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Two Epics per Week!?
Boris Karl Schlein
AgileCoach
HAMGI-AC Customer Facing
TWO EPICS
PER WEEK
ARE WAY
TOO LOW!
© 2019 KUEHNE + NAGEL All rights reserved2
Let’s talk about
Dependencies
Potential Dependencies betweenTeams
© 2019 KUEHNE + NAGEL All rights reserved4
Potentially, there are dependencies between each team.
2Teams, 1 Dependency 3Teams, 3 Dependencies 4Teams, 6 Dependencies
Team Potential Dependency
1Team, 0 Dependencies
Dependencies and Simple GraphTheory
© 2019 KUEHNE + NAGEL All rights reserved5
Graph theory tells us, that potential dependencies (edges) between
teams (vertices) grow exponentially.
Vertices V Edges n
1 0
2 1
3 3
4 6
5 10
6 15
7 21
8 28
9 36
10 45
Vertices V
Edges n
𝑉 =
𝑛
2
= 𝑖
𝑛−1
𝑖=1
=
𝑛 − 1 𝑛
2
=
1
2
(𝑛2
− 𝑛)
28
Adding Resources May Not BeThe Answer
© 2019 KUEHNE + NAGEL All rights reserved6
Our throughput does not grow in a linear manner –
but our operating costs do!
Potential dependencies
Idealized throughput growth
Actual throughput
Impact of dependencies considered –
approximation, but aligned to real data
Dependencies
Teams
Assumption: Teams are independent
What the CFD isTelling Us
Although we added teams, our overall throughput remains constant –
per team it sank from 0.53 to 0.39 epics per week.
AACT = 71 days
W = 32 epics
8 teams
4 epics/team
2019-02-07
Little’s Law
AT = W/C = (32/71)*7 = 3.15
0.39 epics per team & week
2018-09-13
Little’s Law
AT = W/C = (11/24)*7 = 3.2
0.53 epics per team & week
2018-10-10
The growingWIP
started here
AACT = 24 days
W = 11 epics
6 teams
1.8 epics /team
AACT =:ApproximateAverageCycleTime,W =Work in Process, AT :=AverageThroughput
(datafrom7thFeb.2019)
© 2019 KUEHNE + NAGEL All rights reserved7
Component
Component
Component
Component
Component
Component
Component
Component
Component
Component
Strong Code Ownership
© 2019 KUEHNE + NAGEL All rights reserved8
Our 8 development teams complain a lot about “blockers” from other
teams.
Vostok Hudson Pacific Como…
Our Multi-level Kanban System
© 2019 KUEHNE + NAGEL All rights reserved9
Strong code ownership of teams and dependencies visualized based
on our work artifacts.
Epic X
e. g. assigned to Vostok
Epic
assigned to a single team
Story
assigned to a
single team
1
1..n
Story assigned to Vostok
Story assigned to Hudson
Story assigned to Pacific
Story assigned to Como
Team Level
Klaus Leopold: “Flight Level 1”
Coordination Level
Klaus Leopold: “Flight Level 2”
Ratio of Self-Contained Epics
© 2019 KUEHNE + NAGEL All rights reserved10
Red means, that an epic contains at least one story assigned to a
team different to the team which owns the epic.
(datafrom7thFeb.2019)
Epic X
e. g. assigned to Vostok
Epic
assigned to a single team
Story
assigned to a single team
1
1..n
Story assigned to team Vostok
Story assigned to team Hudson
Story assigned to team Pacific
Story assigned to team Como
Epic X
e. g. assigned to Vostok
Story Distribution ofTeams per Epics
© 2019 KUEHNE + NAGEL All rights reserved11
A snapshot from January 2019 – it changes depending on the demand
our teams are working on.
Strong dependencies
to Pacific,Toba andVostok
Strong dependency
toVostok
Strong dependencies
toOdra – bidirectional!
Epic
assigned to a single team
Story
assigned to a single team
1
1..n
Story assigned to team Vostok
Story assigned to team Hudson
Story assigned to team Pacific
Story assigned to team Como
Active Dependencies Make it Complex
© 2019 KUEHNE + NAGEL All rights reserved12
Active dependencies change per demand – worst case scenarios are
circular dependencies which increase complexity.
