
How can you become your own coach when facing a tough leadership problem? In this episode, Kevin talks with Dr. Katie Best about how leaders can coach themselves through complex challenges by slowing down and understanding the context. She shares her SOLVE model: State the problem, Open the box, Lay out the solution, Venture forth, and Elevate your learning. They discuss why leaders often rush to action before clearly defining the real problem, how research and observation can reveal patterns, and why being "fairly sure" is often enough to move forward in an uncertain world. Katie also explains how pre-mortems can help leaders anticipate what might go wrong and how organizations can create a common language for better problem-solving, decision-making, and psychological safety. Book Recommendations The Ten Toughest Leadership Problems by Katie Best Flexible Leadership by Kevin Eikenberry Moxie by Jennifer Mathieu Micro-Habits by Jake Humphrey and Damian Hughes Like this? Reframing Problems with Thomas Wedell-Wedellsborg The Coaching Effect with Bill Eckstrom Listen For 0:00 Introduction 0:41 How to Join the Live Podcast 1:27 Free Action Guide + Meet Dr. Katie Best 2:20 Why Katie Wrote The Ten Toughest Leadership Problems 4:16 What Makes This Book Different: Context Over One-Size-Fits-All 6:41 Self-Coaching vs. Hiring a Real Coach 8:06 Introducing the SOLVE Model 8:28 S – State the Problem 9:00 O – Open the Box 10:23 L – Lay Out Your Solution 11:55 V – Venture Forth 13:37 Overthinking vs. Rushing to a Solution 14:40 How Do You Know When You Have Enough Data? 16:45 E – Elevate Your Learning 17:53 The Power of a Pre-Mortem 20:11 Coaching Is Problem Solving in Disguise 21:06 Where AI Fits Into Leadership Problems 23:10 Using SOLVE at the Organizational Level 26:31 What Katie Best Is Reading 28:18 How to Connect With Katie Best 29:24 The Activation Question --- 🎧 Subscribe and Listen to the Remarkable Leadership Podcast Apple Podcasts: https://remarkablepodcast.com/applepodcasts Spotify: https://open.spotify.com/show/4G4KyDG8rvNcvVVbgwKGIl Amazon Music: <a href= "https://music.amazon.com/podcasts/1ad13b5c
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