The Fantastic Optimus Alpha Approach to Data-Informed Retrospectives

TL; DR: Optimus Alpha Creates Useful Retrospective Format

In this experiment, OpenAI’s new stealthy LLM Optimus Alpha demonstrated exceptional performance in team data analysis, quickly identifying key patterns in complex agile metrics and synthesizing insights about technical debt, value creation, and team dynamics. The model provided a tailored Retrospective format based on real team data.

Its ability to analyze performance metrics and translate them into solid, actionable Retrospective designs represents a significant advancement for agile practitioners.

Breaking the Feature Factory: The Optimus Alpha Approach to Data-Informed Retrospective Design — Age-of-Product.com

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Generative AI in Agile: A Strategic Career Decision

TL;DR: A Harvard Study of Procter & Gamble Shows the Way

Recent research shows AI isn’t just another tool—it’s a “cybernetic teammate” that enhances agile work. A Harvard Business School study of 776 professionals found individuals using AI matched the performance of human teams, broke down expertise silos, and experienced more positive emotions during work. For agile practitioners, the choice isn’t between humans or AI but between being AI-augmented or falling behind those who are. The cost of experimentation is low; the potential career advantage, on the other hand, is substantial. A reason to embrace generative AI in Agile?

Generative AI in Agile: A Strategic Career Decision — A Harvard Study of Procter & Gamble Shows the Way — Age-of-Product.com

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The Agile Prompt Engineering Framework

TL; DR: Bridging Agile and AI with Proper Prompt Engineering

Agile teams have always sought ways to work smarter without compromising their principles. Many have begun experimenting with new technologies, frameworks, or practices to enhance their way of working. Still, they often struggle to get relevant, actionable results that address their specific challenges. Regarding generative AI, there is a better way for agile practitioners than reinventing the wheel team by team—the Agile Prompt Engineering Framework.

Learn why it solves the challenge: a structured approach to prompting AI models designed specifically for agile practitioners who want to leverage this technology as a powerful ally in their journey.

The Agile Prompt Engineering Framework: Bridging Agile and AI with Proper Prompt Engineering — Age-of-Product.com

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Join the AI for Agile Practitioners Survey — Why We Need Your Insights

TL; DR: Join the AI for Agile Practitioners Survey

As AI tools become increasingly integrated into our work, agile practitioners face the million-dollar question:

Will AI make my career obsolete? 🤔

I believe the answer is a resounding no—if we choose to understand and adapt to AI’s real impact on our field today and in the coming months.

👉 So, please invest 10 minutes and join the AI for Agile Practitioners Survey now!

AI for Agile Practitioners Survey: Join the poll and illuminate how artificial intelligence augments Agile - Age-of-Product.com

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Getting Hired as a Scrum Master or Agile Coach

TL; DR: Getting Hired as a Scrum Master or Agile Coach

Are you considering a new Scrum Master or Agile Coach job? However, you are not sure that it is the right organization? Don’t worry; there are four steps of proactive research to identify suitable employers or clients for getting hired as a Scrum Master and avoid disappointment later.

I have used those four steps for years to identify organizations I would like to work with, and they never failed me. Read on and learn how to employ search engines, LinkedIn’s people search, reach out to peers in the agile community, and analyze the event markets in the quest for your next Scrum Master job.

Getting Hired as a Scrum Master or Agile Coach — Age-of-Product.com

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60 ChatGPT Prompts Plus Prompt Engineering Guide for Scrum Practitioners

TL; DR: 60 ChatGPT Prompts for Agile Practitioners

ChatGPT can be an excellent tool for those who know how to create prompts. The simplest form of prompting ChatGPT is to feed it the task and ask for results. However, this approach is unlikely to trigger the best response from the model.

Instead, invest more time in prompt engineering, and provide ChatGPT with a better context of the situation, desired outcomes, data, constraints, etc. The following article offers a primer to creating ChatGPT prompts for Scrum practitioners to get you started running. You will learn:

  • Prompt engineering basics
  • Prompt engineering with services like PromptPerfect
  • Using ChatGPT for prompt engineering. (Yub, that works, too.)

