Nine years ago, I formulated the idea that testing a large number of hypotheses is crucial. In essence, this means that when developing a product, we are bound by our hypotheses. We have hypotheses about everything:

• The target audience 

• The customer's pain

• The value proposition 

• The market 

• The business model 

Ultimately, we all seek to ascertain whether success awaits us in our venture's future. Let S (success) represent success and H (hypothesis) be our hypotheses. The probability of success is limited by the number of hypotheses: 

P(S) = lim_{H → ∞}(H) 

It's not difficult to infer that such a limit converges to one. The questions of hypothesis, pain, and value proposition are addressed through the process of customer discovery, while hypotheses about the market and business model are clarified through unit economy modeling. 

There's a proverb in the Russian language: "measure seven times, cut once." Its meaning suggests careful consideration before action. The more closed English proverb is "Discretion is the better part of valor". However, when creating an innovative product, it's better to make seven cuts and select the best one. Only through this method can you effectively test a multitude of hypotheses.