Test around 100 ideas to find one winner. A portfolio approach spreads risk across experiments, accepts high failure rates as necessary, and generates learnings that apply to future work.
Chapters
Let's expand on this idea of portfolios. You know, innovation is inherently volatile, and the best defense against volatility is volume, right? Innovation is a numbers game, and the more ideas we test, the more likely we are to find those game-changing propositions that will truly transform our organization. And we'll look at a case study later on, but you likely need to invest in 100 things to find the one winner that will pay 10 times over for the 99 that didn't make it. So having this portfolio-based approach really helps to smooth out the risks that are associated with investing in individual ideas, and it actually encourages a high failure rate, right? Which is a good thing. You know, it's that high failure rate that helps to drive us forward to finding the winners. And it's this approach too that helps us to learn from a much broader range of experiments. You know, that's how we build the valuable insights that we can apply to other ideas in the future.