clothes and someone has to call it

Speaker:

out because It's

Speaker:

not that if you do it right,

Speaker:

and I'll give you examples even from

Speaker:

John Doar's book, who is the one who

Speaker:

evangelized OKRs.

Speaker:

Even from his book, I can give you

Speaker:

an example of OKR's that are

Speaker:

supposedly done right and the

Speaker:

ramifications that come from it.

Speaker:

OKR create a different mindset.

Speaker:

What research has shown about OKR

Speaker:

and specifically about

Speaker:

setting targets is

Speaker:

targets and goals,

Speaker:

they work well.

Speaker:

When you're doing a repetitive task,

Speaker:

when there is one obvious right

Speaker:

answer.

Speaker:

So research has shown that if you're

Speaker:

doing something like stuffing

Speaker:

envelopes, if you are doing crunches

Speaker:

in a gym, great, set

Speaker:

targets, it works brilliantly.

Speaker:

If on the other hand, you're doing

Speaker:

something that's more like a puzzle,

Speaker:

that's akin to something complex

Speaker:

where there's no single

Speaker:

right answer, that

Speaker:

is where goals and targets

Speaker:

do not work.

Speaker:

That the instruction, do your best,

Speaker:

actually works better.

Speaker:

Than setting a goal or a target.

Speaker:

So why is that, right?

Speaker:

And it begs the question, how did

Speaker:

we even adopt goal

Speaker:

setting as such a fundamental

Speaker:

truth in business?

Speaker:

And the answer to that, I did

Speaker:

research on this because I found

Speaker:

this fascinating.

Speaker:

Why haven't we used puzzles?

Speaker:

Because that seems more obvious.

Speaker:

Where did we come up with goal

Speaker:

setting? It came from 1940s

Speaker:

from Peter Drucker.

Speaker:

It was revolutionary at the time.

Speaker:

And why did Peter Drucker then

Speaker:

come up with this goal-based

Speaker:

approach and management by

Speaker:

objectives? What problem was he

Speaker:

solving? The problem was that he was

Speaker:

working with General Motors at the

Speaker:

time where the

Speaker:

problem they had was motivating

Speaker:

people on an assembly line

Speaker:

who are doing repetitive tasks.

Speaker:

Now it all falls into place.

Speaker:

Of course, on

Speaker:

this assembly line in the 1940s,

Speaker:

there was no automation.

Speaker:

It's all repetitive tasks and so

Speaker:

goals worked really well, exactly

Speaker:

as research shows.

Speaker:

And now we use the same approach,

Speaker:

even in a manufacturing setting.

Speaker:

Look at Boeing.

Speaker:

You set production targets and you

Speaker:

see the kind of quality issues you

Speaker:

have. So it's not a

Speaker:

matter of just setting the right

Speaker:

OKRs.

Speaker:

Sorry, I didn't mean to derail your

Speaker:

next step here, but I'm now very

Speaker:

curious about the second step.

Speaker:

We've set our scene and now we're

Speaker:

going into it.

Speaker:

Give me the low down here.

Speaker:

So puzzle solving is

Speaker:

where, instead of proving

Speaker:

that I've hit the target or the

Speaker:

number, the incentive is different.

Speaker:

We're asking three questions in

Speaker:

puzzle solving.

Speaker:

Until this point, we've looked at

Speaker:

the Rubik's Cube and how it works,

Speaker:

and puzzle solving is when we take

Speaker:

our first attempt at it and we ask

Speaker:

three questions, which is how

Speaker:

well did this work?

Speaker:

And notice the difference, right?

Speaker:

How well did it work invites

Speaker:

the good and the bad.

Speaker:

It's not like a target.

Speaker:

I'm not asking a binary question.

Speaker:

Did you or didn't you hit the

Speaker:

target? I want to know how well it

Speaker:

worked. And so the answer,

Speaker:

let's say in the sales question,

Speaker:

was, okay, we

Speaker:

tried this new messaging.

Speaker:

How well did it work?

Speaker:

The messaging worked well.

Speaker:

We got all these meetings with

Speaker:

decision makers, but we're not

Speaker:

closing the deals.

Speaker:

So that's how well that worked.

Speaker:

The next question.

Speaker:

What did we learn from it?

Speaker:

So this is where I say to teams,

Speaker:

don't just spit out statistics

Speaker:

and data at me,

Speaker:

right? Data and stats are super

Speaker:

important, but I want you to take

Speaker:

the time to figure out what is it

Speaker:

telling you? What is actually

Speaker:

happening?

Speaker:

And so in the sales example, it

Speaker:

would be that the

Speaker:

message is resonating, we're getting

Speaker:

meetings.

Speaker:

The problem, the reason why we're

Speaker:

not closing the deal is that in

Speaker:

addition to this decision maker in

Speaker:

the mass market, it turns out

Speaker:

there's a new group.

