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KM Think Tank
   Tapping into Fast and Slow Thinking




David Williams                Dr Kate Andrews
Lange Consulting & Software   Knowable
www.langeconsulting.com.au    www.knowlable.com.au
KM Think Tank
Research, analysis
and creative
thinking on a topic
for the good of the
broader
community
Objective

This workshop seeks to:
1. introduce and compare the work by Malcolm
   Gladwell (Blink, The Tipping Pont and Outliers)
   and Daniel Kahneman (Thinking Fast and Slow),
2. explore with the group how knowledge is used
   during rapid cognition, and
3. Generate ideas to improve the decision making
   process for ourselves and our organisations
How well does your organisations
           make decisions?
โ€ข   Understanding?
โ€ข   Demand?
โ€ข   Champions?
โ€ข   Policy?
โ€ข   Procedures?
โ€ข   Tools?
โ€ข   Templates?
โ€ข   SMEs?
Malcolm Gladwell

โ€ข Staff writer with The New Yorker
โ€ข One of Time Magazine's 100 Most Influential
  People in 2005
โ€ข author of four books:
   o The Tipping Point: How Little Things Make a
      Big Difference
   o Blink: The Power of Thinking Without
      Thinking
   o Outliers: The Story of Success
   o What the Dog Saw
Blink: The Power of Thinking Without Thinking
โ€ข   Rapid cognition, the kind of thinking that happens
    in a blink of an eye.
โ€ข   Those instant conclusions that we reach are really
    powerful and really important and, occasionally,
    really good.
โ€ข   Not intuition โ€“ those emotional reactions, gut
    feelings, thoughts and impressions that don't
    seem entirely rational.
โ€ข   When are snap judgments good and when are
    they not?
โ€ข   What kinds of things can we do to make our
    powers of rapid cognition better?
Thin Slicing
Daniel Kahneman
โ€ข 1979 paper with Amos Tversky, on why we
  make "wrong" decisions.
โ€ข prospect theory of economic risk
โ€ข how most real people, consistently, make a
  less-rational choice.
โ€ข Established the field of behavioural
  economics
โ€ข Awarded the Nobel Memorial prize in 2002
Prospect theory
People have an irrational tendency to be less
willing to gamble with profits than with losses.
This means selling quickly when we earn profits
but not selling if we are running losses
Thinking, Fast and Slow
System 1 is fast, instinctive and emotional
System 2 is slower, more deliberative, and more
logical

There are cognitive biases associated with each
type
Gary A. Klein
o Ph.D. in Experimental Psychology
o Assistant Professor of Psychology at Oakland
  University
o Research psychologist for the U.S. Air Force
o Senior Scientist at MacroCognition
 โ€ข Naturalistic Decision Making framework
 โ€ข Recognition-Primed Decision (RPD) making
Recognition-Primed Decision (RPD)
o Variation 1 - situation recognized as typical, act
o Variation 2 - unknown situation, model
  options
o Variation 3 - proper course of action unknown.
  Conduct mental trial and error simulation and
  apply the first course of action which appears
  appropriate to the situation.
Thinking Fast
Rapid Cognition Thinking
System 1 Thinking
Naturalistic decision making/Recognition Primed Decision

o   Thinking with the subconscious
o   Uses Intuition and based on โ€˜patternsโ€™
o   Multiple decisions, multiple inputs, multiple options
o   Effortless
o   Dynamic
o   Fast
o   Processes automatically
o   Emotive
o   Decisive
o   Can be primed or misled
Priming to influence rapid cognition
Thinking Slow
System 2 thinking
โ€ข   Thinking with the conscious part of our brain
โ€ข   Uses logic and reasoning
โ€ข   One issue at a time
โ€ข   Requires effort and is tiring
โ€ข   Slow and deliberate
โ€ข   Follows rules and processes
โ€ข   Explores possibilities and probabilities
โ€ข   Less decisive
โ€ข   Invites compromise and is risk averse
Categories of decisions
Subconscious decisions   System 1 decides
                         System 2 agrees

Anchored decisions       System 1 sets the agenda
                         System 2 thinks about it

Rational decisions       No input from System 1
                         System 2 is on its own

