01 · Product decisions
Building Faster Is Easy. Choosing What to Build Is Harder
When delivery gets easier, choosing what deserves to be built matters even more. Explore how to distinguish activity, confidence and evidence.
Takeaway: Questions that reveal unresolved decisions and what you need to learn next. Discovery continues after the prototype, MVP and launch.
02 · Customer understanding
The Problem Behind Your Solution
A founder's own experience can reveal an opportunity and shape assumptions. Look beyond the proposed solution and immediate symptoms to the progress customers are trying to make.
Takeaway: A way to question the problem, connect customer progress to solution fit and examine assumptions while retaining the conviction to act.
03 · AI product value
AI Features That Users Value and Trust
Start with the customer job and the consequences of the experience. Explore what an AI feature needs to make useful progress and earn appropriate trust.
Takeaway: Practical questions about value, usability, uncertainty and evidence before committing to an AI-enabled solution.
04 · Discovery practice
Building the Right Things in the Age of AI
Consider how AI can support discovery while people remain accountable for its decisions. Connect structured learning with the courage to challenge assumptions and change direction.
Takeaway: A clearer distinction between AI assistance and human judgment, and why the Human Foundation remains essential.