prioritize-assumptions

You can prioritize product assumptions by applying an Impact × Risk framework that evaluates each assumption to produce a clear test order for discovery and roadmap planning. It identifies which assumptions to test first.

To decide what to test first during product discovery, use ICE/RICE-style calculations to map impact and risk, generating a prioritized matrix that highlights the most impactful and least risky assumptions for testing.

To design experiments for high-priority assumptions, propose minimal, measurable tests with defined success criteria and success metrics. The framework outputs an experiment design for each prioritized assumption.

Yes, you can triage a backlog of assumptions or research findings to focus on the most impactful and least risky tests by evaluating each item across impact and risk dimensions during validation scenarios.

Yes, the assumption prioritization framework outputs a prioritized matrix complete with experiment design and success metrics for high-priority items to guide validation and roadmap planning.