Cognitive dissonance     Input from system 1
                         overruled
When can we trust System 1?
Successful rapid-cognition judgement involves
pattern recognition. This requires:
โ€ข an environment with sufficient statistical
   regularity for patterns to exist; and
โ€ข an opportunity to learn these regularities
   through prolonged practice
Intuition is reliable in sports, medicine, firefighting,
warfighting (complexity)
Intuition is not reliable in the absence of stable
regularities i.e. stock picking, political forecasts
(chaos)
System 1 vs System 2

A bat and ball together $1.10

If the bat costs $1.00 more than the ball,
how much does the ball cost?
Why Good Leaders Make Bad Decisions
 โ€ข make decisions largely through unconscious
     pattern recognition and emotional tagging.
 โ€ข can be distorted by self-interest, emotional
     attachments, or misleading memories.
 Need to find systematic ways to recognize the
 sources of bias and then design safeguards that
 introduce more analysis, greater debate, or
 stronger governance.
                          Campbell and Whitehead
The Warren Harding Error:
Why we fall for tall, dark handsome men
Why do we make bad decisions?
Bad Business Decisions
โ€ข IBM pays Microsoft a one-off fee to develop PC-
  DOS without the IP
โ€ข Western Union knocks back Bellโ€™s telephone
  โ€œWhat use could this company make of an
  electrical toy?โ€
โ€ข Decca reject the Beatles
โ€ข Henry Ford refuses to update the Model T
โ€ข Ross Perot knocks back an offer to buy Microsoft
  for $40 million 1979
โ€ข Wang tries to develop itโ€™s own OS
โ€ข NBC turns down the Cosby Show
Good Decisions
โ€ข Theodore Roosevelt funds digging of the
  Panama Canal
โ€ข Packer sells Channel 9 to Bond and buys it
  back for 300m less
โ€ข Gen. Attaturk converts Turkey to Greek
  alphabet
โ€ข Steve Jobs returns to Apple
Decision making in the Military
o Tactical



o Operational



o Strategic
Political
     Bad military strategic decisions
o   France invades Russia
o   Germany invades Russia
o   Japan bombs Pearl Harbour
o   Bay of Pigs Invasion
o   US invades Vietnam
o   Russia invades Afghanistan
o   Argentina invades Falkland Islands
o   Iraq invades Kuwait
o   Gulf War 2 โ€“ US invades Iraq
o   NATO+ invades Afghanistan
Decision theory
o a body of knowledge and related analytical techniques
  designed to help a decision maker choose among a set
  of alternatives in light of their possible consequences.
o Decision theory can apply to conditions of certainty,
  risk, or uncertainty.
o Decisions under certainty, preferences are simulated by
  a scoring single-attribute or multi-attributes to rank the
  alternatives.
o Decisions for risk conditions is based on the concept of
  utility for given consequences and probabilities.
o Decisions under uncertainty can use game theory or
  simulation
Types Of Decision Making
      Environments (Decision theory)
o   Type 1: Decision Making under Certainty. Decision maker know
    for sure (that is, with certainty) outcome or consequence of every
    decision alternative.
o   Type 2: Decision Making under Uncertainty. Decision maker has
    no information at all about various outcomes or states of nature.
     o The Expected Payoff (ER) rule dictates that the action with the
         highest expected payoff should be chosen
     o The Expected Loss (EL) rule dictates that the action with the
         smallest expected loss should be chosen

