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Lean IT Summit 14 & 15 March 2017
Copyright © Institut Lean France 2017
Help! We’re doing lean but we
are not improving
(an inconvenient leadership journey)
Leendert Kalfsbeek & David Bogaerts Contact:
Leendert.Kalfsbeek@ing.nl
David.Bogaerts@ing.nl
2
Who are we?
Leendert David
Where do we work?
3
Omni Channel IT
~ 450 engineers
4
What do we want to share today?
1. Our agile / lean journey so far
2. Our current challenge (how it works
in theory)
3. How it works in practice
4. Simple, but not easy (What we’ve
learned)
5. Summarizing (what we wanted to tell
you)
Our agile / lean journey so far
5
Some results
Numberof
deploysperweek
Leadtime
Number of agile teams
2010 3 pilot teams
2011 ~80 teams
2013 ~150 teams
2016 ~300 teams
Leadtime
6
Teams Improving
≠
Achieving our strategic results
Teams were doing great!
7
What do we want to share today?
1. Our agile / lean journey so far
2. Our current challenge (how it works
in theory)
3. How it works in practice
4. Simple, but not easy (What we’ve
learned)
5. Summarizing (what we wanted to tell
you)
How to organize improving
8
That’s our job
Focus what we can improve
9
Go beyond our knowledge threshold
10
Validated Learning instead of guessing
The Scientific Method
Continuous dialogue on challenges
11
Creating context
What’s the
challenge?
Continuous dialogue on challenges
12
Creating context
Continuous dialogue on challenges
13
Creating context
Continuous dialogue on challenges
14
Creating context
‘Every two weeks’ does not make it a
habit
15
Rhythm & Routine
=
A habit
A simple improvement routine
16
Our standard storyboard for improvements
…and one more thing
17
We ALL must try and become
exceptional improvers
18
What do we want to share today?
1. Our agile / lean journey so far
2. Our current challenge (how it works
in theory)
3. How it works in practice
4. Simple, but not easy (What we’ve
learned)
5. Summarizing (what we wanted to tell
you)
From direction to challenge
19
Rhythm & Routine
20
Dialogues
1x every week
2x every week
Preferably daily
Though
=
through
Improving availability
21
Why did we start with this storyboard:
1. Nowadays customers that want to do banking all expect a full online service, anytime,
anywhere.
2. Within the bank we invested a lot in new technologies and did several improvement
projects (not kata’s) to improve the availability.
3. However we saw that the actual downtime was not decreasing but
increasing to on average 500 min per month.
Challenge
New technology, old processes
22
We investigated the causes and learned a lot about our current result:
1. 73% of all downtime was caused by our own changes in the systems. Only 27% was
caused by incidents.
2. Of these changes +/- 40% was with technology, designed to be always
available.
3. There were multiple teams responsible for these systems and doing changes
independent from the others.
4. The procedures used to change the systems required downtime for
all changes.
Current result
With these experiments we solved the obstacles and realized our target result:
1. Define strict norms for allowed downtime and make agreements to not accept
any exception. This reduced the downtime from 500 min to max 150
min per month.
2. Extend change procedure with specific scenario for new technology. This
reduced the number of changes that require downtime with 40%.
From more than 500 min to max 150
min
23
Target result
Accelerate the engineering teams
24
Why did we start with this storyboard:
1. Every quarter the teams deploy around 2.000 applications to production.
2. The majority of all teams deploy multiple times each sprint, some daily.
3. However, deploying a new application to production (89 each quarter) takes still
more than 3 months.
Challenge
Its a long journey to build a new app
25
We asked the users and learned a lot about our current result:
1. For all new applications an engineer had to take 114 different steps.
2. Nobody knew why some of these steps were done and if they were all still needed.
3. With these steps it took a team by average 100 days to bring a new application live in
production.
Current result
With these experiments we solved the obstacles and realized our target result:
1. Review all individual steps to simplify the engineering journey. This reduced
the number of steps from 114 to 30.
2. Automate the remaining steps that did not fit in 2 weeks. This reduced the lead time
from 42 to 21 days.
3. Make clear agreements with parties outside our tribe (risk, infrastructure etc) for the
steps that could not be automated. This reduced the lead time from 21 to 10 days.
4. Improving the whole: One roadmap for all products to realize the target condition
instead of independent roadmaps per product.
From 100 days to 2 weeks
26
Target result
27
What do we want to share today?
1. Our agile / lean journey so far
2. Our current challenge (how it works
in theory)
3. How it works in practice
4. Simple, but not easy (What we’ve
learned)
5. Summarizing (what we wanted to tell
you)
We were improving in the dark
28
We lacked data and we did not truly understand the problems
We didn’t truly understand our direction
29
Cascading context is not the same as repeating the company strategy
30
Help! We are going too slow
Find time to analyse problems that must be solved today
31
Help! We are going too fast
And are loosing people on the road
32
What do we want to share today?
