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Decisions Over Decimals. Striking the Balance between Intuition and Information. Edition No. 1

  • Book

  • 256 Pages
  • September 2022
  • John Wiley and Sons Ltd
  • ID: 5841656
Become a confident leader and use data, experience, and intuition to drive your decisions

Agile decision making is imperative as you lead in a data-driven world. Amid streams of data and countless meetings, we make hasty decisions, slow decisions, and often no decisions. Uniquely bridging theory and practice, Decisions Over Decimals breaks this pattern by uniting data intelligence with human judgment to get to action - a sharp approach the authors refer to as Quantitative Intuition (QI). QI raises the power of thinking beyond big data without neglecting it and chasing the perfect decision while appreciating that such a thing can never really exist.

Successful decision-makers are fierce interrogators. They square critical thinking with open-mindedness by blending information, intuition, and experience. Balancing these elements is at the heart of Decisions Over Decimals.

This book is not only designed to be read - but frequently referenced - as you face innumerable decision moments. It is the hands-on manual for confident, accurate decision-making you've been looking for; the rare resource that provides a set of pragmatic leadership tools to accelerate:

  • Effectively framing the problem for stakeholders
  • Synthesizing intelligence from incomplete information
  • Delivering decisions that stick

Strike the right balance between information and intuition and lead the smarter way with the real-world guidance found in Decisions Over Decimals.

Table of Contents

Foreword xi

Preface xiii

Prologue: The Certainty Myth xix

Quantitative Intuition (QI)™ xx

Why Quantitative Intuition™ xxviii

Biases from Working Intuitively xxxiii

Biases from Working with Data xxxvi

Chapter 1 Asking Powerful Questions 1

Road to Powerful Questioning 3

Precision Questioning 3

The Power of Precision Questions 5

Building an Inquisitive Team 6

The Smartest Person in the Room 10

Key Learnings - Chapter 1 13

Chapter 2 Framing the Problem 15

IWIK™: A Tool for Reasoning 17

The IWIK™ Process 18

Framing the Decision 30

Key Learnings - Chapter 2 31

Chapter 3 Working Backward to Move Forward 33

Defining the Problem 35

Harnessing Inside of-the-Box Thinking 42

Taking the Road Less Traveled 45

Key Learnings - Chapter 3 48

Chapter 4 Learning to Become a Fierce Data Interrogator 49

Assessing the Data and Its Reliability 51

Putting the Data in Context 64

Pressure Testing Your Analysis 66

Key Learnings - Chapter 4 71

Chapter 5 Developing Intuition for Numbers 73

The Power of Approximations 74

Learning to Approximate 76

Approximating in Practice 78

Why Guesstimation Works 80

Getting Comfortable with Approximations 82

Guesstimation in the QI Framework 86

Key Learnings - Chapter 5 86

Chapter 6 From Analysis to Synthesis 89

The Value of Synthesis 90

Make Your Bottom Line Your Top Line 93

The Lack of Synthesis 95

Encouraging Synthesis 97

“What?”, “So What?”, and “Now What?” 99

Key Learnings - Chapter 6 100

Chapter 7 The Decision Moment 101

Dimensions of the Decision Moment 102

The First Two Dimensions: Time and Risk 103

The Third Dimension: Trust 106

Measuring Time, Risk, and Trust 108

Decision Reversibility 115

Navigating Ambiguity 118

From IWIKs™ to Decisions 121

Key Learnings - Chapter 7 123

Chapter 8 Delivering the Decision 125

The Story Arc in Decision-Making 126

Tuning the Narrative 128

Inform versus Compel 139

Key Learnings - Chapter 8 141

Chapter 9 Chasing the Decision 143

Strategy 1: Create the Case for the Decision 146

Strategy 2: Frame the Outcome 150

Strategy 3: Classify the Type of Decision 153

Strategy 4: Reduce the Scope of the Decision 154

Strategy 5: Right Size the Decision 156

Strategy 6: Pressure Test the Decision - Go to the Extremes 159

Strategy 7: Seek Consent Not Consensus 163

The Perfect Decision Is an Illusion 164

Key Learnings - Chapter 9 165

Chapter 10 Creating a Quantitative Intuition™ Culture 167

Recruiting for the Quantitative Intuition™ Skill Set 169

Building a Quantitative Intuition™ Team 175

Cultivating a Quantitative Intuition™ Organization 181

Key Learnings - Chapter 10 183

Chapter 11 The Future of Data-Driven Decision-Making 185

Automation and Human Judgement 186

Predictions and the Digital Twin 190

Probabilistic versus Deterministic Thinking 193

Found Time for More Decisions 196

Epilogue 199

Acknowledgments 203

Index 207

Authors

Christopher J. Frank Paul F. Magnone Oded Netzer