o   Type 3: Decision Making under Risk.     Decision maker has
    some knowledge regarding probability of occurrence of each
    outcome or state of nature.
Decision Support Tools
                                                                    o   Manufacturing Resource Planning (MRPII)
o   Affinity Charting                                               o   Marketing, 4Ps of
o   Analytical Hierarchy Process                                    o   Materials Requirements Planning (MRP)
o   Balanced Scorecard (Kaplan and Norton)                          o   Matrices
o   Benchmarking                                                    o   Matrix 2x2
o   Boston Plot (see also Product life cycle model below)           o   Media for Communication
o   Brainstorming                                                   o   Mintzberg's 5 Ps for Strategy
o   Capabilities and Competences                                    o   P-R
o   Capability and Maturity - Hayes and Wheelwright's Four Stages   o   Pareto Principle
o   Cause and Effect Diagram, Fishbone, Ishikawa Diagram            o   Polar charts, Radar charts
o   Check Sheets and Check Lists                                    o   Porter's 5 Forces
o   Clustering Processes                                            o   Porter's Generic Competitive Strategies (ways of competing)
o   Conflict Analysis                                               o   Porter's Value Chain
o   Control Charts                                                  o   4 Ps of marketing
o   Corporate Strategy                                              o   Product Life Cycle (See Boston Plot above)
o   Cost / Benefit / Risk Analysis                                  o   Programme Evaluation and Review Technique (PERT)
o   Criteria Rating Form, Weighted Ranking                          o   Quality Framework
o   Critical Path Analysis (CPA, CPM)                               o   Quality Function Deployment (QFD)
o   Customer Surveys and Interviews                                 o   Quality Organisations and awards
o   D-F                                                             o   Quality, Time, Cost & Flexibility
o   Data Sources (including links to some www sources)              o   Quality - TQM Tools
o   Decision Trees                                                  o   Quantitative Decision Making
o   Deming Cycle (Plan, do, check, act)                             o   Robustness Analysis
o   Deming's 14 points                                              o   S-U
o   Drawing Packages                                                o   Sensitivity Analysis
o   Finite Capacity Scheduling                                      o   Scatter Plots
o   Flexibility Framework                                           o   Strategic Options Development and Analysis (SODA)
o   Flow Charts                                                     o   Soft Systems Methodology
o   Force field Analysis                                            o   Spreadsheets and databases
o   From/to Chart                                                   o   Statistical Process Control
o   G-I                                                             o   Statistical Software
o   Gap Analysis                                                    o   Strategic Assessment Model
o   Graphs, Gantt, Histograms and Bar charts                        o   Strategic Assumptions Surfacing and Testing
o   Hewlett-Packard Return Map                                      o   Strategic Choice Approach
o   Histogram or Bar Graph                                          o   SWOT (Strengths, Weaknesses, Opportunities, Threats)
o   Importance / Performance Matrix                                 o   Time Framework
o   Innovation Funnel                                               o   TQM (Total Quality Management) Tools
o   J-L                                                             o   Trade-off Models
o   JIT (Just-In-Time)                                              o   V-Z
o   Kanban                                                          o   Value Chain (Porter's)
o   M-O                                                             o   Vroom's expectancy theory
o   Manufacturing Decision Areas
How the decision models overlay on the Cynefin model
Decision Making under                              Decision Making under
Risk                                               Certainty
                         Type 2 decision making    Multiple Attribute
 RPD V3                                                 RPD V2
                                                      Analyze
Game theory




                                                   Decision Making under
Decision Making under                              Certainty
Uncertainty                                        Single Attribute
Gut feeling / instinct
                          Type 1 decision making
                                                    Compare
                                                     RPD V1
Initial observations
o   Never go against your gut instinct
o   Reflect on what is driving your decisions
o   Look outside the box to expand your options
o   Never let generalists (or politicians) make
    rapid-cognition decisions in areas where they
    are not experts
Activity
What are the barriers
to good decision
making?
What environmental
conditions would be
conducive to good
decision making?
What are the
attributes of a
good decision
maker?
Using Organisational Zoo Cards
What enablers could be
put in place to enhance
good decision making?
Should decision
making fit into a
KM framework?
Where to from here?
Collaborative creation of a paper on how to
make good decisions?
Bibliography
โ€ข   Daniel Kahneman http://www.princeton.edu/~kahneman/index.html
โ€ข   Malcolm Gladwell http://www.gladwell.com/bio.html
โ€ข   Gary Klein http://en.wikipedia.org/wiki/Gary_A._Klein
โ€ข   Decision Theory http://pespmc1.vub.ac.be/ASC/DECISI_THEOR.html
โ€ข   Modelling and Decision Support Tools http://www2.ifm.eng.cam.ac.uk/dstools/
โ€ข   Why Good Leaders Make Bad Decisions by Andrew Campbell, Jo
    Whitehead, http://hbr.org/2009/02/why-good-leaders-make-bad-decisions/ar/1
โ€ข   Two system Thinking
    http://timreidpartnership.com/Site/An_introduction_to_2_system_thinking.html
โ€ข   The Power of Intuition: How to Use Your Gut Feelings to Make Better Decisions at
    Work by Gary Klein http://www.amazon.com/s?search-alias=stripbooks&field-
    isbn=0385502893
โ€ข   Sources of Power: How People Make Decisions by Gary Klein
    http://www.amazon.com/Sources-Power-People-Make-
    Decisions/dp/0262611465/ref=pd_rhf_se_p_t_1

