Uncommon Schools

Uncommon Schools
Problem Insight Work Results
Uncommon Schools is hiring personnel, but needs to trawl through thousands of applications to fill a single position. Currently, Recruitment Coordinators do not have a way to prioritize application and resume review - applications are reviewed in the order they are received. The solution is to perform a latent variable analysis to determine if CNSLT.us can identify the factors that separate successful candidates from unsuccessful candidates. The focus will be on identifying statistically significant variables, alone and in conjunction, that are causal to the success of a candidate. Following that, CNSLT.us will determine if (i) information on the success or failure of a phone interview and/or follow up job offer is available before the phone call, and (ii) to determine if such information exists at all in the application data. CNSLT.us will develop a ranking algorithm that will order candidates by probable success through the entire process, especially the phone interview. This algorithm could be used to structure the order in which Recruitment staff process candidates. If successful, Recruitment staff should be able to avoid processing some percentage of applicants at all, since open positions will be filled more rapidly. Additionally, the algorithm will allow Uncommon Schools to review candidates based on likelihood of getting an offer, rather than the order in which the application was submitted. CNSLT.us will share the results of the work once Uncommon Schools’ Recruitment staff has implemented it.