This document discusses lean innovation and knowledge-based development. It begins with several quotes highlighting how innovation has changed over time. It then discusses the challenges institutions face in accommodating truly revolutionary changes. The rest of the document discusses lean thinking and knowledge management as it relates to technology development. It emphasizes the importance of respecting people, continuous improvement, and skilled individuals.
2. Knowit Technology Management
Lean Innovation and Knowledge Based Development
- or, what would Albert say?
Pär Hammarström
Senior Mgmt Consultant
Knowit Technology Management
par.hammarstrom@knowit.se
072 202 6277
Presentation to INCOSE Sweden 2013-02-13 @Knowit TM Linköping
3. “We wanted flying cars, instead we got 140 characters.”
- Peter Thiel
…in 1950 an average R&D worker in America contributed
almost seven times more to “total factor productivity”—
essentially, the contribution of technology and innovation to
growth—that an R&D worker in 2000 did.
- Azoulay&Jones
If computers and the internet mattered to the economy—
rather than merely as rich resources for intellectual and
cultural exchange, effect would be seen in the figures. And it
hasn’t been.
- Gordon&Coven
Roughly a century lapsed between the first commercial
deployments of James Watt’s steam engine and steam’s
peak contribution to British growth. Some four decades
separated the critical innovations in electrical engineering
of the 1880s and the broad influence of electrification on
economic growth.
In the end, the main risk to advanced economies may
not be that the pace of innovation is too slow, but that
institutions have become too rigid to accommodate truly
revolutionary changes—which could be a lot more likely
than flying cars.
4. "Our strong investor base offers a
solid foundation for boo.com. The
fact that such international
investors have invested in boo.com
reflects the power of our business
model and the boo.com brand."
Patrik Hedelin, Executive Chairman.
(Press Release, Nov 3 1999)
5. “A business exist to create a customer.”
- Peter F Drucker
Technology Management
7. Sustainable Success
Respect for Continuous
Entrepeneurial Decide as late
people Chief Engineer as possible
Improvement
Team Room &
Flow/
Visual
Cadence
Mgmt
Amplify
Learning
Set-based
X-Team
design
Skilled people
Management applies and teaches lean thinking
Technology Management
Adapted from Larman & Vodde
12. The Ladder of Inference
I take Actions based on my beliefs
I adopt Beliefs about the world
The Reflexive Loop
(our beliefs affect what I draw Conclusions
data we select next time)
I make Assumptions based on the
meanings I added
Observable data
Technology Management
Chris Argyris
13. What do you believe that only you believe?
Technology Management
15. A Different Perspective
Co-ordinating logic
Motivation
Transparency
Perspective
Knowledge transfer
Enacted environment
Contextual environment
Technology Management
Sven Hamrefors
16. Intrinsic Motivation
Self
• Autonomy
Actualization – The desire to be self-
directed
• Mastery
Belongingness
– The urge to get better –
in search of flow
• Purpose
– The aspiration to
Survival contribute to
something bigger than
ourselves
Technology Management
17. Perspectives
+
Conservative Constructive
Reflected experiences
Previous enactment
- Superstitious Novel
- +
Gemba - Go see
Present enactment
18. Directing Factors
Co-ordinating logic
Sensemaking, flow
Create experiences
combining the magic
Transparency
of sw withon every
A PC the power
Connecting
To create a better
desk running
of internet services everyday life for the many
People.
MS sw
across a world of people.
devices
Knowledge transfer
Technology Management
20. "The secret to creativity is knowing how to hide your
sources."
