Knowing how to generate product hypotheses and validate them effectively can surely boost your product development. But what should you know about formulating hypotheses that won’t be a waste of time?
A great product hypothesis has to be concise. It needs a specific cause (i.e., what you’ll be changing) and a measurable effect (i.e., the expected outcome). The more details are included in the hypothesis statement, the better, so you should add who’ll be affected by the change, how long the test will take, and the possible risks 🔬
The next step involves selecting a focus group, a proper experiment, and the appropriate metrics that’ll deliver data for evaluating the test 📊
Vagueness or a disconnected cause-effect will get you nowhere. The same goes for having too little data that won’t be enough for making conclusions.
If you want to pick up your game and make product hypotheses a leverage, keep reading to find many details and tips on the process 👇
https://www.upsilonit.com/blog/how-to-generate-and-validate-product-hypotheses