Recruiting Analytics Dashboard

Recruiting analytics fails less from missing data than from measuring things nobody acts on. Time to hire, applications per role, and source counts are easy to display and rarely change a decision.

The metrics that do change decisions are harder: which stage loses the most qualified candidates, whether the screening bar is consistent across recruiters, and whether the people who pass screening actually succeed in the job.

The last of those needs post-hire data most recruiting tools never see, which is why the honest scope of any recruiting dashboard is what happens up to the offer.

Because Edvenity runs screening inside the pipeline, the data exists as a by-product rather than requiring anyone to log it: interview scores, assessment results, stage transitions, and time spent per stage across every candidate.

That supports the questions worth asking. Where do candidates drop out. Whether score distributions suggest the bar is set sensibly. How many applicants reach a recruiter conversation, and how many should have.

It does not do enterprise BI. Teams needing custom modelling, cross-system joins, or headcount planning should expect to export and analyse elsewhere, and platforms built around reporting depth will do that better.