Snuffy

Hey All-Trying to make sense of the N(bee)(ahh)(ahh) Salery Surevay from 2013. Anybody reading this ever use it to determine an appropriate salary using more than one data point? How do you use multiple fields to get a more accurate salary for a given job? For instance, you could obviously read the base salary for any given aircraft, but how do you interpolate the region, industry, company size and employ numbers into the aircraft's base salary to get a more "computed" salary guidance?
I've asked the creators and they don't have an answer. They don't have a metric (algorithm?) to crunch the numbers down like that. Just wondering if anybody had real experience using it productively. Maybe you've come up with a way to spitball it??
Thanks!
by the way, if anybody is enough of a database/spreadsheet geek that wants to tackle the project, PM me and I'll give you a contact on the team for 2014. He expressed interest in obtaining that ability. (but maybe not paying someone for that ability)

Oh yeah, they have been very nice to me over there, and in the interest in of science, I feel compelled to remind everyone to get online and fill out the survey!

pokey9554

Nothing official here, just my thoughts. You could rank the location of the position against the national cost of living, as well as the amount of responsibility in that position, and create your own "graph" to interpolate from.

Snuffy

yeah, that could work...thanks!
strange, thought there would be more of a response...