An experiment is a way to collect data, which could falsify a hypothesis (H). If the amount of data is so large that it could falsify the hypothesis, but it doesn’t, then the hypothesis is considered true. Or: How much data do you need to convince yourself, a team mate, or a VC of H or its contrary?
Most experiments measure user behavior, for which customer conversations is the main technique. Others kinds of experiments are data research and technology tests.


  • Go to the central cafeteria of the university and ask 20 students how much they spent on their bike-lock.

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