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Kanban
For Software Development
TJ Gokcen
Chief Software Architect at codebyts

codebyts
Agenda
•
•
•
•

A Brief History
Basic Concepts and Visualization
Kanban in Action: Software Development Scenarios
Kaizen and Continuous Improvement Culture

codebyts
codebyts

TJ Gokcen
•
•
•
•

Chief Software Architect at codebyts
Kanban, Kaizen advocate
@tjgokcen @codebyts
www.codebyts.com

codebyts
A Brief History – World War II

codebyts
USA - Japan.

codebyts
William Edwards Deming (1900 – 1993)

codebyts
Toyota Production System: Just-in-Time and Autonomation

codebyts
Toyota Production System using Kanban

codebyts
Eliminate Chaos by Finding Bottlenecks

codebyts
•

93% communication is non-verbal

•

Images : Simultaneously deciphered

•

Language: Linear decoding

•

Children recognize objects before they
can speak

•

Visuals are processed 60,000 times
faster than text

© www.visual-learners.com

Visualize: Why does it matter?

codebyts
Waste is

• anything that does not improve the quality of the
product
• does not reduce the amount of time and effort it
takes to produce the product
• does not provide real value to the customer

See Waste, Eliminate Waste

codebyts
Bugs creeping into production. Leads to low quality customer perception, the longer it takes to
attend to it, the worse.
Waste: Defective Production

codebyts
Writing more code or functionality than required.
Waste: Overproduction

codebyts
Delays in starting a project, delays in staffing, delays due to excessive requirements
documentation, reviews, approvals, testing and deployment.
Waste: Waiting

codebyts
Take advantage of your team’s skillset.
Waste: Neglected Talent

codebyts
Task switching
Waste: Transportation

codebyts
Think of your favourite person or letters from A-J, and numbers 1-10
With the timer ready
1. Write each word on separate lines. Time it.
2. Write each word letter by letter on separate lines, switching
from word to word.
letters and numbers would be
ABCDEFGHIJ
1 2 3 4 5 6 7 8 9 10
In this case, first A, then 1, then B, then 2 and so on…

Context Switching Game

codebyts
With letters and numbers:
90
80
70

60
50
40

30
20
10

0
to 10

to 20
Linear

3rd Project - to 10

3rd Project - to 20

Context Switch

Context Switching Game: Compare Your Times

codebyts
Functions and/or methods (“dead code”) that are not being referenced or used by any other
function or method.
Waste: Inventory

codebyts
Finding information. From business consultant, to sales department, to project manager or
owner.
Waste: Motion

codebyts
Manual deployment vs. continuous delivery, manual testing vs. automated testing etc.
Waste: Excessive Processing

Source: Crisp Blog

codebyts
Defective Production

Overproduction

Waiting

Neglected Talent

Transportation

Inventory

Motion

Excessive Processing

DOWNTIME
Waste: Downtime

codebyts
In order to be able to write down your process, you need to go to the Gemba.
Visualize: Gemba (workplace)

codebyts
Kanban Board

codebyts
Visualize: Kanban Board

codebyts
Physical Kanban Board

codebyts
Visualize: Kanban Board

codebyts
Backlog

Analyze
doing

Dev
done

doing

Test

Ready

Production

done

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Initial Stage
Kanban In Practice: Perfect World

codebyts
Backlog

Analyze
doing

Dev
done

doing

Test

Ready

Production

done

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Problem: How do we know what do to and how much to do?
Kanban In Practice: Perfect World

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Ready

Production

done

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Work In Progress Limits
Kanban In Practice: Perfect World

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Ready

Production

done

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Kanban In Practice: Perfect World

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Ready

Production

done

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Workflow
Kanban In Practice: Perfect World

codebyts
Backlog

Analyze (2)

Dev (3)

Test (2)

dfwgwrgrgwrgg

Production

done

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dfwgwrgrgwrgg

done

doing

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doing

Ready

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Seeing what’s about to happen, before they happen
Kanban In Practice: Seeing is Believing

codebyts
Backlog

Analyze (2)
doing

dfwgwrgrgwrgg

done

Dev (3)
doing

Test (2)

Ready

Production

done

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Seeing what’s about to happen, before they happen
Kanban In Practice: Seeing is Believing

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Ready

Production

done

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Kanban In Practice: Seeing is Believing

