AI is making it easier to turn well-defined work into working software. But delivering faster doesn't help if we're building the wrong things.

As AI gets better at building what's on the backlog, engineers need to get better at deciding what belongs on it.

Using a real mobile app as a case study, I'll share practical product management tools for setting direction, managing risk, using evidence to make decisions, and measuring whether what you built actually worked.

Learning outcomes:
* Connect engineering work to a clear product strategy
* Use value, usability, feasibility, and viability to identify the biggest risk
* Use evidence instead of opinion to decide what to build
* Define outcomes that tell you whether what you shipped actually worked