product-discovery

De-risk product bets by applying structured discovery to connect desired outcomes to validated learning. You build an Opportunity Solution Tree, map assumptions, and run targeted experiments to ensure your product decisions are evidence-backed.

Assumption mapping identifies desirability, viability, feasibility, and usability assumptions, then prioritizes them by risk and certainty. This process generates a prioritized test plan, ensuring your team addresses the most critical product validation risks first.

Facilitate an Opportunity Solution Tree by structuring outcomes, opportunities, solutions, and experiments into a cohesive map. This aligns your team's product validation efforts and ensures all discovery activities directly support the target outcome.

Yes, you can use the included CLI script to score assumptions and automatically generate a prioritized test plan. This script processes your mapped assumptions to determine which experiments to run first based on risk and certainty levels.

Plan a discovery sprint by designing 1-2 week cycles with explicit hypotheses, defined experiments, and clear decision points. This structured approach ensures your team efficiently validates problem-solution fit within a predictable timeframe.

For problem and solution validation, you can utilize frameworks like Jobs-to-be-Done (JTBD) and Kano. These models help structure customer interviews, usability checks, and prototype tests to accurately assess problem-solution fit.