Introduction to Setting a Cohesive Analytics Strategy

As we begin to capture the data and start to analyze the metrics, we'll need to be able to interpret these metrics, identify the right KPIs for our product, and make decisions based on these metrics. In this chapter, we'll learn about how we can stitch together the insights from the various metrics we have, evaluate and contrast each of them to validate or invalidate our findings, and remove biases that might impact our decision-making process.

Once we have metrics established and start measuring various aspects of the API experience and usage, we can see which aspects of our product strategy are being addressed sufficiently by our current product initiatives and where we might have gaps. Establishing an analytics strategy will allow us to stitch together the various sets of metrics and draw the big picture of how our product is meeting our customer and business goals.

It is not sufficient to just have metrics set up. It is also important to understand how to evaluate their quality and how to make sure they are extensive and robust. Each metric on its own is only a measure to evaluate if that measure is at an acceptable level or a concerning level is open to interpretation. In some cases, we have industry standards to ...