Free Download 60 ChatGPT Prompts for Scrum Masters, Product Owners, Product Managers — Age-of-Product.com

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Free Ebook: 83 Scrum Master Interview Questions to Identify Suitable Candidates

TL; DR: The Scrum Master Interview Guide to Identify Genuine Scrum Masters

In this comprehensive Scrum Master Interview guide, we delve into 83 critical questions that can help distinguish genuine Scrum Masters from pretenders during interviews. We designed this selection to evaluate the candidates’ theoretical knowledge, practical experience, and ability to apply general Scrum and “Agile “principles effectively in real-world scenarios—as outlined in the Scrum Guide or the Agile Manifesto. Ideal for hiring managers, HR professionals, and future Scrum teammates, this guide provides a toolkit to ensure that your next Scrum Master hire is truly qualified, enhancing your team’s agility and productivity.

If you are a Scrum Master currently looking for a new position, please check out the “Preparing for Your Scrum Master Interview as a Candidate” section below.

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

Scrum Master Interview — How to Prepare Yourself to Stand Out — Age-of-Product.com

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Hiring: 82 Scrum Product Owner Interview Questions to Avoid Agile Imposters

TL; DR: 82 Product Owner Interview Questions to Avoid Imposters

If you are looking to fill a position for a Product Owner in your organization, you may find the following 82 interview questions useful to identify the right candidate. They are derived from my sixteen years of practical experience with XP and Scrum, serving both as Product Owner and Scrum Master and interviewing dozens of Product Owner candidates on behalf of my clients.

So far, this Product Owner interview guide has been downloaded more than 10,000 times.

82 Product Owner Interview Questions to Avoid Imposters — Age-of-Product.com

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📅 Upcoming Scrum Training Classes, Liberating Structures Workshops, and Events

TL; DR: Scrum Training Classes, Liberating Structures Workshops, and Events

Age-of-Product.com’s parent company — Berlin Product People GmbH — offers Scrum training classes authorized by Scrum.org, Liberating Structures workshops, and hybrid training of Professional Scrum and Liberating Structures. The training classes are offered both in English and German.

Check out the upcoming timetable of training classes, workshops, meetups, and other events below and join your peers.

Upcoming Scrum and Liberating Stuctures training classes and workshops — Berlin Product People GmbH

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Food for Agile Thought #488: Product vs Engineering, Reflexive AI Usage, Psychological Safety and Lean, Guide to Stakeholders

TL; DR: Reflexive AI Usage — Food for Agile Thought #488

Welcome to the 488th edition of the Food for Agile Thought newsletter, shared with 42,671 peers. This week, Tobi Lütke calls for reflexive AI usage as a baseline at Shopify, positioning it as a creative and productivity multiplier. Jeremy Brown offers human-centered principles for product–engineering ownership that avoid RACI wars. Aakash Gupta shows how OpenAI and Notion treat experimentation as strategic infrastructure, and Roman Pichler explores AI’s role in product strategy, emphasizing its benefits while reinforcing the irreplaceable role of human judgment. Meanwhile, the 2025 AI Index Report reveals explosive AI progress and investment and flags persistent global gaps in regulation, education, and reasoning performance.

Next, John Cutler unpacks how flawed models and stale dashboards hinder creating shared understanding at scale. Mark Graban explains why psychological safety is key to Lean success, not a nice-to-have. Mike Cottmeyer and Eric Flecher connect AI readiness to the same structural shifts required for real agility. Also, Pim de Morree makes a strong case for replacing hierarchy with well-supported self-management.

Lastly, Wes Kao shares actionable tactics with Lenny Rachitsky for clearer, more persuasive communication—especially when managing up or handling objections. Abby Covert reminds us that stakeholder misalignment, not poor structure, derails excellent information architecture. Hyunsun Park and Subra Tangirala reveal why ambiguity silences employees; they call for cultures where sensing risk isn’t just leadership’s job.

Food for Agile Thought #488: Product vs Engineering, Reflexive AI Usage, Psychological Safety and Lean, Guide to Stakeholders — Age-of-Product.com

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Change Questions, The Agile Way, Humans Robots Agents — Hands-on Agile 2025

TL; DR: Dr. Lynn Kelley, Peter Merel, and Jurgen Appelo speaking at Hands-on Agile 2025

The first videos of Hands-On Agile 2025 sessions are in, and you don’t want to miss them: Dr. Lynn Kelley reveals her “Change Questions” framework with its remarkable 90% success rate for sustainable organizational transformation, while Peter Merel challenges conventional agile thinking with “The Agile Way,” connecting ancient wisdom to modern AI-agile alignment through six essential themes. Also, Jurgen Appelo explores how AI is revolutionizing leadership in “Humans Robots Agents,” offering practical strategies for thriving amid technological disruption.

