Blog

• Your model says a feature matters. That doesn't mean changing it does anything.

  SHAP and feature importance tell you what predicts the target, not what to change to move it. Here's the difference — and when you need causal discovery.

• Your dashboard shows correlations. Here's how to find what actually moves the metric.

  A practical guide to causal discovery for analysts: how it finds what drives a metric, and why an honest tool admits when the data can't prove a direction.