Team Potential Dependency Active Dependency
Demand A Demand B
“Chained”
Dependencies
“Circular”
Dependencies
A Little Law Called “Little’s Law”
13
Let’s just apply some standard Kanban know-how to show that we are
facing a complex environment.
CycleTime
Blockers
Throughput
Task Switches
Work in Process
© 2019 KUEHNE + NAGEL All rights reserved
WaitingTimes
𝑻 =
𝑾
𝑪
Perceived Pressure
© 2019 KUEHNE + NAGEL All rights reserved14
An easy example how external pressure increases WIP and lowers
throughput.
Low/moderate
perceived pressure
High perceived
pressure
 Dependencies exist and stay constant
 WIP stays constant
 Busy work: tendency that teams should not idle
– push & pull new work items
 WIP increases
 More dependencies
– blockers and waiting times
– push & pull new work items (vicious cycle)
Yet AnotherVicious Cycle
15
The effects of our actions are often counterintuitive.Thus, focusing
on cycle time would be more effective to work on the system.
CycleTime
Blockers
Throughput
Task Switches
Work in Process
© 2019 KUEHNE + NAGEL All rights reserved
WaitingTimesPerceived Pressure
𝑻 =
𝑾
𝑪
Pressure and the J-Curve Effect
© 2019 KUEHNE + NAGEL All rights reserved16
In times of high pressure people avoid to work on the system because
people are more risk-avers.
Effort/Gain
Time
New status quo
High perceived pressure
Negative effects,
change resistance
Positive effects Outcome
Uncovering the Real Problems
Kanban is about continuous change and improvement: Limiting the work in
process is the start – it generates pain where the real problems are and forces us
to identify and handle root causes.
© 2019 KUEHNE + NAGEL All rights reserved17
Confront the
Brutal Facts!
Systems Mapping – a Real Life Example
© 2019 KUEHNE + NAGEL All rights reserved19
A deep analysis based on observations and real data.
Be aware of the
Newtonian Mindset
Still in 2019, we are mostly influenced by a mindset of linear causalities –
even though we are working in complex environments.
© 2019 KUEHNE + NAGEL All rights reserved20
TheThreeTraps of the Newtonian Mindset
Trap of Determinism
Mindset of Linear Causalities: If I do A it must result in B.
“We must do the one thing and everything will be great!”
Trap of Directing People
Transactional Leadership.
“Do the task as I told you and get the reward! Otherwise you won’t! In the meantime, you will
not see me at all.”
Trap of Punctuation
Leads to finger pointing.
“It’s the management’s fault! “ or “It’s the team’s fault!”
© 2019 KUEHNE + NAGEL All rights reserved21
Systems thinking helps us to understand complexity by identifying causal
loops.
Trap of Determinism
© 2019 KUEHNE + NAGEL All rights reserved22
Avoid this trap by thinking in short PDCA cycles and use experiments
where people are allowed to fail.
Trap of Directing People
© 2019 KUEHNE + NAGEL All rights reserved23
Transformational leadership on all levels instead of a top-down
transactional leadership style.
Trap of Punctuation
© 2019 KUEHNE + NAGEL All rights reserved24
Start with yourself, rely on The Responsibility ProcessTM.
It’s not “either … or”, it’s “and … both”.
Something wants to happen.
Currently, there is a lot of movement inside KN.
© 2019 KUEHNE + NAGEL All rights reserved25
Addressing All Levels
Team Level (Gemba): Reduce Complexity & Focus on Flow
 Smaller user stories (and epics)
 Cross-functional feature teams (weaken code ownership)
 Increase product management maturity
Organizational Level: Enable (Transformational) Leadership
 Less hierarchy
 OKR-like target system
 Salary model (no bonuses)
 Career path
 One product organization: end-to-end thinking
A holistic view helps to understand that local optimization on team level
will only lead to frustration of all involved parties.