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

dfwgwrgrgwrgg

dfwgwrgrgwrgg

Test (2)

Ready

Production

done

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Let’s see where the team’s at.
Kanban In Practice: Our Team

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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BUG

Change
Request

Maint.
Other Items to work on.
Kanban In Practice: Bugs. Maintenance Issues. Change Requests. It’s
Feature

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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URGENT

Things that should work but don’t. They need to be treated as “urgent”.
Kanban In Practice: BUGS

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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Another approach is to block the line.
Kanban In Practice: BUGS

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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Kanban In Practice: Diminished Workflow = Bottleneck

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

dfwgwrgrgwrgg

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Production

done

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Ready

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URGENT

Supply > Throughput (Capacity)
Kanban In Practice: Team Work

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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URGENT

Kanban In Practice: VIP

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

dfwgwrgrgwrgg

dfwgwrgrgwrgg

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Ready

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Policy: Feature over Maintenance

URGENT

Make policies that work for your team. Make your own rules.
Kanban In Practice: Policy

codebyts
Backlog

Analyze (2)
doing

done

Dev (3)
doing

Test (2)

Production

done

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Ready

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Your wait time from here is
24 days
URGENT

Measure Every Step For Better Predictability
Kanban In Practice: Disneyland Wait Times

codebyts
- 24 stories completed in 3 weeks
- 8 stories per week
- 160 stories in backlog
- 160 / 8 = 20 weeks to complete (+/-)
- 3 weeks is 15 working days
- I have 5 developers, that is 75 developer days
- 75 / 24 = 3.125 avg. developer days per story
- This is the load factor in XP

Kanban Metrics

codebyts
TFS: 32897

18-11-2013

As a…
I want to…

A: 04-11-2013
D: 10-11-2013
Kanban In Practice: What’s In A Card?

codebyts
- Daily standups in front of Kanban Board
- Reflect every * - Kaizen
- Demonstrate every *
- Collaboration happens all the time,
otherwise line stops

* Determined by the team
Kanban for Software Development

codebyts
Kaizen

codebyts
Kaizen: Process should never be the bottleneck

codebyts
Planning

Features
doing

done

Development
doing

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Legal

Marketing

Released

done

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Kaizen: Kanban Board for Upstream and Downstream – The Big Picture

codebyts
Kaizen: Fear of Change

codebyts
Kaizen: No Suggestion Box

codebyts
20
18
16
14
12
10
18
8
6
4
2
0

0.166666667
Suggestions Per Year
US(West)

Japan

Kaizen: Employee Suggestions Per Year

codebyts
120

100

80

60
108
40

20

0

1
Suggestions Per 6 Years
US(West)

Japan

Kaizen: Employee Suggestions Per 6 Years (so the West reaches 1 suggestion)

codebyts
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
US(West)

Japan

Accepted

Declined

Kaizen: Suggestion Acceptance Rate

codebyts
On Time Arrivals
- 7th Place in 1994
- 1st Place in 1995

Kaizen: Case Study of Improvements: Management Driven

codebyts
Kentucky, US Plant

- Bolt bin pricing
- Local store
vs.
- Toyota Purchasing

Kaizen: Case Study of Improvements: Culture

codebyts
Quality First: Toyota’s Andon Cord

codebyts
Quality First: Toyota’s Andon Cord

codebyts
- 25,000,000 units
- 80 defective
- That is Six Sigma (6.01)

- 3,000,000 deliveries / day
- 99.9% = 2,997,000
- 3,000 people not getting their
packages
Mental Block: Success rate is 99.9%

codebyts
Mental Block: Don’t Fix It If It Ain’t Broken

codebyts
Mental Block: No Reports Does Not Mean No Mistakes

codebyts
Humans Will Make Mistakes

© Simpsons Fox Network

codebyts
Jeff Bezos, of Amazon:

“I encourage our

employees to go down blind alleys and

experiment. If we can get processes decentralized so that we
can do a lot of experiments without it being very costly, we’ll get a lot
more innovation.”

Policy For Dealing With Mistakes

codebyts
Shared Responsibility

codebyts
Too Big Too Soon

codebyts
Policy For The Organisation: What is Our Goal For This Year?

codebyts
Kaizen: Company Genes

codebyts
Thank You

codebyts

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