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About the Book

Organizations famously stifle their teams' problem-solving ingenuity, and in this book I shine a light on how we can optimize our organizations to truly thrive, innovatively. With the risk of failure of a single problem-solution being so high, we must empower our teams with a richer capability to try and learn from a wide gamut of possibilities when it comes to solving the problems we bring to the innovators we hire and invest in. Failure is often glorified as the way forward, but alluring as failure might be, failure alone is not enough. Failing mindfully is the way forward. We don't learn from failure. We learn from continuous reflection on those failures.

The scientific method suggests hypotheses cannot be proven, and must be falsifiable. If you aren't running experiments to test hypotheses and test your way to the right product, you should be. If you are experimenting, but more than half of your experiments are successful, that's probably not how you should be designing experiments, or perhaps you're measuring the wrong metrics. Plan to fail, then plan to iterate or pivot. Better yet, let's setup our organizations and our teams in a way that's optimized for a high throughput of asynchronous failure-driven learning and innovation.

Early Access + Perks: $30 post-launch price

  • $10 - receive digital and physical copy of the book at launch
  • $20 - receive early access digital copy of the book, fortnightly book club starting March 18th, 2022. plus signed, physical copy of the book at launch
  • $29.97 - founding enabler: receive all of the above + swag + fortnightly book club starting March 18th, 2022 + exclusive remote consulting + other probable mystery surprises

Important note: to get the perks listed above, you must share your email address at the time of purchase. Otherwise, LeanPub does not share your information with us and we won't know how to reach you to grant you access to the perks.


About the Author

Scott Showalter ’s avatar Scott Showalter

@scottrageous

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Publish Early, Publish Often

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