These industry veterans bring decades of enterprise transformation experience, providing actionable insights you can implement immediately. Watch the session recordings to transform how you approach agility.

Change Questions, The Agile Way, Humans Robots Agents: Dr. Lynn Kelley, Peter Merel, and Jurgen Appelo speaking at Hands-on Agile 2025 — Age-of-Product.com

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Food for Agile Thought #487: Navigating Politics, Gemini Now State-of-the-Art, Product Strategy Playbook, Embracing ‘I Don’t Know’

TL; DR: Navigating Politics — Food for Agile Thought #487

Welcome to the 487th edition of the Food for Agile Thought newsletter, shared with 42,663 peers. This week, Murray Robinson speaks with Charles Lambdin about why real organizational change hinges on navigating politics, not just process. Mike Goitein, channeling Roger L. Martin, cautions against data obsession that stifles innovation. Janna Bastow shares a curated list of must-read PM books for 2025. Meanwhile, Zvi Mowshowitz reviews Gemini 2.5 Pro’s impressive reasoning capabilities but critiques Google’s opacity. Lastly, Anthropic’s Alignment Science team exposes troubling gaps in how AIs like Claude 3.7 “think,” revealing alignment risks masked by polished reasoning chains.

Next, Aakash Gupta urges PMs to embrace adaptive, AI-informed strategies over rigid plans. Leah Tharin champions product-led growth through fast discovery and outcome focus, and Colleen McClain reveals a public-expert divide on AI optimism and regulation. Also, Ryan Singer tells Lenny Rachitsky how Shape Up restores clarity to scaling teams. And Ken Norton reframes “I don’t know” as leadership strength, not weakness.

Lastly, Barry O’Reilly calls on leaders to personally engage with AI, not outsource it, fostering curiosity and experimentation. Adam Ard critiques how “DevOps” became a silo, betraying its intent, and Jason Cohen offers a framework for simplifying tough decisions through upside-first thinking. Finally, Kim Scott reaffirms that Radical Candor means clarity with care, not cruelty, and trust at its core.

Food for Agile Thought #487: Navigating Politics, Gemini Now State-of-the-Art, Product Strategy Playbook,, ‘I Don’t Know’ — Age-of-Product.com

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Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional Micromanagement, OKR’s Hidden Costs

TL; DR: Reshaping Teamwork — Food for Agile Thought #486

Welcome to the 486th edition of the Food for Agile Thought newsletter, shared with 42,656 peers. This week, Fabrizio Dell’Acqua et al. reveal how AI can match team performance and boost collaboration in a Procter & Gamble field study. Julie Zhuo dismantles the traditional product development playbook, while Karri Saarinen champions craft and quality over speed. Itamar Gilad calls for transformational AI visions, not just incremental ones. And Paul Roetzer warns AGI may be closer than we think—raising the stakes for how we lead, build, and stay human.

Next, Zvi Mowshowitz critiques Sam Altman’s casual AGI stance, contrasting it with disruption-heavy models like Epoch’s GATE. Aakash Gupta and Tal Raviv demonstrate building an AI-powered product management copilot in under an hour. McKinsey explores how large organizations are restructuring to unlock gen AI value. Plus, Tobias Mayer and Jade Garratt explore Scrum, safety, and leadership at work.

Lastly, Matheus Lima argues that actual psychological safety thrives on respectful conflict, not artificial harmony. Ian Vanagas identifies communication pitfalls engineers face, while Jeff Gothelf exposes the hidden costs of misused OKRs. Finally, Petra Wille shares why AI notetakers don’t belong in coaching—some moments are too human for machines to capture without consequence.

Food for Agile Thought #486: Reshaping Teamwork, Product’s Code-first Future, Unintentional Micromanagement, OKR’s Hidden Costs - Age-of-Product.com

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