Speaker:

That we traditionally had never

Speaker:

talked to, and this group is holding

Speaker:

up the sale.

Speaker:

So that's what have we learned.

Speaker:

So now comes the third question,

Speaker:

which is based on how well it worked

Speaker:

and what you learned, what

Speaker:

will you try next?

Speaker:

And this is where I say to teams,

Speaker:

you know, imagine I give you a magic

Speaker:

wand, what would you ask for?

Speaker:

So let's start from there where you

Speaker:

really rethink things and then we'll

Speaker:

pare it down to what we can do.

Speaker:

What would you asked for?

Speaker:

And in this piece, right, to

Speaker:

solve the sales puzzle and what we

Speaker:

tried next, One example would be.

Speaker:

We're going to try creating material

Speaker:

that the decision maker can easily

Speaker:

forward to this new group.

Speaker:

We're also going to reach out to

Speaker:

them directly. We traditionally have

Speaker:

never spoken to them.

Speaker:

Here's how we might reach out

Speaker:

directly. We're gonna do webinars.

Speaker:

And now that opens up the next

Speaker:

layer of the puzzle.

Speaker:

We're trying these things and see

Speaker:

how well did it work.

Speaker:

What have we learned?

Speaker:

What will we try next?

Speaker:

It feels like this is how I operate,

Speaker:

but I just have never put into a

Speaker:

framework. I don't know about you,

Speaker:

Brandon. Like it seems like I have

Speaker:

these kinds of conversations on a

Speaker:

fairly regular basis.

Speaker:

Yeah, for sure.

Speaker:

Yeah. And I guess I'm just wondering,

Speaker:

like, what is the process then?

Speaker:

Yeah, and so isn't that fascinating?

Speaker:

Like, I agree with you.

Speaker:

Intuitively, this is how we work.

Speaker:

This is how you solve puzzles.

Speaker:

And yet, right, this not how

Speaker:

I actually see teams operate.

Speaker:

What this gives you is a scaffolding

Speaker:

so that what you find is

Speaker:

people at different levels, they

Speaker:

have different levels of knowledge,

Speaker:

skills, and experience.

Speaker:

And this scaffolding helps you

Speaker:

figure out where is someone at?

Speaker:

There have been times where I was

Speaker:

working with someone who was a

Speaker:

product manager, someone who came

Speaker:

from Amazon.

Speaker:

She was fantastic at

Speaker:

optimizing for numbers and

Speaker:

she would often present numbers that

Speaker:

looked fantastic.

Speaker:

And we started using this framework

Speaker:

and I was asking

Speaker:

these deeper questions.

Speaker:

How well did it work?

Speaker:

What have you learned?

Speaker:

And I would start to question some

Speaker:

of the numbers in the,

Speaker:

what have we learned? Like, I don't

Speaker:

just want to know that 48% of

Speaker:

people are using this.

Speaker:

Tell me the details around it.

Speaker:

How did you get to the 48%?

Speaker:

Is it that they're landing on it or

Speaker:

is it that they're going back to it?

Speaker:

Like, what is actually happening?

Speaker:

I want the details.

Speaker:

When I started asking these

Speaker:

questions, I would realize how well

Speaker:

does someone actually

Speaker:

understand what is happening.

Speaker:

It's a different level of

Speaker:

puzzle solving, right?

Speaker:

They're not just telling me numbers

Speaker:

to make things look good.

Speaker:

We're actually solving the puzzle.

Speaker:

And then I want to know, what are

Speaker:

you going to try next?

Speaker:

All of this tells me exactly where

Speaker:

someone is in terms of knowledge,

Speaker:

skills, and experience.

Speaker:

And it helps me scale leadership,

Speaker:

or rather, it helps me scale my

Speaker:

own team's efforts.

Speaker:

Like, based on who is good at

Speaker:

solving what level of puzzles, I

Speaker:

know how much to delegate.

Speaker:

So that

Speaker:

Reminds me of another guest that

Speaker:

we had on Jennifer

Speaker:

Sonderberg

Speaker:

from Board

Speaker:

Intelligence, the episode on how to

Speaker:

build a company that's smarter than

Speaker:

you are.

Speaker:

Board Intelligence are a company to

Speaker:

build good board reports,

Speaker:

like for multinational companies for

Speaker:

the most part, where board reports

Speaker:

are big and dense

Speaker:

and don't share the information that

Speaker:

people need to know to actually

Speaker:

govern businesses.

Speaker:

What they came up with was a

Speaker:

questioning framework.

Speaker:

And the power of the question,

Speaker:

and using that as a way

Speaker:

of embedding critical thinking in

Speaker:

an organization.

