Once product development is underway, there are new feature ideas that will make their way into the product backlog. Having a data strategy can help us to evaluate new feature ideas and how our product performs in terms of success metrics. As we saw in Chapter 7, Track, Measure and Review Customer Feedback we need to track, measure, and review customer feedback. We need to seek qualitative and quantitative insights. However, teams can be easily distracted when looking at the wrong data and biases. We need to eliminate wasteful processes in how we seek and interpret data. Product teams need to have a data strategy as an inherent part of their way of working.
Accordingly, this chapter will address the following topics:
Defining the hypothesis that we seek to validate
The problems with data