12. Current Reality Tree
• Let’s dive into why this is a problem
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
13. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
14. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem HEAVEY
MANUAL
TESTING
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
15. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LATE
FEEDBACK
HEAVEY
MANUAL
TESTING
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
16. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
END TESTING
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
17. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
END TESTING
BIG
BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
18. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
END TESTING
BIG
BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
19. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
END TESTING
BIG BIG
FEATURES BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
20. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
21. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
22. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
23. Current Reality Tree
LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
PER
PERSON
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
24. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
PER
PERSON
SPECIALIZAT-
ION
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
25. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
PER
PERSON
SPECIALIZAT- LONE
ION WOLFS
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
26. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
PER
PERSON
SPECIALIZAT- LONE
ION WOLFS
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
27. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE
PERSON
SPECIALIZAT- LONE
ION WOLFS
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
28. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
SPECIALIZAT- LONE
ION WOLFS
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
29. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
SPECIALIZAT- LONE
ION WOLFS
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
COLLECTIVE
OWNERSHIP
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
30. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
SPECIALIZAT- LONE
ION WOLFS
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
31. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE
NOT EFFECTIVE
ION WOLFS POLICY TOO
STRICT
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
32. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE
NOT EFFECTIVE
ION WOLFS POLICY TOO
STRICT
LIMIT
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
PICTURE
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
33. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
PICTURE
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
34. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
35. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
TRANSITION
BASED ON
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
36. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
EFFECTIVE
TRANSITION SLICING
BASED ON
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
37. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE
OWNERSHIP
LEVEL
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
38. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE
FEATURE WHOLE AUTOMATION
OWNERSHIP
LEVEL TEAM PYRAMID
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
39. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE INVEST IN
FEATURE WHOLE AUTOMATION
OWNERSHIP REMOVING
LEVEL TEAM PYRAMID
INSTABILITY
LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
40. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE START AS IS, INVEST IN
FEATURE WHOLE AUTOMATION
OWNERSHIP SHORTEN REMOVING
LEVEL TEAM PYRAMID
WHEN INSTABILITY
PREDICTABLE LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
41. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE START AS IS, INVEST IN
FEATURE WHOLE AUTOMATION
OWNERSHIP IMPROVEMENT SHORTEN REMOVING
LEVEL TEAM PYRAMID
BACKLOG WHEN INSTABILITY
PREDICTABLE LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
42. Current Reality Tree LOW HIGH STABILIZATION
PREDICTABILITY COSTS
• Let’s dive into why this is a problem
LARGE
WIP
LONG
CYCLE
LATE
FEEDBACK
QUALITY
@ THE
HEAVEY
MANUAL
TIMES END TESTING
BIG BIG
FEATURES BATCHES
FEATURE
LIMIT FEATURES DONE
PER
IN PROGRESS DONE AUTOMATE AS CONTINUOUS
PERSON
PART OF DONE INTEGRATION
FEATURE
SPECIALIZAT- LONE FREEZE OUR
NOT EFFECTIVE HIGH BUILD IS
ION WOLFS POLICY TOO
STRICT COST NOT
LIMIT STABLE
SMALLER
OPEN
FEATURES
DEFECTS
LIMIT AT THE
COLLECTIVE START AS IS, INVEST IN
FEATURE WHOLE AUTOMATION
OWNERSHIP IMPROVEMENT SHORTEN REMOVING
LEVEL TEAM PYRAMID
BACKLOG WHEN INSTABILITY
PREDICTABLE LOSE
SIGHT OF LARGE FIX M/L
THE BIG OVERHEAD DEFECTS?
EXISTING PICTURE
GAP IS TO
BIG
PRAGMATIC
EFFECTIVE
TRANSITION RISK
SLICING
BASED ON PROFILING
NECESSITY
http://blog.crisp.se/henrikkniberg
http://www.flickr.com/photos/librarygoblin/4307610546/lightbox/
43.
44. PO Workshop Automation / CI Limit Features in Progress Done Done / Limit Defects Backlog
Learn Backlog Grooming Release Flow Workshop
Automation Backlog with
Try to break 3 largest
Effort and Saved Manual Dry run of release execution VSM
Features
Cost
Avg Feature Size – ½ of Allocate Automation tasks Plan for ½ Features in Progress
DoD for Each Stage
last release % of release capacity compared to last
Plan Automation tasks as Slack
Pull Policy for Everyone defect Leakage/MTBF ½ of last
Opportunity / Flexibility
Open Defects threshold for
stopping the line
READY verifies size Nightly Build Feature-Driven Pull Work according to DoD
Tactical plan for enabling Focus
CI
Do on Features
Auto Sanity in CI
Hand Hold until X% Health
Monitor Feature Size Monitor Auto Debt
Manage CFD Monitor Defects In/Out Flow
Control Chart Progress
Monitor actual Feature Monitor Build MTBF,
Enforce Pull Monitor Defects Leakage/MTBF
Cycle Time MTRR
Check Monitor overall Features in Stop the line if Defects Backlog
Progress above threshold
Monitor “Total size of Features
in Progress”
POOGI on features that POOGI on Features were POOGI on Bottlenecks affecting POOGI on reasons for Stopping
turned out big Automation was expensive flow the Line
Act POOGI On long and tough POOGI on Features that were POOGI on Defects with highest
build failures hard to parallelize/focus on MTBF/Leakage
Improve Parallelism