Speaker:

And it seems like what you're doing

Speaker:

is also solving

Speaker:

the puzzle of how do you embed

Speaker:

critical thinking in an

Speaker:

organization?

Speaker:

And the thing that has definitely

Speaker:

been my experience with OKRs

Speaker:

and goal setting is that

Speaker:

it encourages superficial

Speaker:

thinking and it encourages

Speaker:

moving fast for a result.

Speaker:

Rather than the critical

Speaker:

thinking. And so you end up with a

Speaker:

leadership team that might be

Speaker:

thinking critically and everybody

Speaker:

else is just executing and

Speaker:

cutting corners and moving fast

Speaker:

in order to hit numbers or

Speaker:

not believing in those numbers and

Speaker:

those objectives.

Speaker:

And so then just like not doing it

Speaker:

anyhow or looking like they are, but

Speaker:

knowing that it's unachievable.

Speaker:

So I can really see that you

Speaker:

need a business plan,

Speaker:

you need KPIs, you

Speaker:

need.

Speaker:

North Star, you need to know where

Speaker:

you're going to and some

Speaker:

measurements.

Speaker:

But OKRs might encourage

Speaker:

a lack of

Speaker:

critical thinking.

Speaker:

Or you can have a lot of critical

Speaker:

thinking and use OKR as a tool,

Speaker:

but you'd have to be embedding

Speaker:

your critical thinking somehow.

Speaker:

And if that's solving puzzles or

Speaker:

asking questions, that's

Speaker:

really what you're trying to

Speaker:

achieve.

Speaker:

Exactly.

Speaker:

So what you often hear in the

Speaker:

corporate world are all these trite

Speaker:

phrases, right?

Speaker:

Like, we have to embrace failure,

Speaker:

we've to encourage people to

Speaker:

experiment and we have to make it

Speaker:

okay to fail.

Speaker:

And, you know, when you think about

Speaker:

it, it just seems so contrived,

Speaker:

right, because you said you

Speaker:

love to solve Wordle and

Speaker:

all these different puzzles.

Speaker:

Let's think about, you know, when

Speaker:

you last solved Wordle probably

Speaker:

earlier today, when you tried your

Speaker:

second attempt, if you didn't get it

Speaker:

on your second attempt, did you

Speaker:

artificially go through this thought

Speaker:

process of, I'm going to embrace

Speaker:

failure and it is okay

Speaker:

to fail and I'm gonna try this next

Speaker:

experiment?

Speaker:

No, right?

Speaker:

We just sort of instinctively

Speaker:

look at something that didn't

Speaker:

work and we go, oh, here's what I

Speaker:

learned from it, here is what I'm to

Speaker:

do and adapt next, right?

Speaker:

And I think you're puzzle solving.

Speaker:

Strength is why this feels

Speaker:

so intuitive to you and you bring it

Speaker:

into business.

Speaker:

What we want to do is really

Speaker:

to spread this passion,

Speaker:

but also this drive, this

Speaker:

internal drive that people have.

Speaker:

We just want to enhance it so that

Speaker:

they can use the scaffolding

Speaker:

to solve puzzles in an

Speaker:

effective way so that we're all

Speaker:

moving forward in the same

Speaker:

direction.

Speaker:

That I also like about it being

Speaker:

called a puzzle is that it

Speaker:

turns it into play and it

Speaker:

removes some of the stress and

Speaker:

I feel like right now

Speaker:

there is just so much

Speaker:

stress in the world.

Speaker:

We have macro stress

Speaker:

like is there going to be war in

Speaker:

Europe?

Speaker:

Is there going to be a war in

Speaker:

Canada?

Speaker:

The planet's still burning up but

Speaker:

nobody cares about it right now

Speaker:

because we have more pressing issues

Speaker:

and so there's just this like of

Speaker:

control sense of dread.

Speaker:

And then you add AI.

Speaker:

Which is a runaway technology.

Speaker:

Nobody knows what's gonna happen to

Speaker:

their jobs.

Speaker:

We did the internet, and I think

Speaker:

everybody's much more positive

Speaker:

because we didn't realize what was

Speaker:

gonna happen.

Speaker:

And then social media, and now

Speaker:

there's like more fear of AI,

Speaker:

partially because of our previous

Speaker:

experiences, partially because

Speaker:

Terminator.

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With a backdrop of just everything

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is scary.

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And then what is not going to

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work in organizations right now.

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Is people are so afraid.

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It's very hard to then get

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inspired, find flow,

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play, open up your

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mind for creativity.

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And yet now is the time where we

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need to do it more than ever.

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And so how do we as leaders

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introduce and

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lighten things to

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actually get better results out of

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our people?

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And I feel like doing something like

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this and calling, and that's

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I think why I love it as a puzzle so

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much, is it just removes a

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layer of stress.

