assumption-extractor

Assumption auditing reviews technical plans to surface hidden claims before implementation. You extract implicit assumptions, classify them by visibility and verification status, and assess risk impact to ensure critical design risks are addressed upfront.

You audit assumptions in a feasibility assessment before committing to implementation. This process surfaces hidden risks about API compatibility or performance, ensuring critical technical risks are addressed upfront before they become expensive surprises.

You classify extracted assumptions by visibility, verification status, recommended verification method, and risk impact. This systematic classification treats each technical plan as a collection of testable claims to address critical risks upfront.

Yes, you can use this to audit microservice design plans for unstated assumptions about API compatibility or performance. It systematically extracts and classifies hidden assumptions, ensuring critical risks are addressed before implementation.

The best way to verify explicit claims in technical documents is to systematically extract them, classify by visibility, and assign a recommended verification method. This audits the plan for unstated risks before committing to implementation.