Measurements from more than 1,000 transformations reveal seven patterns why transformations may fail. Seven other patterns show how artificial intelligence brings predictability back into the game. 70% of organizational/digital transformations fail and all we hear are self-evident improvement suggestions like that we need “more leadership” and “better communication”. This book takes another route. Objective measurements from 22,000 team cases in more than 1,000 transformations reveal seven patterns why transformations may fail. Luckily, seven other patterns show how artificial intelligence brings predictability and peace of mind back into the game. Individually, each of these fourteen patterns has been academically underpinned in peer-reviewed journals. This book translates the scientific jargon into plain English. Preface 1 Meeting the founder 5 Talking to Tina about technology 7 Speaking to Stan in Strategy 9 Discussing data with Danielle 11 Hearing Henry about HR 13 Summarizing day 1 15 The next day: the Transformation Executive 19 1. Don’t ask for opinions but for verifiable facts and -behavior 21 2. Validity & reliability: ask 100 people. Or more. 25 3. Focus the attention: only 20% underperform 29 4. It's not being unwilling but being uninformed 33 5. Ambition: the 20-55-25 rule 35 6. 50% (might) say 'yes' but think 'no' 37 7. Realistic managers unknowingly overcharge 39 Summarizing day 2 43 8. The crowd sets six times smarter targets 47 9. The 20-50 rule: 20% of questions are 50% of the gap 51 10. Everyone does something else right 53 11. The joy of postponing non-priorities 55 12. Snackability  productivity: the 10-75 rule 57 13. Nudging works 59 14. Employees rush to the scene, managers don't 61 Summarizing day 3 63 Reporting to the Founder 65 Acknowledgments 69 Literature 71 Big-4 or Big Tech: Who Drills First? 73