Launching a new product can be a bit like a science experiment. You have made observations and created a hypothesis with data that supports your claims. Next, the hypothesis gets approved so you launch the product thus testing it.
Now its time to draw conclusions and refine the hypothesis.
But this presents you with a problem. Your original hypothesis data is not the same as that returning from the real world. So what can you do?
How properly capturing real-world market data will give you reliable insights into your next product
Why analyzing past performance can be a powerful predictor of future product success
How product teams can use their data to make product optimization or rationalization decisions
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