Technology Management
21. Mindfuck
1, Line B is longer than line A
2, They are equally long
3, We don’t know
A
B
Technology Management
22. Mindfuck
1, Line A is in line with line C
2, Line B is in line with line C
3, We don’t know
C
A
B
Technology Management
23. Mindfuck
1, The mid circles are not equally big
2, The mid circles are equally big
3, We don’t know
Technology Management
24. “I Know That I Know Nothing”
Technology Management
25. What Do We Know
Waste
The Tacit Dimension
Personal ->Interpersonal through
dialogue and visualizations
What we know that we What we don’t know that we
know – Known Knowns know – Unknown Knowns
What we know that we don’t What we don’t know that we don’t
know – Known Unknowns know – Unknown Unknowns
Assumptions Ignorance
Complicated Complex
Technical systems Sociotechnical systems
Find the facts Probe – Sense - Respond
Trust that patterns will emerge
Technology Management
27. The Problem is about What You See
Emptiness = ”Nothing” Invisible = ”Something”
Focus on what you know What could be?
Technology Management
28. “Common sense is the collection of prejudices acquired
by age eighteen.”
Technology Management
29. 4 Mental Models of Innovation
Business as usual Let’s fire all the managers
Continuous innovation as the bottom line
80/20
Technology Management
Gary Hamel
30. Linear Model of Innovation
Basic Research -> Applied Research -> Development -> Diffusion
Basic Research -> Applied Research -> Development -> Production -> Marketing&Sales
Market needs-> Development -> Production -> Marketing&Sales
Technology Management
32. The SCRUM Trap
Things that I know
how to build More
of the
Same
?
Things that I
Unknown
know my
Needs
Customers like
? ?
Unknown Technology
Technology Management
33. "If we knew what it was we were doing, it would not be
called research, would it?”
Technology Management
36. Blue Ocean – Red Ocean
Technology Management
W. Chan Kim & Renée Mauborgne
37. The Post Competitive Paradigm
“In order to get to the future first, there is no need to excel competitors trying to get the same prize because
the number of prizes may be the same as the number of runners.”
G. Hamel & C. K. Prahalad
Uniqness
Known Technology
Cost
Value Innovation
Differentiation
New Known
Market Market
Low Cost New Technology
Technology Management
38. Product Performance
The Innovator’s Dilemma
High end demand
Sustaining Innovation
Disruptive Technology
Low end demand
Time
Technology Management Clayton Christenssen
39. Creative Destruction
Uniqness
Known Technology
Disruptive Innovation
New Known
Market Market
Low Cost New Technology
Technology Management
40. Three Distinct Innovation Strategies
Known Technology
1 Apple 70 2,7% 8 P&G 61 2,5%
3 3M 86 5,4% 9 Toyota 6 3,9%
4 GE 32 2,6% Need Seekers Market Readers
7 Toyota 1 4,2%
6 IBM 15 6% 8 P&G 72 2,4%
10 Facebook N/A
New Known
1 Apple 53 2,2% Market Market
3 3M 86 5,3%
5 GE 30 3,2%
9 IBM 17 5,9%
Technology Drivers 2 Google 34 12,8%
10 Amazon 48 6,1%
5 Microsoft 4 14%
7 Samsung 7 5,9%
2 Google 26 13,6%
New Technology
4 Samsung 6 6%
6 Microsoft 5 12,9%
R&D spending is far from proportional to success
Booz&Co: The Global Innovation 1000 – Why Culture is key 2011
Technology Management
Booz&Co: The Global Innovation 1000 – Making Ideas Work 2012
41. Strategy and Culture Alignment is Key
Distinct Goal
Common Goals Advantaged Products
• Superior product performance and Services
• Superior product quality Distinct Culture
Common Culture Need Openess to new ideas
• Strong identification with the customer from customers,
and orientation toward customer Seekers suppliers, competitors
experience and other industries
• Passion and pride for the products and
services offered
Market Technology
Readers Drivers
Distinct Goal
Products customized to
local markets
Distinct Culture
Collaboration across Distinct Goal
functions and Developing low cost products
geographies Distinct Culture
Reverence and respect for
Technology Management tech talent and knowledge
42. Front End Tools Align
Preferred Tools – End-user Insight
• Idea workout sessions
• Social-network data mining
• Focus groups with customers
and end-users
Need
• Direct customer observation Seekers
Market Technology
Readers Drivers
Preferred Tools – Market Insight
• Feedback from customer support
and sales
• Traditional market research Preferred Tools – Tech Foresight
• Seed funding for exploratory • Periodic meetings of technical community
research • Technology road mapping
• External idea scouting and technology
Technology Management • Cross–business unit communities of
practice
43. Culture Eats Strategy for Breakfast
Heavyweight Team Heavyweight Team
Bad
within organization Spinout organization
Process Fit
Lightweight Team Heavyweight Team
within organization Spinout organization
Good
for commercialization
Good Bad
(Sustaining Innovation) (Disruptive Innovation)
Value Fit
Technology Management
Clayton Christensen
44. Startups as a Role Model
Scalable Large
Transition
Startup Company
A startup is the temporary organization
used
to explore a market for a scalable business
model under conditions of great
uncertainty.