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Williams thinking fast and slow

  • 1. KM Think Tank Tapping into Fast and Slow Thinking David Williams Dr Kate Andrews Lange Consulting & Software Knowable www.langeconsulting.com.au www.knowlable.com.au
  • 2. KM Think Tank Research, analysis and creative thinking on a topic for the good of the broader community
  • 3. Objective This workshop seeks to: 1. introduce and compare the work by Malcolm Gladwell (Blink, The Tipping Pont and Outliers) and Daniel Kahneman (Thinking Fast and Slow), 2. explore with the group how knowledge is used during rapid cognition, and 3. Generate ideas to improve the decision making process for ourselves and our organisations
  • 4. How well does your organisations make decisions? โ€ข Understanding? โ€ข Demand? โ€ข Champions? โ€ข Policy? โ€ข Procedures? โ€ข Tools? โ€ข Templates? โ€ข SMEs?
  • 5. Malcolm Gladwell โ€ข Staff writer with The New Yorker โ€ข One of Time Magazine's 100 Most Influential People in 2005 โ€ข author of four books: o The Tipping Point: How Little Things Make a Big Difference o Blink: The Power of Thinking Without Thinking o Outliers: The Story of Success o What the Dog Saw
  • 6. Blink: The Power of Thinking Without Thinking โ€ข Rapid cognition, the kind of thinking that happens in a blink of an eye. โ€ข Those instant conclusions that we reach are really powerful and really important and, occasionally, really good. โ€ข Not intuition โ€“ those emotional reactions, gut feelings, thoughts and impressions that don't seem entirely rational. โ€ข When are snap judgments good and when are they not? โ€ข What kinds of things can we do to make our powers of rapid cognition better?
  • 8. Daniel Kahneman โ€ข 1979 paper with Amos Tversky, on why we make "wrong" decisions. โ€ข prospect theory of economic risk โ€ข how most real people, consistently, make a less-rational choice. โ€ข Established the field of behavioural economics โ€ข Awarded the Nobel Memorial prize in 2002
  • 9. Prospect theory People have an irrational tendency to be less willing to gamble with profits than with losses. This means selling quickly when we earn profits but not selling if we are running losses
  • 10. Thinking, Fast and Slow System 1 is fast, instinctive and emotional System 2 is slower, more deliberative, and more logical There are cognitive biases associated with each type
  • 11. Gary A. Klein o Ph.D. in Experimental Psychology o Assistant Professor of Psychology at Oakland University o Research psychologist for the U.S. Air Force o Senior Scientist at MacroCognition โ€ข Naturalistic Decision Making framework โ€ข Recognition-Primed Decision (RPD) making
  • 12. Recognition-Primed Decision (RPD) o Variation 1 - situation recognized as typical, act o Variation 2 - unknown situation, model options o Variation 3 - proper course of action unknown. Conduct mental trial and error simulation and apply the first course of action which appears appropriate to the situation.
  • 13. Thinking Fast Rapid Cognition Thinking System 1 Thinking Naturalistic decision making/Recognition Primed Decision o Thinking with the subconscious o Uses Intuition and based on โ€˜patternsโ€™ o Multiple decisions, multiple inputs, multiple options o Effortless o Dynamic o Fast o Processes automatically o Emotive o Decisive o Can be primed or misled
  • 14. Priming to influence rapid cognition
  • 15. Thinking Slow System 2 thinking โ€ข Thinking with the conscious part of our brain โ€ข Uses logic and reasoning โ€ข One issue at a time โ€ข Requires effort and is tiring โ€ข Slow and deliberate โ€ข Follows rules and processes โ€ข Explores possibilities and probabilities โ€ข Less decisive โ€ข Invites compromise and is risk averse
  • 16. Categories of decisions Subconscious decisions System 1 decides System 2 agrees Anchored decisions System 1 sets the agenda System 2 thinks about it Rational decisions No input from System 1 System 2 is on its own Cognitive dissonance Input from system 1 overruled
