CT-04

Avg-Median Gap (Right Skew)

Right Skew

Default severity: medium
ProcessMetricsOutputRisk

What it detects

Average significantly higher than median — a small number of extreme outliers inflate the perceived cycle time. Gap threshold is configurable.

Detection formula

IF (avg - median) / median > config.ct.avg_median_gap_ratio // default: 0.3 THEN WARN — outliers distorting average

Examples in practice

  • Median cycle time is 5 days but the average is 8 days — a 60% gap driven by a few extreme outliers.
  • Most items finish quickly while a handful of aged tickets inflate the team average.
  • The team reports an "8-day average" even though typical work finishes in about 5 days.

Suggested response

Review cycle-time drivers on the cited work items; tighten WIP or handoffs where delays repeat.

Coaching playbook

Symptom

Average significantly higher than median — a small number of extreme outliers inflate the perceived cycle time. Gap threshold is configurable.

Why it matters

When "Avg-Median Gap (Right Skew)" keeps appearing, the team is signalling a repeatable process gap. Left unexamined, the pattern hides where work really stalls and makes improvement metrics harder to trust.

What you can achieve

Review cycle-time drivers on the cited work items; tighten WIP or handoffs where delays repeat.

Facilitation questions

  • What system change would stop "Avg-Median Gap (Right Skew)" from firing again?
  • What do the cited issues have in common — same root cause or same workaround?
  • Who owns the two-week experiment and how will we verify on the next import?

Run this rule against your own tracker data with Flow Analyzer.

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CT-04: Avg-Median Gap (Right Skew) — FlowAnalyzer