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So, let's plug these shapes into a regressor / ranker / classifier, along with some possible target variables (career path, survival rates, yearly office peer r

by solve 12y ago

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 12y ago
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.