Assessing heatmaps

A heatmap answers "where do people interact with this page?" — clicks, rage clicks, mouse movement, and how far down they scroll. The data is pure geometry: pointer_relative_x (0..1 across the viewport), pointer_y (absolute pixels down the page), and a count per spot. It does not know what was clicked. Turning "lots of clicks at (0.5, 220)" into "lots of clicks on the Pricing nav link" is the whole job, and it comes from cross-referencing autocapture on the same URL.

Core principle: coordinates + meaning

You can't see the page — there is no screenshot in your context. A good assessment fuses two sources and leans on autocapture to supply the layout/identity you can't see:

1. Heatmap data — where interactions land and how far people scroll (heatmaps-list).
2. Autocapture — what element sits under the hot spots, by element text / selector on the same page. This is what turns coordinates into meaning; without it you only have dots.

When the user wants to see the heatmap, create a saved heatmap (Step 4) — that renders the page with the data overlaid for them to open in PostHog. You reason from the data; they look at the picture.