Analytics Are Maps

principle

Analytics compress human behavior into a usable map, but the compression hides context and complexity. Make decisions with the map, then periodically check them against real people.

A dashboard can describe thousands of customers and still fail to represent any one of them. The people behind its clean categories remain more complex than the analytics collected about them.

E1

Compression creates the blind spot

Analytics work by selecting measurable features, grouping observations, and discarding detail. That compression makes patterns visible—and makes the system manageable—but it also creates the gap captured by map-is-not-the-territory: the representation preserves only what its designers chose and its instruments could record. A segment can reveal a commercial pattern without explaining the person inside it. human-in-the-loop-judgment closes part of that gap by letting human contact test whether the abstraction still matches its subject.

E1

Do not throw away the map

The lesson is not that measurement is useless. Without compression, large populations become impossible to reason about; customer-segmentation and measurement-drives-improvement depend on finding patterns across cases. The failure begins when a useful pattern is treated as a complete person—or when an anecdote from one person is allowed to erase a robust pattern.

Interview the edge cases

Tomorrow, choose one important dashboard category and speak to two people it classifies: one near the category’s center and one near its boundary. Ask what the recorded fields miss, then annotate the dashboard with that missing context or change the segment if the same omission affects decisions.

Episodes that teach this