rework-early-warning

To detect high-rework zones, analyze requirement, decision, and PR history for convergence gaps. This process distinguishes healthy exploration from unresolved churn that threatens to invalidate completed work.

Delivery churn occurs when requirements and decisions change repeatedly without reaching a stable state. Convergence gap analysis identifies this by evaluating implementation history to find unresolved cycles.

Stop repeated requirement changes by identifying the single most critical clarification needed to break the rework cycle. You can then choose to pause, narrow scope, or continue with accepted risk.

Yes, you need decision logs and PR history. Generating evidence-linked warnings and intervention options requires access to delivery case evidence to accurately analyze convergence gaps.

Use it during a sprint review when acceptance criteria have been modified multiple times in a week. It helps determine if you should pause to resolve a fundamental architectural assumption before writing more code.

The best way to manage unbounded churn is to detect high-rework zones by analyzing implementation history for convergence gaps. This provides evidence-linked warnings and high-leverage intervention options.