Checklists are really helpful ways to remind people around how to manage complicated tasks.

If you are trying to improve the performance of existing operations in known markets, it is an analytical problem where it's just a question of aligning your execution engine in the right way. If it is about creating something new and different, you can't derive the right answer analytically.

History teaches us that many breakthroughs were happy accidents. Whether that's penicillin coming from Fleming neglecting to clean his laboratory before going on vacation or the team at Odeon trying a little side project that allowed people to communicate in real time as long as their message was 140 characters or less (which ultimately of course became Twitter), the unintended is often the transformational.

Most startup companies have two people, and they figure out creative ways to swarm problems. They move faster and have more impact.

In the face of uncertainty, many companies will default to asking their innovators to study and analyze, which can't actually ever provide a definitive answer. The decision-making systems here are meant to deal with the reality that decisions about innovative ideas will rely on patterns and intuitions. The best venture capital organizations deal with this challenge by staging investment, actively participating in startups they fund, tying decisions to learning as opposed to artificial dates on the calendar, and assembling a diverse team of decision-makers.

Of course if you are launching a new business you can thinking about revenues, profits, and so on, but metrics such as customer satisfaction or employee retention might be meaningful if you are focusing more internally.

Have a core concept, but wrap it in a full business model.