The purpose is not to remain a startup.
Failure = failure to transition.
45. 100 is the Magic Number
Technology Management
Scaling Agile @ Spotify with Tribes, Squads, Chapters & Guilds – Henrik Kniberg Crisp
46. The Lean Start-up
• Entrepeneurs are everywhere
– Product Roadmap -> Business Model
– Product Owner - > Entrepeneur
Build
• Validated learning
Idea Product
– Backlog -> To learn list
– On site customer ->
Get out of the building Learn Measure
– Demo -> Perserve or Pivot Data
Technology Management
Eric Ries
47. The Adoption Cycle
Early Majority Late Majority
”Pragmatists” ”Conservatists”
Relative % customers
Early Adopters
”Visionaries”
Innovators Laggards
”Tech entusiasts” ”Skeptics”
Time
Technology Management
Geoffrey Moore
48. Technology First – Needs Later
Transition point
where technology
satisfies basic
needs
Relative % customers
Excess Technology
Most customers not
interested
Required
Performance
Technology Dominates User Experience Dominates
(convenience, reliability, cost...)
Technology is ”good enough” Time
Technology Management
Donald Norman
49. X-Team
Feasible
Technology
User
Viable
Business Desirable
Experience
Technology Management
Tim Brown
50. Customer Insight Driven – Not Customer Driven
Abstract
Insight Ideas
ABDUCTIVE THINKING
Ask why 5 times Describe the benefits
Empathize
Experiment
Analysis Synthesis
Prototype and evolve a minimum
Observe how a job is done
desirable, viable and feasible product
Context Artifacts
Concretete
53. Entrepreneurial Chief Engineer?
“It comes from saying no to 1,000 things to make sure
we don't get on the wrong track or try to do too much.”
- Steve Jobs
Technology Management
54. Experiment!
Build
What Do I need to Learn? Idea Product What do I need to Build?
Learn Measure
Data
How can I Measure that?
Technology Management
57. To Learn List as Strategy
Explore Execute
Problem/ Product/
Scale
Solution Market
Technology/Antropology Minimum Viable Product Product/Business Model
Value Proposition Canvas Business Model Canvas Crossing the chasm
Assumption Feature MVP Validation Result
Technology Management
58. “The only real valuable thing is intuition."
Technology Management
59. Business is Not a Sustainable Success
Expand the Problem Space –
Sport Explore the Wider System
Respect for Continuous
Entrepeneurial Decide as late
people Focus on the Get out of Improvement
Chief Engineer as possible
Jobs to solve You are part of a the office
System – Define
your Role
Team Room &
Flow/
Visual
Cadence
Mgmt
Amplify Diversify
Facilitate People, not your
Dialogue process Learning
Perspective
Set-based
X-Team
design
Design is
T-shaped Skilled people not analysis
Managment applies and teaches lean thinking
Technology Management
60. “I think and think for months and years. Ninety-nine times,
the conclusion is false. The hundred´th time I am right.”
Technology Management