How should we calculate ROI for candidate rediscovery software at enterprise scale?

Calculate enterprise ROI by comparing the software's total cost to the combined savings from reduced job board and sourcing partner spending, recruiter hours saved across all participating business units, and faster time-to-fill. This should be measured through a structured pilot before committing to a full rollout. At the enterprise level, aggregating results from multiple business units provides a more accurate picture than measuring just one division.

Track these inputs during the pilot: time-to-screen reduction compared to your previous sourcing process, job board and sourcing partner spending avoided because rediscovered candidates required no new postings, interview conversion rates from the shortlist across all participating business units, and hiring manager time saved through a pre-scored shortlist reviewed via a no-login link.

A simple formula extends the mid-market approach to enterprise scale: sum the recruiter hours saved multiplied by the hourly cost across all participating business units. Then, add the total job board and sourcing spending avoided organization-wide, and subtract the software's total subscription cost for the measurement period.

Software like Skima AI structures its pilots around this exact measurement. It tracks time-to-screen, interview rates, and hiring manager responses through weekly reports during a 30-day window, aggregated across all connected business units and ATS or HRIS systems.

The most reliable enterprise ROI figures come from conducting this pilot across a representative sample of business units, not just the single division most eager to adopt new tools. Results in one division do not automatically predict results organization-wide.