Food for Agile Thought #388: Perils of Deterministic Thinking, ChatGPT for Product Work, Interruption & Context Switching, Pre-Mortems
TL; DR: The Perils of Deterministic Thinking — Food for Agile Thought #388
Welcome to the 388th edition of the Food for Agile Thought newsletter, shared with 46,012 peers. This week, we delve into the perils of deterministic thinking and reflect on what growth may mean for a Scrum team, covering the spectrum from product discovery to DevOps. Also, we suggest strategies to minimize the influence of engineering work’s two most costly factors and point to wrong ideas typically plaguing agile transformation, from installing practices to changing culture to the mystical one-time change effort.
Then, we share real-life examples, including prompts on how product managers already use ChatGPT daily and follow John Cutler, who looks beyond the usual product-market fit approach, claiming that the biggest challenge is Product-Reality Fit instead. Also, we map the problem of creating product goals onto the Cynefin Framework and detail what experimentation entails in the complex or chaotic domain. Speaking of creating goals: you want to mitigate the risk of running in the wrong direction. Ant Murphy suggests an excellent tool for that: the pre-mortem risk analysis.
Finally, Sevawise Games created a free Monte Carlo Estimation tool that supports Parabol’s fine primer on estimation, from Planning Poker to Wall Estimation to #NoEstimates. Moreover, we explore whether we can use ChatGPT-4 to create workshops for agile practitioners; for example, Scrum Masters. Lastly, Dave Gray details the development steps of the well-known Innovation Ecosystem Map.
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🏆 The Tip of the Week: The Perils of Deterministic Thinking
Danah Boyd (via Medium): Resisting Deterministic Thinking
Danah Boyd warns of the “deeply entrenched deterministic thinking,” leading many people who “espouse deterministic thinking to believe themselves to be hyper-rational.”
Author: Danah Boyd
🍋 The Lemon of the Week
(via Medium): Agile Founders Embarrass Themself: SAFe is Agile
Manfred Friedrich rejects notions of many agile luminaries on SAFe, insisting that SAFe is agile, repeating its sales brochure.
➿ Agile & Scrum
Mark Levison: Is Good, Good Enough?
Mark Levison reflects on what growth may mean for a Scrum team, covering the spectrum from product discovery to DevOps.
Source: Is Good, Good Enough?
Author: Mark Levison
Piotr Karczmarz: Programmer Interrupted: The Real Cost of Interruption and Context Switching
Piotr Karczmarz suggests strategies to minimize the influence of engineering work’s two most costly factors.
Author: Piotr Karczmarz
Mike Cottmeyer (via Leading Agile): 4 Common Misconceptions About Agile Transformation
Mike Cottmeyer delves into wrong ideas typically plaguing agile transformation, from installing practices to changing culture to the mystical one-time change effort.
Author: Mike Cottmeyer
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🎯 Product
Lenny Rachitsky: How to use ChatGPT in your PM work
Lenny Rachitsky shares real-life examples, including prompts on how product managers already use ChatGPT daily.
Author: Lenny Rachitsky
Recommended by LinkedIn
John Cutler: Product-Reality Fit (PRF)
John Cutler looks beyond the usual product-market fit approach, claiming that the biggest challenge is PRF instead.
A big challenge is that people underestimate the impact of inertia and overestimate their ability to solve new problems. Each successive failure gets chalked up to poor execution, poor-fit leaders, or similar, and every success gets chalked up to genius. And this can go on for years — with an ever-increasing divergence between product and reality.
Source: Product-Reality Fit (PRF)
Author: John Cutler
Grant Gadomski (via Medium): Do You Really Want Your Teams to Experiment? Are you Sure?
Grant Gadomski maps the problem of creating product goals onto the Cynefin Framework and details what experimentation entails in the complex or chaotic domain.
Author: Grant Gadomski
📯 Workshop Design with ChatGPT
The following article explores whether we can use ChatGPT-4 to create workshops for agile practitioners; for example, Scrum Masters. While Liberating Structures have simplified the task, workshop design with ChatGPT may provide an alternative.
As you will learn, and despite being prone to lapse into project management speak, ChatGPT is remarkably capable of doing so, provided we feed it suitable prompts. Whether this requirement gives ChatGPT an edge over manually creating workshops remains to be seen.
👉 Learn more: Workshop Design with ChatGPT.
🛠 Concepts, Tools & Measuring
Rich Stewart: Monte Carlo Online Estimation Tool
Sevawise Games created a free Monte Carlo Estimation tool.
Author: Rich Stewart
(via Parabol Focus): 12 Agile Estimation Techniques to Try With your Team
Parabol created a fine primer on estimation, from Planning Poker to Wall Estimation to #NoEstimates.
Ant Murphy (via Medium): How To Run a Pre-Mortem: Mitigate against risks that matter
Ant Murphy sketched the steps of running a pre-mortem risk analysis.
Author: Ant Murphy
🎶 Encore
Dave Gray: The story of an XPLANATiON: How we developed the Innovation Ecosystem Map
Dave Gray detailed the development steps of the well-known map.
Author: Dave Gray
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Food for Agile Thought 388: Perils of Deterministic Thinking, ChatGPT for Product Work, Interruption & Context Switching, Pre-Mortems was first published on Age-of-Product.com.
Agile Coach / RTE / ScrumMaster
1yStefan Wolpers Buddy, this post is DENSE, chockfull of useful links and information ! This is alot of work, just wanted to recognize you for your contribution 🙏 And thank you for linking in my friend Rich Stewart work on Monte Carlo ! 🙌
Thought Provoker / COO - AI / Edge Computing
1yBlah on the lemon: Yet another "SAFe is / isn't Agile" argumentation, which doesn't even make sense when "Agile" is an undefined term. I, personally, reduce everything to the first sentence of the Manifesto: "finding better ways by doing and helping others do..." Where SAFe is better than status quo - why not? Where it isn't ... why even think about it? Why are we in this, if not make things better?