How to Test Product Hypotheses When Your User Base is Tiny
Chances are you, as a product manager or a startup founder, took some time to learn about designing A/B tests to make informed decisions about which features land, and which need to be thrown in the bin.
But there’s one thing you may have noticed doing a Coursera course or a Python exercise on DataCamp: oftentimes, A/B test designs rely on having a lot of data from a large sample of users.
While these exercises are very useful, and big data is a reality for many tech products, there are also many examples where you may end up working with smaller samples and way less data:
- An early-stage startup: you just don’t have that many users yet;
- An internal tool: your entire user population may be under a couple thousand users: in-house developers and analysts, customer support specialists, recruiters;
- A product or a service with a lower event volume or...
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