discovery kanban

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Patrick Steyaert, 2016 1 Discovery KANBAN Email: [email protected] Twitter: @PatrickSteyaert @DiscoveryKanban @Okaloa website: www.okaloa.com www.discovery- kanban.com Dublin, May 2016

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Page 1: Discovery Kanban

© Patrick Steyaert, 2016 1

Discovery KANBANEmail: [email protected]

Twitter: @PatrickSteyaert@DiscoveryKanban@Okaloa

website: www.okaloa.comwww.discovery-kanban.com

Dublin, May 2016

Page 2: Discovery Kanban

© Patrick Steyaert, 2016 2

Patrick Steyaert, PhD

Background Academic turned entrepreneur turned coach/trainer/speaker

Applying Kanban in the core and at the edges

Creator of Discovery Kanban (incl. Upstream Kanban), Kanban systems for change, The Kanban Experience

Brickell Key Award Winner 2015

Page 3: Discovery Kanban

© Patrick Steyaert, 2016 3

The system of InnovationAnalysis and synthesis

Picture: http://s117.photobucket.com/The image of a snowmobile was often used by John Boyd to illustrate the role of analysis and synthesis in innovation

Page 4: Discovery Kanban

© Patrick Steyaert, 2016 4

Innovation Kata

WORK = INNOVATION

Everybody innovates all timethe

Page 5: Discovery Kanban

© Patrick Steyaert, 2016 5

Accommodating both exploitation and exploration

Dealing with dualityExploitation

Hierarchy

Risk avoidance

Planning

Central decisions

Exploitation

Risk taking

Self-organization

Experimentation

Local decisions

Page 6: Discovery Kanban

© Patrick Steyaert, 2016 6

Sustainability

“There are many challenges for innovation

labs not only to survive but to yield new

business ideas that truly matter to the

parent company.”– Neo

“The word innovation has become virtually meaningless. “– Brant Cooper

“At best, most of these innovation labs will

produce only tweaks to today’s business

models.” – Saul Kaplan

Page 7: Discovery Kanban

© Patrick Steyaert, 2016 7

Understanding innovationFitness landscapes

Fitness

Search space

Page 8: Discovery Kanban

© Patrick Steyaert, 2016 8

flowUnderstanding innovation

inbound

InventoryEnsure an even flow from start to end!

outbound

Options

Commitments

Page 9: Discovery Kanban

© Patrick Steyaert, 2016 9

changeUnderstanding innovation

Reflective observation

Active experimentation

ORIENT

DECIDEACTOBSERVE

Implicit guidance

DOCHECK

ADJUST

PLAN

Feedback

Unfolding events

Model

Page 10: Discovery Kanban

© Patrick Steyaert, 2016 10

Understanding innovationdirection

Pragmatic leadershipBeing comfortable with the

uncomfortable

Page 11: Discovery Kanban

© Patrick Steyaert, 2016 11

Understanding innovationModern agility IN THE CONTEXT OF innovation

Disruptive innovation

Technology innovation

Efficiency innovation

Sustaining innovation

Page 12: Discovery Kanban

© Patrick Steyaert, 2016 12

Henry ford

Page 13: Discovery Kanban

© Patrick Steyaert, 2016 13

Mount fuji landscapeEFFICIENCY INNOVATION in a

commodities market

Economies of scale

Value entitlement

Fitness

Page 14: Discovery Kanban

© Patrick Steyaert, 2016 14

Flow productionDeliver the highest possible quality at the lowest possible cost

Flow production based on division of labor, interchangeable parts and standard work

Planned change – thinking largely separated from doing

Cost/Benefit, Return on investment (ROI)

Page 15: Discovery Kanban

© Patrick Steyaert, 2016 15

flow production

inbound

Inventory

Production and shipment of finished goods

Reception and storage of incoming parts

Materials planning, standard work and division of labor

outbound

Options

Commitments

Page 16: Discovery Kanban

© Patrick Steyaert, 2016 16

Toyota

Page 17: Discovery Kanban

© Patrick Steyaert, 2016 17

Rugged landscapeSUSTAINING INNOVATION IN A

Segmented marketFitness

Category power

Company power

Page 18: Discovery Kanban

© Patrick Steyaert, 2016 18

continuous flowDeliver what the customer wants when the customer wants it

Continuous flow integrating people in teams and integrating value adding steps in value streams

