Skill UI

This skill helps identify explanatory attributes or hypotheses for variations in process metrics such as duration, waiting time, utilization, and rework. It involves checking metadata correlations, statistical evidence, and cohort comparisons to distinguish competing explanations. The method emphasizes evidence-based analysis, avoiding silent assumptions, and framing findings as testable hypotheses rather than definitive causal claims. It supports structured investigation of process efficiency and bottlenecks using specific analytical tools and frozen baseline scopes.

This skill enables investigation of slow activities, waiting times, and handoff durations within workflows. It identifies bottlenecks and cumulative activity workload by analyzing average durations and event frequencies. Users can retrieve bottleneck analysis, attribute statistics, and edge metrics to resolve performance issues. It emphasizes distinguishing between averages and totals, ensuring accurate workload assessment without deriving population totals from limited samples.