  • 17. When can we trust System 1? Successful rapid-cognition judgement involves pattern recognition. This requires: โ€ข an environment with sufficient statistical regularity for patterns to exist; and โ€ข an opportunity to learn these regularities through prolonged practice Intuition is reliable in sports, medicine, firefighting, warfighting (complexity) Intuition is not reliable in the absence of stable regularities i.e. stock picking, political forecasts (chaos)
  • 18. System 1 vs System 2 A bat and ball together $1.10 If the bat costs $1.00 more than the ball, how much does the ball cost?
  • 19. Why Good Leaders Make Bad Decisions โ€ข make decisions largely through unconscious pattern recognition and emotional tagging. โ€ข can be distorted by self-interest, emotional attachments, or misleading memories. Need to find systematic ways to recognize the sources of bias and then design safeguards that introduce more analysis, greater debate, or stronger governance. Campbell and Whitehead
  • 20. The Warren Harding Error: Why we fall for tall, dark handsome men
  • 21. Why do we make bad decisions?
  • 22.
  • 23. Bad Business Decisions โ€ข IBM pays Microsoft a one-off fee to develop PC- DOS without the IP โ€ข Western Union knocks back Bellโ€™s telephone โ€œWhat use could this company make of an electrical toy?โ€ โ€ข Decca reject the Beatles โ€ข Henry Ford refuses to update the Model T โ€ข Ross Perot knocks back an offer to buy Microsoft for $40 million 1979 โ€ข Wang tries to develop itโ€™s own OS โ€ข NBC turns down the Cosby Show
  • 24. Good Decisions โ€ข Theodore Roosevelt funds digging of the Panama Canal โ€ข Packer sells Channel 9 to Bond and buys it back for 300m less โ€ข Gen. Attaturk converts Turkey to Greek alphabet โ€ข Steve Jobs returns to Apple
  • 25. Decision making in the Military o Tactical o Operational o Strategic
  • 26. Political Bad military strategic decisions o France invades Russia o Germany invades Russia o Japan bombs Pearl Harbour o Bay of Pigs Invasion o US invades Vietnam o Russia invades Afghanistan o Argentina invades Falkland Islands o Iraq invades Kuwait o Gulf War 2 โ€“ US invades Iraq o NATO+ invades Afghanistan
  • 27.
  • 28.
  • 29. Decision theory o a body of knowledge and related analytical techniques designed to help a decision maker choose among a set of alternatives in light of their possible consequences. o Decision theory can apply to conditions of certainty, risk, or uncertainty. o Decisions under certainty, preferences are simulated by a scoring single-attribute or multi-attributes to rank the alternatives. o Decisions for risk conditions is based on the concept of utility for given consequences and probabilities. o Decisions under uncertainty can use game theory or simulation
  • 30. Types Of Decision Making Environments (Decision theory) o Type 1: Decision Making under Certainty. Decision maker know for sure (that is, with certainty) outcome or consequence of every decision alternative. o Type 2: Decision Making under Uncertainty. Decision maker has no information at all about various outcomes or states of nature. o The Expected Payoff (ER) rule dictates that the action with the highest expected payoff should be chosen o The Expected Loss (EL) rule dictates that the action with the smallest expected loss should be chosen o Type 3: Decision Making under Risk. Decision maker has some knowledge regarding probability of occurrence of each outcome or state of nature.
