Product decisions: what to build, in what order, and what to cut
5 articles
Short answer
The product decisions shelf gathers the questions that settle what gets built: where the role moves when AI makes production cheap, how discovery runs with a model as the second reader, how an AI feature is specified as test cases, and how a prioritization decision is written down so it holds. Every article carries a decision the studio made and what it cost, or a measurement with its method stated.
AI in product discovery: do the synthesis yourself first
Where a language model speeds up discovery, what it drops from an interview, and the second-reader rule that keeps a team’s customer understanding intact.
Evals are the spec for an AI feature
How to specify a feature built on a model that answers differently each run: test cases, a tolerance and who writes them, with the studio’s own figures.
When building gets cheap, deciding gets expensive
What the 2025 data says about AI and product speed, why the gain feels bigger than it is, and where the product role goes once building stops being the limit.
Case: a gynecology clinic, its care flows and its website
Four and a half months at half time: open a gynecology clinic, configure the patient flows in its digital care platform, and rebuild the website afterwards.
Deciding what to build next
The method that takes a backlog to a decision: the questions that separate proposals, how the decision is written down, and how often it is redone.
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