Food for Agile Thought #378: Top 1% Product Managers, Is Scrum Process-Heavy? 2023 State of PM, Could ChatGPT Do My Job?

TL; DR: Top One Percent Product Managers — Food for Agile Thought #378

Welcome to the 378th edition of the Food for Agile Thought newsletter, shared with 36,661 peers. This week, we reflect on the (product management) industry’s obsession with the top one percent, given the ambiguity about what product managers do. Also, we analyze why Lean Startup is an excellent blueprint for Scrum teams seeking to extend their knowledge of the problem and solution space while breaking down Scrum into components and composite elements, asking: Is Scrum process-heavy? Moreover, we enjoy Jason Yip’s approach to becoming a leadership whisperer.

Then, ProductPlan released the latest edition of its ‘data-backed exploration of how product teams support the entire product lifecycle, from idea to launch and beyond,’ and we learn from a 17th-century naval disaster how not to pursue product design. Speaking of which: We are thirty years into ‘Agile,’ and Jeff Gothelf asks why so few companies incentivize learning and experimentation.

Finally, we list seven estimation anti-patterns, from pretending certainty to effort tampering to story point inflation, and reflect on the increasing popularity of tracking velocity across teams, according to data from the Annual State of Agile reports. Moreover, Sally Goble shares proven practices to get your codebase back into shape, and we advocate that forcing change is often fruitless; why not persuade them with science?

Food for Agile Thought #378: Top 1% Product Managers, Is Scrum Process-Heavy? 2023 State of PM, Could ChatGPT Do My Job? Age-of-Product.com
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Agile Transformation: ChatGPT or McBoston?

TL; DR: Agile Transformation with ChatGPT or McBoston?

This article is another excursion into this nascent yet fascinating new technology of generative AI and LLMs and the future of knowledge work. I was interested in learning more about a typical daily challenge many agile practitioners face: How shall we successfully pursue an agile transformation? Shall we outsource the effort to one of the big consultancies — McBoston? Or shall we embark on an agile transformation with ChatGPT providing some guidance?

If technology can pass a Wharton MBA exam, maybe, it deserves some attention. We thought that AI might initially come after simple office jobs. I am no longer sure about that. Maybe, ChatGPT’s successor will start at the top of the food chain.

Agile Transformation: ChatGPT or McBoston? Age-of-Product.com
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Food for Agile Thought #377: Spotify Model Critique, Building Products With AI, Gemba Walk Guide, Product or Feature?

TL; DR: Spotify Model Critique — Food for Agile Thought #377

Welcome to the 377th edition of the Food for Agile Thought newsletter, shared with 36,609 peers. This week, we start with a Spotify Model critique: Jason Yip dissected what many consider an agile framework from an insider’s perspective. Also, we point to issues contributing to management’s failure to keep pace with innovation, from branded management practices vying for attention to business school complicity to confusing management with exact science, and we appreciate John Cutler’s sketch of a simple framework to become a better leader.

Then, we apply the 5C model to ‘bring some structure and product thinking to AI solutions.’ Additionally, we share practical advice on a common product management challenge: feature or product? Also, we listen to Jason Knight and Jeff Gothelf philosophizing about the necessary shift from output to outcome orientation and why organizations still struggle to do so, and we explain Spotify’s approach to validation employing the broader DIBB framework: Data, Insight, Belief, and Bet.

Finally, John Shook shares his guidelines for Gemba walks as an outside advisor, from asking why to showing respect. Moreover, RebootHQ released a bundle of free self-guided courses, and Puppet made the 10th edition of the State of DevOps Report available. Lastly, we shed light on quality metrics, defining different ones for different stakeholder groups while warning of the risks of gaming them.

Food for Agile Thought #377: Spotify Model Critique, Building Products With AI, Gemba Walk Guide, Product or Feature? Age-of-Product.com
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Scrum Master Interview Questions 2023: The Scrum Master Role

TL; DR: Scrum Master Interview Guide 2023: The Scrum Master Role

If you want to fill a Scrum Master position in your organization, you may find the following interview questions helpful in identifying the right candidate. They are derived from my seventeen years of practical experience with XP as well as Scrum, serving both as Product Owner and Scrum Master, as well as interviewing dozens of Scrum Master candidates on behalf of my clients. This revised set of questions addresses the Scrum Master role.

Given the remarkable results, ChatGPT recently scored in my fictitious interview for a Scrum Master position; I added extra scrutiny to the nature of the questions. While I find ChatGPT a fascinating technology, I want it to fail in this interview challenge.

So far, this Scrum Master interview guide has been downloaded more than 25,000 times.

Scrum Master Interview Questions 2023: The Scrum Master Role — Age-of-Product.com
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How much Product Discovery Is Enough? Itamar Gilad’s Confidence Meter

TL; DR: Evidence-guided Product Discovery Using Itamar Gilad’s Confidence Meter

How much product discovery is enough? Figuring out what is worth building often feels valuable in and of itself. The problem is that becoming stuck in an endless discovery cycle neither solves your customers’ issues nor contributes to your organization’s sustainability. Don’t worry; help is on the way in the form of Itamar Gilad’s Confidence Meter!

How much Product Discovery Is Enough? Itamar Gilad’s Confidence Meter — Age-of-Product.com

📺 Watch the video now: How much Product Discovery Is enough? Itamar Gilad’s Confidence Meter Explained — Hands-on Agile #47.

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Food for Agile Thought #376: Product Team Performance, Injustice at Work, How to Lead Complexity, ChatGPT Prompts for Scrum

TL; DR: Product Team Performance — Food for Agile Thought #376

Welcome to the 376th edition of the Food for Agile Thought newsletter, shared with 36,564 peers. This week, we listen to our two product heavyweights, Lenny Rachitsky and John Cutler, delving into the performance of product teams. We continue with suggesting abandoning the popular framing that Waterfall is the opposite of Agile and that moving from one to the other requires a transformation, and identify four roles, at least one which you will play in a moment of injustice: person harmed, upstander, the person who caused harm, or leader. Moreover, we learn how a major Toyota program was saved by descaling and applying Scrum.

Then, we enjoy Marty Cagan sharing his approach to how teams and companies “can best deal with the challenges of complexity.” Also, we explore “three popular models for product teams,” and point to stakeholder alignment factors, from not trapping yourself to not confusing roadmaps with release plans to treating stakeholders as customers. Moreover, the ProdPad folks compiled a comprehensive list of questions your team may engage in identifying what is worth building.

Finally, Petra Wille shares the first findings from her 2022 survey into what drives thriving communities of practices for product people. Next, JTBD Toolkit released the JTBD Canvas 2.0, and there are new ChatGPT prompts for Scrum Masters, Product Owners, and Developers. Lastly, Tami Reiss has a candid conversation with Rich Mironov on product ethics and the corresponding responsibilities of product managers and leaders.

Food for Agile Thought #376: Product Team Performance, Injustice at Work, How to Lead Complexity, ChatGPT Prompts for Scrum — Age-of-Product.com
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