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And I know sometimes they're like,

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no, no, we need the stress to

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perform, but we have so much stress

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right now that we don't.

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We need play to perform.

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I so agree.

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With you. And I've tested this in

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workshops, in talks.

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I've tested with live audiences

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where I say, just think

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about the following two questions

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I'm going to ask you and tell me

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how you feel at the end of the two

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questions, at the end of each

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question.

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So just think about how you feel and

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the contrast. And I'm gonna ask you

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those two questions.

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What goals do you want

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to achieve for your company this

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year? And the second question is

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what puzzles do you want to solve

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for company this year.

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And the answers I get are vastly

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different.

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And I'd love your take on it.

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So I wasn't thinking about the

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actual goals, but

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when you said, what goals do you

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want to achieve? I get a bit of

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a hardness in my stomach,

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a deflating of my soul, and

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I'm like, oh, and it

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feels like really hard work.

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And then when you say, what puzzles

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do you wanna solve?

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Because I love puzzles so much, I'm,

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like, ooh, I physically lean

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forward, I have a lightness and

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a surge of energy.

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And it's like, yes, let me go and

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have some fun.

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And I really could feel those

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physical reactions to

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those words.

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There's one.

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I wanted to mention about AI because

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you brought that up.

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One of the big things that

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I see as dangerous, this combination

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of using AI and

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being so OKR driven,

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it's a super dangerous combination.

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Why do I say that?

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Because AI is going to be fantastic

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at optimizing for metrics, right?

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The better it gets at whether it's

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content creation, UX, coding,

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etc. It's going to be fantastic and

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optimizing for numbers, but it's

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not necessarily good for long-term

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business results.

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And one example that I want to give

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you is even without the use of AI,

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but now imagine AI

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used for this purpose.

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Let's think about dating apps.

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The entire dating industry

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has been in a slump.

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Why?

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Because dating apps optimize

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for user engagement.

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Tinder came out with swipe left,

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swipe right.

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Everyone copied it because user

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engagement was through the roof.

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And what that led to,

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It gamified intimacy,

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and it made human interactions more

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toxic. And the end result was

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people feeling dating fatigue,

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burnout, FOMO, deleting

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dating apps.

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And so...

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Optimizing for metrics didn't

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lead to long-term good results

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for the dating industry.

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Bumble last year laid off

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30% of all of its staff.

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And now imagine with AI, we can

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accelerate all of that

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hugely, optimize for all sorts

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of metrics, but we're not going to

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create neither better products nor

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better things for society.

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Want to ponder?

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I like it, then I

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guess it all boils down to watch

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out what you wish for because you

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might just get it.

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And so you get all, you focus on

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these metrics and they end up sowing

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the seeds of destruction.

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And which is why we need to think of

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puzzles instead, so that you're

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not just optimizing for metrics.

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Like the puzzle should have been,

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how do we make dating a

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really good experience for people

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while also monetizing?

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If our listeners can only take

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one thing away from

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today, what is it?

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As much as people say

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OKRs will work

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for you if you just do it right,

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that has never been my experience.

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There are fundamental issues with

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it.

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And what we need is a mindset shift

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from goal setting to

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one of puzzle setting and puzzle

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solving.

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And this example that I gave you of

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this maritime company I've been

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working with, sales had stalled

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in 2023.

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We used puzzle setting in puzzle

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solving, we doubled sales in 2024.

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Again in 2025.

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And we've reduced customer churn

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from 26% to 4%.

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You can drive real business

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results with puzzle setting,

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puzzle solving. You don't need goals

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for that.

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Radhika, thank you for joining us in

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the operations room.

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I love puzzles.

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I will rebrand my OKRs as a puzzle.

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I read your book. You have a book,

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don't you?

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Well, I'm working on my second book,

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actually, so it's going to be about

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why goals and OKRs don't work.

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But in the meanwhile, people can

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download the free toolkit and

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they can tell me about their

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experiences using this framework.

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And so feel free to reach out to me

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on LinkedIn to share those

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experiences.

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And it might just make it into the

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book as a case study.

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Love it. Radhika, thank you so much.

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If you like what you hear, please

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subscribe or leave us a message and

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we will see you next week.

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About the Podcast

The Operations Room: A Podcast for COO’s
We are the COO coaches to help you successfully scale in this new world where efficiency is as important as growth. Remember when valuations were 3-10x ARR and money wasn’t free? We do. Each week we share our experiences and bring in scale up experts and operational leaders to help you navigate both the burning operational issues and the larger existential challenges. Beth Ayers is the former COO of Peak AI, NewVoiceMedia and Codilty and has helped raise over $200m from top funds - Softbank, Bessemer, TCV, MCC, Notion and Oxx. Brandon Mensinga is the former COO of Signal AI and Trint.

About your host

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Brandon Mensinga