grill-me

Validate feature design assumptions by using a structured decision tree interview that walks through every design branch. It enforces a Dependency Ledger requiring evidence or accepted-risk sign-off for external dependencies and non-functional requirements before launch.

Stress-testing a PRD involves systematically reviewing unvalidated design assumptions like user persona claims and internal service dependencies. A mandatory dependency ledger tracks each risk, requiring explicit evidence or acknowledgment before design sign-off to prevent failures.

Yes, you can review implementation plans for external dependency failures. The process applies a structured interview to identify unconfirmed APIs and tracks them in a parallel Dependency Ledger, blocking session closure until every row has supporting evidence or an accepted-risk status.

You need a dependency ledger for pre-implementation review to track unmet non-functional requirements and external service risks. It prevents assumption-driven launch bugs by mandating explicit evidence or accepted-risk acknowledgment for every tracked dependency before coding begins.

Design validation works for catching unmet non-functional requirements by systematically questioning every design branch. It logs NFR targets into a dependency ledger, ensuring teams provide supporting evidence or explicitly accept the risk before finalizing the feature design.

You should avoid using a structured decision tree for feature design when your project has no external dependencies, non-functional requirements, or user persona claims to validate, as the mandatory dependency ledger and evidence tracking are designed to mitigate complex pre-implementation risks.