© 2019 KUEHNE + NAGEL All rights reserved26
Thank
you
Two Epics Per Week!?
Boris Karl Schlein
Agile Coach
Kühne + Nagel (AG & Co.) KG
HAM GI-AC Customer Facing Order
boris.karl.schlein@kuehne-nagel.com
27
Fin.
Books, Books, Books!
The Human Side of Enterprise
Douglas McGregor
Transformational Leadership
Bernhard M. Bass, Ronald E. Riggio
Leadership: Theory and Practice
Peter G. Northouse
Leadership Without Easy Answers
Ronald A. Heifetz
Leadership Agility
William B. Joiner, Stephen A. Josephs
Leadership and the New Science
Margaret J. Wheatley
Co-Active Leadership: Five Ways to Lead
Karen Kimsey-House, Henry Kimsey-House
The Responsibility Process
Christopher Avery
Denkwerkzeuge der Höchstleister
Gerhard Wohland, Matthias Wiemeyer
“Every managerial act rests on assumptions, generalizations, and hypotheses—that is to say, on theory. […] Another
common way of denying the importance of theory to managerial behavior is to insist that management is an art.”
Douglas McGregor, The Human Side of Enterprise, 1960.
Thinking in Systems: A Primer
Donella H. Meadows
A Fuller View
L. Steven Sieden
Feedback
Jürgen Beetz, Martin Lay
Pragmatics of Human Communication
Paul Watzlawick, Don D. Jackson, Janat Beavin Bavealas
Why We Do What We Do
Edward L. Deci
Flow
Mihaly Csikszentmihalyi
Drive
Daniel H. Pink
The Normal Personality
Steven Reiss
Crossing the Chasm
Geoffrey A. Moore
Good to Great
Jim Collins
The Future of Management
Gary Hamel
How To Lead Self-Managing Teams?
Rini van Solingen
Reinventing Organizations
Frédéric Laloux
Holacracy
Brian J. Robertson
Measure What Matters
John Doerr
Practical Kanban
Klaus Leopold
Actionable Agile Metrics for Predictability
Daniel S. Vacanti
Large-Scale Scrum: More with LeSS
Craig Larman
© 2019 KUEHNE + NAGEL All rights reserved28

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LKCE19 - Boris Karl Schlein - Two Epics per Week?!

  • 1. Two Epics per Week!? Boris Karl Schlein AgileCoach HAMGI-AC Customer Facing
  • 2. TWO EPICS PER WEEK ARE WAY TOO LOW! © 2019 KUEHNE + NAGEL All rights reserved2
  • 4. Potential Dependencies betweenTeams © 2019 KUEHNE + NAGEL All rights reserved4 Potentially, there are dependencies between each team. 2Teams, 1 Dependency 3Teams, 3 Dependencies 4Teams, 6 Dependencies Team Potential Dependency 1Team, 0 Dependencies
  • 5. Dependencies and Simple GraphTheory © 2019 KUEHNE + NAGEL All rights reserved5 Graph theory tells us, that potential dependencies (edges) between teams (vertices) grow exponentially. Vertices V Edges n 1 0 2 1 3 3 4 6 5 10 6 15 7 21 8 28 9 36 10 45 Vertices V Edges n 𝑉 = 𝑛 2 = 𝑖 𝑛−1 𝑖=1 = 𝑛 − 1 𝑛 2 = 1 2 (𝑛2 − 𝑛) 28
  • 6. Adding Resources May Not BeThe Answer © 2019 KUEHNE + NAGEL All rights reserved6 Our throughput does not grow in a linear manner – but our operating costs do! Potential dependencies Idealized throughput growth Actual throughput Impact of dependencies considered – approximation, but aligned to real data Dependencies Teams Assumption: Teams are independent
  • 7. What the CFD isTelling Us Although we added teams, our overall throughput remains constant – per team it sank from 0.53 to 0.39 epics per week. AACT = 71 days W = 32 epics 8 teams 4 epics/team 2019-02-07 Little’s Law AT = W/C = (32/71)*7 = 3.15 0.39 epics per team & week 2018-09-13 Little’s Law AT = W/C = (11/24)*7 = 3.2 0.53 epics per team & week 2018-10-10 The growingWIP started here AACT = 24 days W = 11 epics 6 teams 1.8 epics /team AACT =:ApproximateAverageCycleTime,W =Work in Process, AT :=AverageThroughput (datafrom7thFeb.2019) © 2019 KUEHNE + NAGEL All rights reserved7
