AI Product Discovery and Validation is a decision course for experienced product and operations leaders. It shows how to frame an opportunity, expose the assumptions that can break it, choose proportionate evidence and make a defensible scale, revise or stop decision.
AI is treated as a research and synthesis aid. It can help organise evidence, generate alternative explanations and challenge a decision pack. It cannot replace real customers, operating data, technical tests or accountable judgement.
Module
Decision
Workplace output
Frame the opportunity
Is there an evidenced problem worth testing?
Opportunity Logic Chain and risk map
Build evidence
What do customers do, and what would need to change?
Evidence ledger and job/segment canvas
Design tests
What is the cheapest credible test of the critical assumption?
Assumption map, prototype and research protocol
Validate reality
Can the economics, pricing and route to market work?
Scenario, pricing and channel evidence
Decide
Should we scale, revise or stop?
Product Discovery Decision Pack
Every lesson ends with a small deliverable. The capstone combines them into one decision pack for a real opportunity of your own.
