You can’t fix what you can’t measure
Dashboards crystallize impact by aggregating key metrics across adoption, usage, and retention. While off the shelf dashboards work well at the overall product level, I often find myself having to write one-off SQL queries to track these metrics at a feature level.
The SQL queries I frequently write,
- Compare behavior across test and control groups
- Track click through rates to measure engagement
- Measure daily/weekly/monthly active users for adoption
- Track changes over time through cohort analysis