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[Dare2013] Measure and Manage Flow

[Dare2013] Measure and Manage Flow

The new version of my talk with flow efficiency and new things

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Zsolt Fabok

June 15, 2013
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  1. Measure and Manage Flow in Practice @ZsoltFabok http://zsoltfabok.com/ by Zsolt

    Fabok 2013-06-15 Broke the WIP limit TWICE Still on the team #dare13 http://dare2013.be/
  2. @ZsoltFabok or #dare13

  3. You are optimizing on flow efficiency I’m not impressed

  4. work wait work wait work lead time

  5. wait work + work = *100% flow efficiency

  6. None
  7. lead time (minutes) moving (minutes) waiting (minutes) flow efficiency 46

    40 6 87%
  8. None
  9. lead time (minutes) moving (minutes) waiting (minutes) flow efficiency 46

    40 6 87% 44 40 4 91%
  10. None
  11. None
  12. None
  13. lead time (minutes) moving (minutes) waiting (minutes) flow efficiency 46

    40 6 87% 44 40 4 91% 35 31 4 89%
  14. lead time (minutes) moving (minutes) waiting (minutes) flow efficiency 46

    40 6 87% 44 40 4 91% 35 31 4 89% 38 26 12 68%
  15. None
  16. We observed an increase in lead time This and the

    following data is the courtesy of Digital Natives
  17. Distribution of lead times days count 0 3 5 8

    10 13 15 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 22 28 33 56 average median* *Calculation of medians is a popular technique in summary statistics and summarizing statistical data, since it is simple to understand and easy to calculate, while also giving a measure that is more robust in the presence of outlier values
  18. working (hours) waiting (hours) flow efficiency 1 63 2% 7

    57 10% 2 62 3% 2 62 3% 3 61 4% Some examples of work items with 8-day lead time
  19. 5%

  20. None
  21. Distribution of lead times days count 0 3 5 8

    10 13 15 1 4 7 10 13 16 33 Before average 0 3 5 8 10 13 15 1 3 5 7 9 11 13 22 count days After median
  22. If we could move items back on the board That’d

    be great
  23. How many times the item has been moved back

  24. 0 4 8 11 15 31-32 33-34 35-36 37-38 Number

    of rejected work items count week
  25. 0 4 8 11 15 31-32 33-34 35-36 37-38 39-40

    42-43 44-45 Number of rejected work items count week
  26. Predictability is actually a good thing

  27. Sales: “I want to know when the new features can

    hit the market!” Management: “I want to know how much it will cost me!”
  28. All the work items we had so far (~20 work

    items) ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ v v v v v v v v
  29. Categorizing them into three groups ~ ~ ~ ~ ~

    ~ ~ ~ ~ ~ ~ ~ v v v v v v v v S M L
  30. The lead time distribution ~ ~ ~ ~ ~ ~

    ~ ~ v v v v M 0 1 1 2 3 3 4 1 2 3 4 5 6 7 8 9 12 13 16 SLA days count Expired
  31. The spent time distribution ~ ~ ~ ~ ~ ~

    ~ ~ v v v v M 0 1 2 3 4 5 6 6 7 8 9 10 SLA hours count
  32. None
  33. None
  34. Current experiments

  35. Courtesy of Prezi.com

  36. 0 4 8 11 15 week 1 week 2 week

    3 week 4 incoming outgoing Real data will come after finishing this experiment!
  37. Thank you very much for your attention! @ZsoltFabok http://zsoltfabok.com/