Career profiles built from real career-change data

How these are different

A typical career page is assembled from public occupational descriptions: a definition, a duties list, a salary figure with no source, and a personality type. It answers “what is this job” and stops. The problem is that you already know what the job is — what you cannot find out is whether it is reachable from where you actually stand.

Every profile here starts from a different place. When someone completes our assessment, the engine reads their real experience, constraints and income floor and names three specific careers with income ranges. Across 26,305+ assessments that has produced tens of thousands of matches — so for each career we can say how often real people were actually pointed toward it, what starting range they were shown, and what they were doing beforehand. Where we also have first-hand experience of the work, we say so and say who is speaking.

The honest limit: that data runs out, and it runs out sooner than the raw totals suggest. Our engine has generated 73,670 career matches across 62,138 distinct titles — but most of those are specific compound roles (“Remote Operations Coordinator, Health Systems”) rather than careers anyone searches by name. Testing 53 recognisable job titles, 34 clear 50 matches, 27 clear 100, and 19 clear 200. That intersection — a job people actually look up, backed by enough of our own data to say something specific — is the real constraint. Beyond it we would be writing the same unsourced filler as everyone else, so we do not. This list grows only as the data does.