A cultivated habit of change based on active experimentation (PDCA)

True north – e.g. one-piece flow, zero defects

Page 19: Discovery Kanban

© Patrick Steyaert, 2016 19

From push to pullContinuous flow

inbound

Inventory

Production and shipment against orders

JIT reception and storage of incoming parts

Kanban, work cells, takt-time in value streams

outbound

Options

Commitments

Page 20: Discovery Kanban

© Patrick Steyaert, 2016 20

Cultivated habit of changeActive experimentation

do

check

adjust

plan

We believe that<doing

this>Will achieve

<this outcome>

Hypothesis

Experiment

Results

LearningModel

Page 21: Discovery Kanban

© Patrick Steyaert, 2016 21

digital

Page 22: Discovery Kanban

© Patrick Steyaert, 2016 22

Paradigm shift

New (d

igital)

para

digm

Old (analog) paradigm

VolatilityUncertaintyComplexityAmbiguity

Disruptive innovation

Page 23: Discovery Kanban

© Patrick Steyaert, 2016 23

Evolutionary methods

Page 24: Discovery Kanban

© Patrick Steyaert, 2016 24

Kanban systemsManaging flow in knowledge work

upstream inventory downstreamsuggestionSynthesisanalysis Ready

to commi

t

ready elaborate

Build Test

Synthesizing features and analyzing into

user stories(options)

5 4 65>7 >5 >3

Developing and delivering user

stories (commitments)

Done

Com

mitm

ent p

oint

User storyFeature

FeatureDefect

User story

User storyFeatureidea

Page 25: Discovery Kanban

© Patrick Steyaert, 2016 25

End-to-end flow

inbound

Inventory

Developing and delivering user stories

Synthesizing features and analyzing into user stories

Visualize, Limit WIP, Measure, Feedback, Improve

outbound

Options

Commitments

Page 26: Discovery Kanban

© Patrick Steyaert, 2016 26

The Kanban MethodEvolutionary change

Start where you are now

STEP #1

Implement a safe-to-fail

change

STEP #2

Evaluate fitness against

fitness-for-purpose criteria

if positive reinforce if negative roll back

STEP #3

Page 27: Discovery Kanban

© Patrick Steyaert, 2016 27

Lean startupcreate new products or services under conditions

of extreme uncertaintyIdeas

Build

Product

Measure

Data

Learn

Page 28: Discovery Kanban

© Patrick Steyaert, 2016 28

Kanban systems for Learning

Hypothesis

Build-measure-learnStart Build meas

ureLear

nHypothesis

AbandonMVP

Hypothesis

Learning (PDCA)Plan Do Che

ckAdju

st5 4 65

HypothesisViability

FeasibilityDesirability Abandon

Experiments

Page 29: Discovery Kanban

© Patrick Steyaert, 2016 29

tractionA form of flow

inbound

Inventory Activation into paying customers

Acquisition of unaware users

Identify constraints to traction

outbound

Options

Commitments

Ref. Scaling Lean, Ash Maurya

Page 30: Discovery Kanban

© Patrick Steyaert, 2016 30

Small changes accumulate into *big*

outcomes

Exponential organizations

success

Expected pain

Expected gain

Traditional

Exponential

Page 31: Discovery Kanban

© Patrick Steyaert, 2016 31

Dancing LandscapeExponential innovation

Page 32: Discovery Kanban

© Patrick Steyaert, 2016 32

Dealing with unfolding eventsThe OODA loop

orient

decide

act

observe

Unfolding events

Implicit guidance

Implicit

guidance

Intuitive Rational

Page 33: Discovery Kanban

© Patrick Steyaert, 2016 33

Thriving on change

Rebounding from change

Responding to change

Anticipating change

Thriving on change

“The entrepreneur always searches

for change, responds to it, and

exploits it as an opportunity.”― Peter F. Drucker

Page 34: Discovery Kanban

© Patrick Steyaert, 2016 34

Integrating innovation(s)