  • 31. Decision Support Tools o Manufacturing Resource Planning (MRPII) o Affinity Charting o Marketing, 4Ps of o Analytical Hierarchy Process o Materials Requirements Planning (MRP) o Balanced Scorecard (Kaplan and Norton) o Matrices o Benchmarking o Matrix 2x2 o Boston Plot (see also Product life cycle model below) o Media for Communication o Brainstorming o Mintzberg's 5 Ps for Strategy o Capabilities and Competences o P-R o Capability and Maturity - Hayes and Wheelwright's Four Stages o Pareto Principle o Cause and Effect Diagram, Fishbone, Ishikawa Diagram o Polar charts, Radar charts o Check Sheets and Check Lists o Porter's 5 Forces o Clustering Processes o Porter's Generic Competitive Strategies (ways of competing) o Conflict Analysis o Porter's Value Chain o Control Charts o 4 Ps of marketing o Corporate Strategy o Product Life Cycle (See Boston Plot above) o Cost / Benefit / Risk Analysis o Programme Evaluation and Review Technique (PERT) o Criteria Rating Form, Weighted Ranking o Quality Framework o Critical Path Analysis (CPA, CPM) o Quality Function Deployment (QFD) o Customer Surveys and Interviews o Quality Organisations and awards o D-F o Quality, Time, Cost & Flexibility o Data Sources (including links to some www sources) o Quality - TQM Tools o Decision Trees o Quantitative Decision Making o Deming Cycle (Plan, do, check, act) o Robustness Analysis o Deming's 14 points o S-U o Drawing Packages o Sensitivity Analysis o Finite Capacity Scheduling o Scatter Plots o Flexibility Framework o Strategic Options Development and Analysis (SODA) o Flow Charts o Soft Systems Methodology o Force field Analysis o Spreadsheets and databases o From/to Chart o Statistical Process Control o G-I o Statistical Software o Gap Analysis o Strategic Assessment Model o Graphs, Gantt, Histograms and Bar charts o Strategic Assumptions Surfacing and Testing o Hewlett-Packard Return Map o Strategic Choice Approach o Histogram or Bar Graph o SWOT (Strengths, Weaknesses, Opportunities, Threats) o Importance / Performance Matrix o Time Framework o Innovation Funnel o TQM (Total Quality Management) Tools o J-L o Trade-off Models o JIT (Just-In-Time) o V-Z o Kanban o Value Chain (Porter's) o M-O o Vroom's expectancy theory o Manufacturing Decision Areas
  • 32. How the decision models overlay on the Cynefin model Decision Making under Decision Making under Risk Certainty Type 2 decision making Multiple Attribute RPD V3 RPD V2 Analyze Game theory Decision Making under Decision Making under Certainty Uncertainty Single Attribute Gut feeling / instinct Type 1 decision making Compare RPD V1
  • 33. Initial observations o Never go against your gut instinct o Reflect on what is driving your decisions o Look outside the box to expand your options o Never let generalists (or politicians) make rapid-cognition decisions in areas where they are not experts
  • 35. What are the barriers to good decision making?
  • 36. What environmental conditions would be conducive to good decision making?
  • 37. What are the attributes of a good decision maker? Using Organisational Zoo Cards
  • 38. What enablers could be put in place to enhance good decision making?
  • 39. Should decision making fit into a KM framework?
  • 40.
  • 41. Where to from here? Collaborative creation of a paper on how to make good decisions?
  • 42. Bibliography โ€ข Daniel Kahneman http://www.princeton.edu/~kahneman/index.html โ€ข Malcolm Gladwell http://www.gladwell.com/bio.html โ€ข Gary Klein http://en.wikipedia.org/wiki/Gary_A._Klein โ€ข Decision Theory http://pespmc1.vub.ac.be/ASC/DECISI_THEOR.html โ€ข Modelling and Decision Support Tools http://www2.ifm.eng.cam.ac.uk/dstools/ โ€ข Why Good Leaders Make Bad Decisions by Andrew Campbell, Jo Whitehead, http://hbr.org/2009/02/why-good-leaders-make-bad-decisions/ar/1 โ€ข Two system Thinking http://timreidpartnership.com/Site/An_introduction_to_2_system_thinking.html โ€ข The Power of Intuition: How to Use Your Gut Feelings to Make Better Decisions at Work by Gary Klein http://www.amazon.com/s?search-alias=stripbooks&field- isbn=0385502893 โ€ข Sources of Power: How People Make Decisions by Gary Klein http://www.amazon.com/Sources-Power-People-Make- Decisions/dp/0262611465/ref=pd_rhf_se_p_t_1