skmtc-retro-review

To turn recurring software friction logs into actionable improvements, aggregate session entries to identify hypothesized root causes, classify interventions, calculate convergence metrics, and produce prioritized review files with falsifiable action plans.

Root cause analysis for software retrospectives is the process of clustering accumulated friction log observations by hypothesized underlying causes rather than surface topics, enabling evidence-based intervention planning across tooling, code, features, skills, and documentation.

Calculate convergence metrics for friction review by measuring recurrence, severity, open-entry accumulation, knowledge backlog, and resolution velocity across clustered session logs to verify whether prior interventions worked.

You need to run a software improvement retrospective during monthly reviews, pre-release audits, or after multiple sessions on the same feature area to identify systemic friction, prioritize fixes, and verify prior action effectiveness.

Yes, you can classify intervention plans by taxonomy during a retrospective by grouping resolved root cause clusters across specific categories including tooling, code, core features, skills, documentation, examples, and removal.

The limitation of using friction logs for action planning is that accumulated entries will prevent recurring problems from being documented without follow-up only if structured extraction, hypothesis-based clustering, and convergence measurement are strictly applied.