Cycle Time Targets: Spotting Trouble Before It's Too Late | Flow Metrics
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Video Description
What does "in trouble" actually mean? It's subjective... unless you have data. Cycle time targets let you define what "typical" looks like so you can spot problems before they blow up.
This video explains the 85th percentile, Service Level Expectations (SLE), and how to use aging work to quantify delivery risk.
What you'll learn:
- The 85th percentile: "85% of our work finishes in X days or less"
- Cycle Time Target vs SLE (same thing, different names)
- "Six days OR LESS" - what that really means
- The 15% danger zone: "here be dragons"
- How to spot items aging into trouble
Key insight: The longer something's been in progress, the more likely it is to be in trouble. Cycle time targets let you quantify that risk.
Works with Azure DevOps and GitHub.
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Tags
#FlowMetrics #CycleTime #SLE #ServiceLevel #Agile #Kanban #ProjectManagement #AzureDevOps #GitHub
0:00 Cycle Time Targets: Spotting Trouble Before It's Too Late 0:14 What Does 'In Trouble' Mean? 0:28 What is Cycle Time? 0:41 Cycle Time vs. Cycle Time Targets 1:10 The 85th Percentile 1:39 But why? What does this tell me? 1:57 Six Days OR LESS 2:41 Quantifying Delivery Risk 2:54 www.honestcheetah.com 3:13 Thanks for Watching
Video Info
- Duration: 3:17
- Published: January 23, 2026