  • 8. Component Component Component Component Component Component Component Component Component Component Strong Code Ownership © 2019 KUEHNE + NAGEL All rights reserved8 Our 8 development teams complain a lot about “blockers” from other teams. Vostok Hudson Pacific Como…
  • 9. Our Multi-level Kanban System © 2019 KUEHNE + NAGEL All rights reserved9 Strong code ownership of teams and dependencies visualized based on our work artifacts. Epic X e. g. assigned to Vostok Epic assigned to a single team Story assigned to a single team 1 1..n Story assigned to Vostok Story assigned to Hudson Story assigned to Pacific Story assigned to Como Team Level Klaus Leopold: “Flight Level 1” Coordination Level Klaus Leopold: “Flight Level 2”
  • 10. Ratio of Self-Contained Epics © 2019 KUEHNE + NAGEL All rights reserved10 Red means, that an epic contains at least one story assigned to a team different to the team which owns the epic. (datafrom7thFeb.2019) Epic X e. g. assigned to Vostok Epic assigned to a single team Story assigned to a single team 1 1..n Story assigned to team Vostok Story assigned to team Hudson Story assigned to team Pacific Story assigned to team Como
  • 11. Epic X e. g. assigned to Vostok Story Distribution ofTeams per Epics © 2019 KUEHNE + NAGEL All rights reserved11 A snapshot from January 2019 – it changes depending on the demand our teams are working on. Strong dependencies to Pacific,Toba andVostok Strong dependency toVostok Strong dependencies toOdra – bidirectional! Epic assigned to a single team Story assigned to a single team 1 1..n Story assigned to team Vostok Story assigned to team Hudson Story assigned to team Pacific Story assigned to team Como
  • 12. Active Dependencies Make it Complex © 2019 KUEHNE + NAGEL All rights reserved12 Active dependencies change per demand – worst case scenarios are circular dependencies which increase complexity. Team Potential Dependency Active Dependency Demand A Demand B “Chained” Dependencies “Circular” Dependencies
  • 13. A Little Law Called “Little’s Law” 13 Let’s just apply some standard Kanban know-how to show that we are facing a complex environment. CycleTime Blockers Throughput Task Switches Work in Process © 2019 KUEHNE + NAGEL All rights reserved WaitingTimes 𝑻 = 𝑾 𝑪
  • 14. Perceived Pressure © 2019 KUEHNE + NAGEL All rights reserved14 An easy example how external pressure increases WIP and lowers throughput. Low/moderate perceived pressure High perceived pressure  Dependencies exist and stay constant  WIP stays constant  Busy work: tendency that teams should not idle – push & pull new work items  WIP increases  More dependencies – blockers and waiting times – push & pull new work items (vicious cycle)
  • 15. Yet AnotherVicious Cycle 15 The effects of our actions are often counterintuitive.Thus, focusing on cycle time would be more effective to work on the system. CycleTime Blockers Throughput Task Switches Work in Process © 2019 KUEHNE + NAGEL All rights reserved WaitingTimesPerceived Pressure 𝑻 = 𝑾 𝑪
  • 16. Pressure and the J-Curve Effect © 2019 KUEHNE + NAGEL All rights reserved16 In times of high pressure people avoid to work on the system because people are more risk-avers. Effort/Gain Time New status quo High perceived pressure Negative effects, change resistance Positive effects Outcome
  • 17. Uncovering the Real Problems Kanban is about continuous change and improvement: Limiting the work in process is the start – it generates pain where the real problems are and forces us to identify and handle root causes. © 2019 KUEHNE + NAGEL All rights reserved17
  • 19. Systems Mapping – a Real Life Example © 2019 KUEHNE + NAGEL All rights reserved19 A deep analysis based on observations and real data.
