Assumption Test

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Surfaces hidden product assumptions, ranks them by risk across four strategic lenses, and designs cheap experiments to validate before building.

The Assumption Test skill helps product managers and teams de-risk bets before committing engineering resources or budget. Grounded in David J. Bland and Alex Osterwalder's Testing Business Ideas framework, this skill systematically decomposes ideas into implicit dependencies across desirability, viability, feasibility, and usability. It calculates a risk score based on the likelihood of being false multiplied by the damage if false, isolates the top leap-of-faith assumptions, and designs lightweight, cost-effective experiments—such as fake doors, customer interviews, or prototypes—complete with explicit kill criteria and preset pass/fail metrics.

Key Features

01Quantifies risk by calculating likelihood of error multiplied by impact severity
02Integrates with critic subagents to detect blind spots and challenge load-bearing assumptions
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04Designs decisive, low-cost experiments like fake door tests, concierges, and spikes
05Deconstructs product concepts across Desirability, Viability, Feasibility, and Usability lenses
06Establishes predetermined pass/fail thresholds and unambiguous kill criteria

Use Cases

01Resolving stakeholder disagreements by exposing the underlying assumptions each side is betting on
02De-risking new feature pitches and PRDs before committing development sprint capacity
03Post-mortem analysis to diagnose which unexamined assumption caused a product launch to underperform