TL; DR: How ChatGPT Works — Food for Agile Thought #380
Welcome to the 380th edition of the Food for Agile Thought newsletter, shared with 36,747 peers. This week, we learn how ChatGPT works; Stephen Wolfram wrote an epic article essential for everyone working in the knowledge space. Moreover, we introduce a new category — 🍋 The Lemon of the Week — for pieces that get everything wrong. It would be best if you were strong for the first example; someone built a stack-ranking system for Developers based on velocity. Back to the real world: We share a simple revelation, explaining all: ‘We cannot know the value of our work until it’s done and in use.’ (Of course, everyone wants us to predict what value will be created in advance precisely; you notice the contradiction.) Also, we push back against the consensus and delve into the possibilities to overcome the ‘various hurdles keeping us from doing our best work.’
Then, we compile a comprehensive list of behavioral anti-patterns for newbies and seasoned product practitioners alike, from building your work on assumptions to falling in love with your solution. Roman Pichler addresses how to best utilize Scrum’s potential to deliver valuable Increments as a product mensch, from including product discovery to aligning stakeholders, and we put ‘forward an alternative mental model for product development: think about building a garden, not a factory.’
Finally, the Scrum Master Salary Report 2023 is out; see below. Additionally, Teresa Torres shares the result of the first Continuous Discovery Habits survey. On the tool side, we found a simple yet helpful tool identifying the key features of your product and an introductory guide on supporting your CoP to mature, from guiding principles to meeting formats.