  • 20. Be aware of the Newtonian Mindset Still in 2019, we are mostly influenced by a mindset of linear causalities – even though we are working in complex environments. © 2019 KUEHNE + NAGEL All rights reserved20
  • 21. TheThreeTraps of the Newtonian Mindset Trap of Determinism Mindset of Linear Causalities: If I do A it must result in B. “We must do the one thing and everything will be great!” Trap of Directing People Transactional Leadership. “Do the task as I told you and get the reward! Otherwise you won’t! In the meantime, you will not see me at all.” Trap of Punctuation Leads to finger pointing. “It’s the management’s fault! “ or “It’s the team’s fault!” © 2019 KUEHNE + NAGEL All rights reserved21 Systems thinking helps us to understand complexity by identifying causal loops.
  • 22. Trap of Determinism © 2019 KUEHNE + NAGEL All rights reserved22 Avoid this trap by thinking in short PDCA cycles and use experiments where people are allowed to fail.
  • 23. Trap of Directing People © 2019 KUEHNE + NAGEL All rights reserved23 Transformational leadership on all levels instead of a top-down transactional leadership style.
  • 24. Trap of Punctuation © 2019 KUEHNE + NAGEL All rights reserved24 Start with yourself, rely on The Responsibility ProcessTM. It’s not “either … or”, it’s “and … both”.
  • 25. Something wants to happen. Currently, there is a lot of movement inside KN. © 2019 KUEHNE + NAGEL All rights reserved25
  • 26. Addressing All Levels Team Level (Gemba): Reduce Complexity & Focus on Flow  Smaller user stories (and epics)  Cross-functional feature teams (weaken code ownership)  Increase product management maturity Organizational Level: Enable (Transformational) Leadership  Less hierarchy  OKR-like target system  Salary model (no bonuses)  Career path  One product organization: end-to-end thinking A holistic view helps to understand that local optimization on team level will only lead to frustration of all involved parties. © 2019 KUEHNE + NAGEL All rights reserved26
  • 27. Thank you Two Epics Per Week!? Boris Karl Schlein Agile Coach Kühne + Nagel (AG & Co.) KG HAM GI-AC Customer Facing Order boris.karl.schlein@kuehne-nagel.com 27 Fin.
  • 28. Books, Books, Books! The Human Side of Enterprise Douglas McGregor Transformational Leadership Bernhard M. Bass, Ronald E. Riggio Leadership: Theory and Practice Peter G. Northouse Leadership Without Easy Answers Ronald A. Heifetz Leadership Agility William B. Joiner, Stephen A. Josephs Leadership and the New Science Margaret J. Wheatley Co-Active Leadership: Five Ways to Lead Karen Kimsey-House, Henry Kimsey-House The Responsibility Process Christopher Avery Denkwerkzeuge der Höchstleister Gerhard Wohland, Matthias Wiemeyer “Every managerial act rests on assumptions, generalizations, and hypotheses—that is to say, on theory. […] Another common way of denying the importance of theory to managerial behavior is to insist that management is an art.” Douglas McGregor, The Human Side of Enterprise, 1960. Thinking in Systems: A Primer Donella H. Meadows A Fuller View L. Steven Sieden Feedback Jürgen Beetz, Martin Lay Pragmatics of Human Communication Paul Watzlawick, Don D. Jackson, Janat Beavin Bavealas Why We Do What We Do Edward L. Deci Flow Mihaly Csikszentmihalyi Drive Daniel H. Pink The Normal Personality Steven Reiss Crossing the Chasm Geoffrey A. Moore Good to Great Jim Collins The Future of Management Gary Hamel How To Lead Self-Managing Teams? Rini van Solingen Reinventing Organizations Frédéric Laloux Holacracy Brian J. Robertson Measure What Matters John Doerr Practical Kanban Klaus Leopold Actionable Agile Metrics for Predictability Daniel S. Vacanti Large-Scale Scrum: More with LeSS Craig Larman © 2019 KUEHNE + NAGEL All rights reserved28