Dev and Test Metrics 101 - Agile 2018

Dev and Test Metrics 101 - Agile 2018

Cat Swetel, accompanied by Julia Wester, will outline the most common metrics used for understanding flow and impediments in software development and test functions. This session should provide a clear picture of the types of metrics that help understand Agile development, and how to get started in capturing and using these for improving Agile adoption, improvement, and management.

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Julia Wester

August 08, 2018
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Transcript

  1. 8.

    “The RIGHTER we do the WRONG thing, the WRONGER we

    become.” -- Dr Russell Ackoff @catswetel | @everydaykanban
  2. 11.

    Time in Process Units of time per unit of work

    @catswetel | @everydaykanban
  3. 17.

    FREQUENCY TIME IN PROCESS TIME IN PROCESS DISTRIBUTION Groups are

    easier to see This one happens more often
  4. 35.

    TIME IN PROCESS DATE DELIVERED 9 9 11 6 4

    6 4 10 13 1 2 4 1 0 3 1 1 1
  5. 38.
  6. 39.

    “We are forced to consider knowledge as something that changes

    as new evidence is provided by more data, or as new predictions are made from the same data by new theories.” Statistical Method from the Viewpoint of Quality Control by Walter A Shewhart @catswetel | @everydaykanban
  7. 42.

    ESCAPED DEFECTS Jan defects found in production Feb Mar Apr

    May Jun Jul Aug Sep 4 5 8 8 10 6 12 8 11 @catswetel | @everydaykanban type
  8. 43.

    ESCAPED DEFECTS Jan defects found in production Feb Mar Apr

    May Jun Jul Aug Sep 4 5 8 8 10 6 12 8 11 @catswetel | @everydaykanban type How can we tell if we’re getting better at finding defects earlier?
  9. 44.

    % OF DEFECTS DEFECTS BY ENV percentage Key: Jan Feb

    Mar Apr May Jun Jul Aug Sep @catswetel | @everydaykanban STAGE PROD DEV INT env
  10. 47.
  11. 48.

    Predicting the movements of the one bee is nearly impossible

    without the context of the swarm of bees. Complex Adaptive Systems: An Introduction to Computational Models of Social Life by John H. Miller, Scott E. Page
  12. 68.

    “Close examination reveals that every meaningful interpretation involves a prediction.”

    Statistical Method from the Viewpoint of Quality Control Walter A Shewhart @catswetel | @everydaykanban
  13. 69.
  14. 70.

    EVIDENCE Agile Quantified (Measuring the impact of Agility) Larry Maccherone

    Wed 3:45 PREDICTION Forecasting and Estimation Hands-On Ozzie Yuce Thu 10:45 DEGREE OF BELIEF Data Driven Coaching Julia Wester & Cheryl Hammond Thu 9:00 @catswetel | @everydaykanban
  15. 71.

    Julia Wester Co-Founder & Principal Consultant Lagom Solutions julia@lagom.solutions @everydaykanban

    Cat Swetel Engineering Manager Ticketmaster cat@catswetel.com @catswetel
  16. 73.
  17. 75.
  18. 76.
  19. 81.

    QUALITY RESPONSIVENESS PRODUCTIVITY PREDICTABILITY VARIABILITY VARIABILITY VARIABILITY SHEWHART: the cause

    of v in an expected attribute. Re JUDGEMENT to know which “important quality characte (causes of undesirable varia within the bounds of reason expected economic results. FEEL FREE TO CUT
  20. 82.