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.