Most product teams face a common challenge: understanding which metrics and behaviors actually drive their key outcomes. You might ship a feature that moves your north star metric, but without systematic analysis, it’s hard to know whether you’re measuring the right things or if the features you’re building are having the impact you expect. Typically, answering perennial questions like “which metric best predicts retention?” or “which user behaviors correlate with conversion?” and deciding where in the experience to run your next experiment (and to whom) requires either educated guesswork or…