[solve]

So, let's plug these shapes into a regressor / ranker / classifier, along with some possible target variables (career path, survival rates, yearly office peer ratings, salary after 5 years,) for as many balanced samples as possible, and see what predictive power these might have!

Or, I guess the graph itself could also be considered a resume differentiator / sales technique.

Edit: Oh, I see. They're heavy on the highly personalized matching angle.

[qooleot]

Yes, that would be interesting data. Most companies would output reports from their HRIS systems in wildly different formats, and you'd have to adjust for industry, geo/currency, year, gender/ethnicity/language, and all sorts of things. But just getting that data and the sensitivity that goes with it would be near-impossible unless you were a salary survey company. And then, they get job-level data and not per employee. They charge serious money for the services of analyzing this data and do not make their data available.