I recently facilitated a product management training for one of my most loyal clients with Rachel Dubois. In this context, and building on the framework proposed by Rachel, I generated with Claude Pro Sonnet 4.5 a whole set of documents about Peetic to illustrate our points.
Peetic is a fictional scenario about our favorite pets, dogs. I’ve been using it since 2012 and it has spread to others (Claude Aubry, Rachel, etc.). It’s under CC BY-SA 4.0 license, so you can use it without worry (you just need to cite me).
To start generating these documents, Claude Pro is based on a set of things I already have: a backlog, retros, personas, impact mapping, user story maps, conversations, etc. (And yes, the image above is from Midjourney)
To date in this domain, AI behaves like a consultant: it is fertile with well-packaged ideas without real emotion. It’s useful for opening one’s mind, but you must keep your free will, an attentive eye, a capacity for criticism. Often it proposes things that are too dense. Culture is like jam. But it’s useful to have a good overview of many examples.
Naturally if you want to hear Rachel and me talk about all this, it’s here: Masterclass Product Management
Content
- Peetic Vision Mission Values
- Peetic Lean Canvas synthesis
- Peetic Rumelt Strategy
- Peetic DIBB Framework
- Peetic Job To Be Done
- Peetic Opportunity Solution Tree
- Peetic OST - JTBD - diagram
- Peetic OST - JTBD
- Peetic prioritized Impact Mapping
- Peetic Thoughtful Execution
- Peetic test plan
- Peetic Corinne’s Storyboard
- Peetic Storytelling
- Peetic product OKR and bets
- Peetic RICE and Kano
- Peetic User Story Mapping
About having AI-generated documents, what about articles and books (spoiler: no!) -> about