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Competing Against Luck

Clayton Christensen

Recommended by 7 people on the record.

The bar next to each date shows how long ago it was said: 7d is days, 4yr is years.

Ali Ghodsi recommends it
How do you build amazing products? This book is the essence of the famous Jobs To Be Done framework that so many PMs use.

on a16z.com · 7 Nov 2025 · Report

Scott Cook loved it blurb
This game-changing book is filled with compelling real world examples, including from inside Intuit. Jobs Theory has had --and will continue to have ---a profound influence on Intuit’s approach to innovation. It just might change yours, too.

on harvard.com · 4 Oct 2016 · Report

Muhtar Kent liked it blurb
Competing Against Luck offers fresh thinking on how to get innovation right. Clayton Christensen and his coauthors offer a compelling take on how to truly understand customers by the progress they’re seeking to make in their lives. Bravo!

on harvard.com · 4 Oct 2016 · Report

Maureen Chiquet recommends it blurb
In an age of big data and hyper segmentation, Christensen’s thinking is refreshing and clarifying. This book will relieve you of tired marketing conversations and invite you into worlds of new and ultimately, defining possibilities. Competing Against Luck is a must read for anyone working on developing or sustaining a distinctive brand.

on harvard.com · 4 Oct 2016 · Report

Sal Khan recommends it blurb
As a long-time fan of Clay Christensen, I was eager to read Competing Against Luck -- and it didn’t disappoint. This book has the potential to change the way you view innovation. Engaging and well-written, Christensen and his co-authors caused me to stop and really think about how Khan Academy is growing. I highly recommend it.

on harvard.com · 4 Oct 2016 · Report

This book on rcmnd →

That little bar

It says how long ago something was said, so you can tell last month from 2014 without doing the arithmetic. Full and green is recent; it drains and cools as the date gets older, and empties completely at about 6 years.

A striped bar means the date itself is an estimate — the source did not carry an exact one. An entry with no date at all gets no bar.