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The first point could be likened to the Apple vs. Google design model.

Google: "Test 36 shades of blue and choose the one that performs best"

Apple: "Create beautiful product based on user experience and then convince you that you like it."

I don't think making all product decisions based on data is necessarily good, nor is designing in a vacuum.




It sounds more like different data set that's gathered by observation. If you can keep the observer's bias to a minimum this method may tell you more about how your feature is received and used. It is also the most time consuming and costly approach and doesn't really scale.




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