Stats

See high-level counts and trends from your analysis runs.

What Stats shows

• Counts of labels, branches, choices, and other story elements.
• Totals of errors and warnings by category.
• Trends over time if you compare multiple runs (e.g., errors going down, coverage improving).

When to use Stats vs Compare

• Use Stats to understand overall health and trends (are issues decreasing?).
• Use Compare to pinpoint specific differences between two runs.

How to read changes over time

• Look at trend indicators (up/down) to see if the project is getting healthier.
• Focus on new errors first, then warnings; improvements should show decreases run over run.

Common questions Stats can answer

• Are critical errors trending down after fixes?
• How many labels/branches does the project have now?
• Did enabling optional sources (like PFI/SAE) increase edge counts as expected?

What Stats does not tell you

• It does not show per-edge provenance or flowchart structure (open Flowchart for that).
• It does not explain root causes; run Analyze/Doctor for detailed diagnostics.

Learn more: Technical/analysis