assumption-validator

Assumption validation surfaces explicit, implicit, and structural assumptions in architecture decisions by classifying load-bearing bets and transforming them into a structured risk assessment artifact. It analyzes dependency mapping and confidence calibration to reveal hidden risks.

Counterfactual analysis in risk assessment evaluates alternative scenarios by stress-testing assumptions to measure sensitivity. It reveals how varying inputs affect decision outcomes, producing a sensitivity analysis that calibrates confidence for go/no-go commitments.

Run an assumption validation pass on your product strategy to classify and prioritize load-bearing assumptions. The process generates an Assumption Inventory and risk list, leveraging evidence gathering to inform pre-commitment reviews and due-diligence contexts.

Yes, assumption validation applies to investment due-diligence contexts by surfacing structural assumptions and mapping dependencies. It produces a RISK-ASSESSMENT artifact with confidence calibration, directly informing go/no-go investment decisions.

The best way to stress-test load-bearing assumptions is through counterfactual analysis and sensitivity testing. This process classifies assumptions by priority, maps dependencies, and calibrates confidence levels to reveal structural risks in plans.

Assumption validation may be less effective when a plan lacks documented evidence or clear dependency mapping. The process relies on calibrating confidence against gathered evidence, so decisions with zero supporting documentation yield limited risk assessment value.