1. Our agile / lean journey so far
2. Our current challenge (how it works
in theory)
3. How it works in practice
4. Simple, but not easy (What we’ve
learned)
5. Summarizing (what we wanted to tell
you)
Share context continuously
Context
=
The specific information on what
problem to solve
33
34
Go and look for the unknown
And meanwhile validate the learning
Rhythm & routine to make it happen
2% of our body
Consumes 20% of our energy
~ 95% Unconscious
(conserves energy)
~ 5% Conscious
(costs energy)
35
Learning by doing
Building capabilities while getting results
36
37
Old habits die slow
38
It’s a long
way home
Contact:
Leendert.Kalfsbeek@ing.nl
David.Bogaerts@ing.nl

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Help we are doing Lean but we are not improving by ING

  • 1. Lean IT Summit 14 & 15 March 2017 Copyright © Institut Lean France 2017 Help! We’re doing lean but we are not improving (an inconvenient leadership journey) Leendert Kalfsbeek & David Bogaerts Contact: Leendert.Kalfsbeek@ing.nl David.Bogaerts@ing.nl
  • 3. Where do we work? 3 Omni Channel IT ~ 450 engineers
  • 4. 4 What do we want to share today? 1. Our agile / lean journey so far 2. Our current challenge (how it works in theory) 3. How it works in practice 4. Simple, but not easy (What we’ve learned) 5. Summarizing (what we wanted to tell you)
  • 5. Our agile / lean journey so far 5 Some results Numberof deploysperweek Leadtime Number of agile teams 2010 3 pilot teams 2011 ~80 teams 2013 ~150 teams 2016 ~300 teams Leadtime
  • 6. 6 Teams Improving ≠ Achieving our strategic results Teams were doing great!
  • 7. 7 What do we want to share today? 1. Our agile / lean journey so far 2. Our current challenge (how it works in theory) 3. How it works in practice 4. Simple, but not easy (What we’ve learned) 5. Summarizing (what we wanted to tell you)
  • 8. How to organize improving 8 That’s our job
  • 9. Focus what we can improve 9
  • 10. Go beyond our knowledge threshold 10 Validated Learning instead of guessing The Scientific Method
  • 11. Continuous dialogue on challenges 11 Creating context What’s the challenge?
  • 12. Continuous dialogue on challenges 12 Creating context
  • 13. Continuous dialogue on challenges 13 Creating context
  • 14. Continuous dialogue on challenges 14 Creating context
  • 15. ‘Every two weeks’ does not make it a habit 15 Rhythm & Routine = A habit
  • 16. A simple improvement routine 16 Our standard storyboard for improvements
  • 17. …and one more thing 17 We ALL must try and become exceptional improvers
  • 18. 18 What do we want to share today? 1. Our agile / lean journey so far 2. Our current challenge (how it works in theory) 3. How it works in practice 4. Simple, but not easy (What we’ve learned) 5. Summarizing (what we wanted to tell you)
  • 19. From direction to challenge 19
  • 20. Rhythm & Routine 20 Dialogues 1x every week 2x every week Preferably daily Though = through
  • 21. Improving availability 21 Why did we start with this storyboard: 1. Nowadays customers that want to do banking all expect a full online service, anytime, anywhere. 2. Within the bank we invested a lot in new technologies and did several improvement projects (not kata’s) to improve the availability. 3. However we saw that the actual downtime was not decreasing but increasing to on average 500 min per month. Challenge
  • 22. New technology, old processes 22 We investigated the causes and learned a lot about our current result: 1. 73% of all downtime was caused by our own changes in the systems. Only 27% was caused by incidents. 2. Of these changes +/- 40% was with technology, designed to be always available. 3. There were multiple teams responsible for these systems and doing changes independent from the others. 4. The procedures used to change the systems required downtime for all changes. Current result
  • 23. With these experiments we solved the obstacles and realized our target result: 1. Define strict norms for allowed downtime and make agreements to not accept any exception. This reduced the downtime from 500 min to max 150 min per month. 2. Extend change procedure with specific scenario for new technology. This reduced the number of changes that require downtime with 40%. From more than 500 min to max 150 min 23 Target result
  • 24. Accelerate the engineering teams 24 Why did we start with this storyboard: 1. Every quarter the teams deploy around 2.000 applications to production. 2. The majority of all teams deploy multiple times each sprint, some daily. 3. However, deploying a new application to production (89 each quarter) takes still more than 3 months. Challenge
  • 25. Its a long journey to build a new app 25 We asked the users and learned a lot about our current result: 1. For all new applications an engineer had to take 114 different steps. 2. Nobody knew why some of these steps were done and if they were all still needed. 3. With these steps it took a team by average 100 days to bring a new application live in production. Current result
  • 26. With these experiments we solved the obstacles and realized our target result: 1. Review all individual steps to simplify the engineering journey. This reduced the number of steps from 114 to 30. 2. Automate the remaining steps that did not fit in 2 weeks. This reduced the lead time from 42 to 21 days. 3. Make clear agreements with parties outside our tribe (risk, infrastructure etc) for the steps that could not be automated. This reduced the lead time from 21 to 10 days. 4. Improving the whole: One roadmap for all products to realize the target condition instead of independent roadmaps per product. From 100 days to 2 weeks 26 Target result
  • 27. 27 What do we want to share today? 1. Our agile / lean journey so far 2. Our current challenge (how it works in theory) 3. How it works in practice 4. Simple, but not easy (What we’ve learned) 5. Summarizing (what we wanted to tell you)
  • 28. We were improving in the dark 28 We lacked data and we did not truly understand the problems
  • 29. We didn’t truly understand our direction 29 Cascading context is not the same as repeating the company strategy
  • 30. 30 Help! We are going too slow Find time to analyse problems that must be solved today
  • 31. 31 Help! We are going too fast And are loosing people on the road
  • 32. 32 What do we want to share today? 1. Our agile / lean journey so far 2. Our current challenge (how it works in theory) 3. How it works in practice 4. Simple, but not easy (What we’ve learned) 5. Summarizing (what we wanted to tell you)
  • 33. Share context continuously Context = The specific information on what problem to solve 33
  • 34. 34 Go and look for the unknown And meanwhile validate the learning
  • 35. Rhythm & routine to make it happen 2% of our body Consumes 20% of our energy ~ 95% Unconscious (conserves energy) ~ 5% Conscious (costs energy) 35
  • 36. Learning by doing Building capabilities while getting results 36
  • 38. 38 It’s a long way home Contact: Leendert.Kalfsbeek@ing.nl David.Bogaerts@ing.nl