Intersecting unmet needs with emergent possibilities

Disruptive innovationTechnology

innovation

Efficiency innovation

Sustaining innovation

Page 35: Discovery Kanban

© Patrick Steyaert, 2016 35

Managing uncertainty

Desirability

Viability

Feasibility

Page 36: Discovery Kanban

© Patrick Steyaert, 2016 36

Building on Dualities

Unaware users

Paying customers Requirements Products

Exploration Exploitation

Ideas

Change

Delivery

Measure

Data

Learn

Ideas

Build

Product

Measure

Data

Learn

Flow

change

Flow

change

Page 37: Discovery Kanban

© Patrick Steyaert, 2016 37

End-to-end flow

inbound

InventoryEnsure an even flow from start to end!

outbound

Options

Commitments

Delivering user storiesActivation to paying customers

Capturing opportunities

Creating user storiesAcquisition of unaware users

Creation of opportunities

Page 38: Discovery Kanban

© Patrick Steyaert, 2016 38

Kanban systems for doingManaging flow

INBOUND inventory OUTBOUNDsuggestionState A State B Ready

to commi

t

ready State C State D

State F

Options

5 4 65>7 >5 >3

Commitment

Done

Com

mitm

ent p

oint

Page 39: Discovery Kanban

© Patrick Steyaert, 2016 39

Double loop learning

Reflective observation

Active experimentation

ORIENT

DECIDEACTOBSERVE

Implicit guidance

DOCHECK

ADJUST

PLAN

Feedback

Unfolding events

Model

ViabilityFeasibility

Desirability

Page 40: Discovery Kanban

© Patrick Steyaert, 2016 40

Kanban systems for learningReflective observation + Active experimentation

Decision making (OODA)

Hypothesis Learning (PDCA)ObserveOrient

Abandon

Decide

Ready to Act

Plan Do Check

Adjust

Observations

5 4 65>5 >6 >3>8

HypothesisViability

FeasibilityDesirability AbandonExperiments

Page 41: Discovery Kanban

© Patrick Steyaert, 2016 41

It starts with a downstream Kanban

downstreamready Elaborate Develo

pTest

5 4 65

User stories, defects, …

Done

Page 42: Discovery Kanban

© Patrick Steyaert, 2016 42

ADDING upstream

upstream inventory downstreamsuggestionSynthesisAnalysis Ready

to commi

t

ready Elab Dev Test

Features

5 4 65>7 >5 >3

User stories, defects, …

Done

Com

mitm

ent p

oint

Page 43: Discovery Kanban

© Patrick Steyaert, 2016 43

Adding Experiments to improve

upstream inventory downstreamideas Synthesisanalysis Ready

to commi

t

ready elaborate

Build Test5 4 65>7 >5 >38

Hypothesis Learning (PDCA)Plan Do Chec

kAdjust

5 4 65Experiments to

improve

User stories

Done

Page 44: Discovery Kanban

© Patrick Steyaert, 2016 44

Adding observationDecision making

(OODA)Hypothe

sisLearning (PDCA)

ObserveOrient Decide

Ready to Act

Plan Do Check

Adjust5 4 65>5 >6>8

Experiments to improve

upstream inventory downstreamideas Synthesisanalysis Ready

to commi

t

ready elaborate

Build Validate5 4 65>7 >5 >38

User stories

obstacles

Page 45: Discovery Kanban

© Patrick Steyaert, 2016 45

REPLACING REQUIREMENTS WITH HYPOTHESES

upstream inventory downstreamideas Synthesisanalysis Ready

to commi

t

ready

elaborate

Build Validate

Decision making (OODA)

Hypothesis

Learning (PDCA)ObserveOrient Deci

deReady to

ActPlan Do Chec

kAdjust

MVPASSUMPTIONSHYPOTHESISBREAKD

OWNReady to TRY

ready BUILD MEASURE

LEARN5 4 65>7 >5 >38

MVP

Page 46: Discovery Kanban

© Patrick Steyaert, 2016 46

Moving into a portfolio level

46

Learn

Grow

Executeopportunities commitments

market observations

market experiments

ugly ducklings and invisible gorilla's

Page 47: Discovery Kanban

© Patrick Steyaert, 2016 47

Discovery Kanban

Kanban systems for innovation and

change

Innovate your system of innovation with discovery kanban

Build on duality between exploration and exploitation

dancing landscape better represents current situation than VUCA

Understand Flow, change, direction

Page 48: Discovery Kanban

© Patrick Steyaert, 2016 48

Thank youStay in touch!

@PatrickSteyaert [email protected]