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.

Guides analysis of object-centric processes using OCPM tools, including object types, executions, and edges. Provides filter construction for timeframes and delays, emphasizing evidence-based conclusions.

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.

Guides investigating common or slow process variants, cases with repeated work, and exact-case queries in Process Mining. Provides step-by-step tool calls for variant metrics, rework filtering, and attribute-based case selection, adhering to shared contracts and investigation methods.

This skill resolves missing measures by reusing saved custom metrics or creating ephemeral formulas. It guides users to confirm metric definitions, units, and aggregation logic before calculation. It prioritizes native outputs and saved metrics over formula creation. The skill ensures validation of formulas and reports results as non-persistent data without saving new definitions.

Guides investigation of broad process mining questions, observed patterns, or competing explanations across analytical perspectives, using an evidence loop to test claims and route to specialists.