KPIs and Other Metrics
Explore the role of KPIs and metrics in managing AI product success. Understand how to differentiate meaningful indicators from vanity metrics and use data to troubleshoot issues and improve product performance. Learn to establish relevant, actionable KPIs that align with business objectives to drive growth and customer value.
The previous lesson on north star metrics already gave us some good examples of the variety of metrics we can track. This is an excellent way of grouping various KPIs we’re going to track, besides whichever we settle on for our north star metric, because the goal of metrics is to give us quick flashes of insight into the strength and success of our product. However, these numbers don’t stand alone. What good is it if our revenue is great, but it’s only coming from two customers? What good is it if our customers install our product but never use it actively?
Optimizing KPIs for AI product success
Having a well-rounded assortment of KPIs is responsible. Doing our due diligence to explore the variety of ways our customers and users interact with our product will go a long way toward not only our product succeeding in delivering value to our customers but also educating our product organization on potential areas ...
