audit-friction

Conversation log analysis identifies and categorizes friction patterns across Claude Code sessions to surface recurring bottlenecks. It scans user sessions and tool interactions to extract context and score risks for actionable mitigations.

Yes, friction audits support batch analysis across multiple Claude Code sessions. The process applies multi-category grouping with optional date ranges and session filtering to map workflow sequences and isolate root causes.

Friction pattern detection is the process of scanning conversation logs to expose tool errors and workflow friction that cost development effort. You need it when recurring bottlenecks in Claude Code sessions cause consistent frustration.

Root-cause extraction maps friction patterns to specific workflow sequences within conversation logs. It evaluates tool interactions across filtered sessions, applying risk scoring to pinpoint the exact operational bottlenecks requiring mitigations.

Yes, friction auditing operates independently without requiring external dependencies or components. It processes conversation logs internally to generate multi-category analysis, context extraction, and actionable mitigations.

The best way to surface mitigations is performing a friction audit that categorizes tool errors by pattern and applies risk scoring. This multi-category analysis isolates workflow friction and outputs targeted root-cause fixes.