Time to hire is the elapsed time from application to accepted offer. It reflects how efficiently your process converts candidates into hires.
A related metric: time to fill. That starts when the role opens, including the sourcing period before candidates apply. Time to hire focuses on the candidate's window. Common formula: Date of Offer Acceptance - Date of Application.
Benchmarks vary by role, seniority, and geography. 20 to 40 days is typical. The number itself matters less than understanding what's driving it.
Strong candidates have options. Every extra week increases the chance they accept another offer. In competitive markets, speed is a prerequisite.
An unfilled role has a direct cost: lost productivity, overburdened teams, stalled projects. For revenue-generating roles, the cost of vacancy can exceed the cost of the hire itself.
A high time to hire usually points to structural bottlenecks: slow feedback loops, misaligned stakeholders, unstructured evaluation. Fixing time to hire usually means fixing the underlying process.
But here's the caveat. Reducing time to hire by cutting corners makes things worse. Skipping assessments or rushing interviews might lower the number, but it increases the risk of a bad hire. The goal is speed with quality.
“Speed without quality is just fast failure.”
Most teams try to reduce time to hire by pressuring recruiters to move faster. That rarely works. The delays are structural:
When TA and hiring managers aren't aligned on what they're looking for, every step takes longer. Screening is unfocused. Interviews cover different ground. Debriefs become debates.
Without predefined methods and scoring, each candidate requires a custom process. Structure creates repeatability. Repeatability is fast.
Scheduling, sending assessments, collecting feedback. When these are manual and disconnected, each handoff introduces delay.
The most expensive problem. Reaching the final round only to discover the hiring manager wants something different. Alignment at the start prevents rework at the end.
Establish criteria, methods, and decision frameworks before the first candidate applies. Eliminate the discovery process that usually happens mid-hire.
Psychometric assessments take under 30 minutes and give you structured data before the first interview. Interviews become focused and productive, not exploratory.
Assessment invitations, candidate progression, scheduling, result syncing. These should happen automatically. The team's time goes to evaluation, not coordination.
Instead of subjective debriefs, use a composite scoring model. This turns a two-hour hiring committee meeting into a five-minute review of ranked candidates.
Tracking the number is easy. Making it useful is harder. Here's what to report beyond the average:
Where does time accumulate? Definition? Screening? Interview scheduling? Decision-making? Break it down. That's where the bottlenecks are.
An average across all roles hides the patterns. Technical roles, leadership hires, and volume roles have fundamentally different timelines. Track separately.
If candidates leave at a specific point, that's your friction. Combine with time data to see if speed is the issue or something else.
The metric that matters most to leadership. Are faster hires performing better or worse? If there's no correlation, speed isn't your problem. If faster hires perform worse, you're cutting corners.
Alva customers report an average 60% reduction, from ~50 days to ~20 days. The saving comes from removing friction and ambiguity, not from removing rigour. That's the story leadership needs to hear.
Define: criteria and assessment plans generated upfront. No ambiguity
about what to evaluate.
Assess: Adaptive assessments deliver validated data in under 30 minutes,
early in the process. Candidates are automatically invited. Results sync
without manual work.
Decide: Role Fit scoring ranks candidates mechanically. Decisions happen
faster because the data is clear.
Improve: The feedback loop identifies which stages add the most time and
least value.
Time to hire connects directly to cost of hire (every day a role is open costs money) and quality of hire (faster processes only matter if they produce good outcomes).