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A case against estimates (3rd Edition)

The rewards are theirs, the risks are yours.

Whether you thought that estimates were natural or you felt uncomfortable, whether you think you are a good estimator or if you think you are always wrong - you need to understand the why and the how of estimations.

This book brilliantly unpacks the illusion of control, the skewed risk proposition and why we should abandon estimations in favour of modern business practices like feedback, embracing the unknown and being truly collaborative.

Here is my case against estimates. (and some alternative ideas)

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About

About

About the Book

This book explores cognitive bias and the human condition of estimation. It unpacks the fallacies and illusions we have created around the estimate. It looks at Why we estimate, Why estimates are correct and why they are wrong. But importantly it presents an alternative.

The world is changing faster than ever, and here we are still doing ritualistic, ceremonial things not because they are good or valuable, but because that’s just the way its always been done.

Estimations is one of these embedded ideas, ubiquitous in the human operating system, in business, in management. It is taught in every discipline from business to garbage collection. Our children cry, “When will be there?”. We ask, “How long will it take?” and we can imagine no other way of doing things.

What if I showed you, the illusions, like when your eyes deceive you? What if, just as your vision can so easily be tricked, your mind has been tricked into believing falsehoods and fallacies.

What if estimations are not decreasing risk, but instead they are increasing them?

What if estimations were anti-collaboration? What if estimations were subjectively viewed as just what we do, but objectively was an illusion of control and certainty. The illusion is so powerful, you confabulate and justify it, even when estimations have proved to be wrong. 


Author

About the Author

J.B Crossland

Jonathan Crossland is a writer, software developer, architect and businessman with 30+ years of experience building business software. His experience covers various industries including publishing, finance, manufacturing and property. He has managed and led teams building enterprise software, including:

  • Power Plant Management
  • Educational Bursary Management
  • Loan Applications / Commissions
  • Publishing Management (ONIX)
  • Training Software (SCORM/LMS)
  • Batch Manufacturing Framework
  • Enterprise DataExchange Formats for finance
  • Smart Contracts/Blockchain for Commercial Property
  • CRM's / Web Frameworks / REST Framework / ORM's
  • Employee Benefits / Pension
  • Knowledge Transfer Partnership (KTP UK)
  • Newspaper websites / Company Admin Portals Jonathan founded the software house Lucid Ocean and ran the business between 2004 and 2019. He is available for software development consulting roles. You can find him at ammerse.org
Leanpub Podcast

Episode 315

An Interview with J.B Crossland

Contents

Table of Contents

Table of Contents Contents Who Is This Book For? 1 Preface 3 Why Do We Estimate? 11 The Roles We Play: Archetypes Of Ritual 12 The Reinforcement Behaviours 17 Notable Mention: No Details. Workaround 30 Conclusion 31 Why Are Estimates Correct? 33 Play The Game? No, I Win It. 34 The Rose-tinted Past 37 It’s Not Groundhog day 39 Padding The Truth 41 Decomposition Delusion 42 Making It Fit: The Cost Of Being Right 43 The Confirmation Loop 44 Why Are Estimates Wrong? 47 Change 47 Expectations 48 Predictions 48 Cognitive Load 48 Unknowns 48 Inexperience 49 Biases 49 False Correlations to Estimates 50 The Risk of Cost 51 The Risk of Value 55 The Risk of Accountability 58 The Risk of Certainty 63 Topics not directly covered. 65 Shared effort 65 Omittance 66 Quality Discovery 66 Fixation 67 Sunk cost 67 Availability 68 Anything else? 68 Unpacking alternatives 73 Shift from Estimation to Framed Discussions 73 Shift from Estimation to Feedback 75 Constraint-Based Planning 75 Adaptive Delivery 77 Shared Risk and Accountability 78 Rejecting illusions 78 Rethinking Success 79 Shift to Coarse-grained relativity 79 Shift to reality 80 How AMMERSE can play a role 81 Conclusion 83 Estimates are not collaborative 83 Stochastic vs Determinism 83 What do we lose? 84 The conversation is better than the number 84 Will things change? 85 A. AMMERSE Summary 89 Agile 91 Minimal 92 Maintainable 93 Environmental 93 Reachable 94 Solvable 94 Extensible 95 B. AMMERSE: A Replacement For Estimation 96 Estimation is filled with bias (1) 96 The conversations are important (2) 101 The Number Increases Risk (3) 101 We rely on it for allocations and planning (4) 103 AMMERSE Is Dynamic 104 C. The AMMERSE Cheat Sheet 106

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