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Data Measurement Guide (Part 2): Define What You're Measuring Before Arguing About Metrics

A publicly reusable metric dictionary: from requests and users to tasks, explaining how availability, error, latency, performance, and feedback data should be defined, combined, and interpreted.

LiyukLiyukPublished March 27, 202113 min read
  • #Data
  • #Metrics
  • #Measurement
  • #Observability
  • #Technology
  1. 1Data Measurement Guide (Part 1): Data Definitions Are the Interface of CollaborationShort · 6 min read
  2. 2Data Measurement Guide (Part 2): Define What You're Measuring Before Arguing About MetricsShort · 13 min readThis chapter
  3. 3Data Measurement Guide (Part 3): Metric Tiers, Let Data Serve the Most Important Decisions FirstShort · 4 min read
  4. 4Data Measurement Guide (Part 4): The Metric Dictionary Template — Turning Definitions into a Recomputable Collaboration InterfaceShort · 4 min read
  5. 5Data Measurement Guide (Part 5): Periodic Statistics and Retrospectives, Turning Numbers into the Next ActionShort · 4 min read
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← PreviousData Measurement Guide (Part 3): Metric Tiers, Let Data Serve the Most Important Decisions First
Next →Data Measurement Guide (Part 1): Data Definitions Are the Interface of Collaboration
View the column “Data Metrics Guide”← Previous: Data Measurement Guide (Part 1): Data Definitions Are the Interface of CollaborationNext: Data Measurement Guide (Part 3): Metric Tiers, Let Data Serve the Most Important Decisions First →

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