An innovation arm's performance isn't its "batting average." If a team pursues truly ambitious, "exotic" opportunities, a high failure rate is an expected and even positive signal. An overly high success rate suggests the team is only taking safe, incremental bets, defeating its purpose.

The default assumption for any 'moonshot' idea is that it is likely wrong. The team's immediate goal is to find the fatal flaw as fast as possible. This counterintuitive approach avoids emotional attachment and speeds up the overall innovation cycle by prioritizing learning over being right.

Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.

Disagreeing with Peter Thiel, Josh Wolf argues that studying people who made willful mistakes is more valuable than studying success stories. Analyzing failures provides a clear catalog of what to avoid, offering a more practical and robust learning framework based on inversion.

For ambitious 'moonshot' projects, the vast majority of time and effort (90%) is spent on learning, exploration, and discovering the right thing to build. The actual construction is a small fraction (10%) of the total work. This reframes failure as a critical and expected part of the learning process.

Instead of stigmatizing failure, LEGO embeds a formal "After Action Review" (AAR) process into its culture, with reviews happening daily at some level. This structured debrief forces teams to analyze why a project failed and apply those specific learnings across the organization to prevent repeat mistakes.

To ensure continuous experimentation, Coastline's marketing head allocates a specific "failure budget" for high-risk initiatives. The philosophy is that most experiments won't work, but the few that do will generate enough value to cover all losses and open up crucial new marketing channels.

To truly learn from go-to-market experiments, you can't be half-hearted. StackAI's philosophy is to dedicate significant, focused effort for 1-3 months on a single idea. This ensures that if it fails, you know it's the idea, not poor execution, providing a definitive learning.

Supercell's culture redefines failure. Instead of punishing unsuccessful projects, they are treated as learning experiments. The company literally celebrates killing a game with champagne, reinforcing that learning from a false hypothesis is a valuable outcome.