Use external benchmarks for rough orientation only, and build your decisions on your own baseline. Published figures mix industries, seniorities, locations and definitions, so a difference usually reflects measurement rather than performance. Compare each role family against its own history, against comparable roles inside your company, and against what candidates tell you directly.
Because almost nothing is standardised. Time to hire alone can be measured from requisition approval, from job posting, from first application or from first contact, and each definition produces a different number for the same search. Cost per hire varies depending on whether recruiter salaries, tooling, referral bonuses and advertising are included. Then the sample: a figure covering all industries blends a warehouse role in a large city with a specialist engineering hire in a small market. Add self-selection, since companies that respond to hiring surveys are usually the ones that measure carefully. None of this makes benchmarks worthless. It makes them orientation rather than a target, and treating them as a target is how teams end up chasing a number that never described them.
Yourself, segmented properly. Take one role family and look at its trend over the last several quarters using a single consistent definition. That comparison is measured the same way each time, which is exactly what external data cannot offer. Then compare within your company: if two teams hire similar roles and one closes them twice as fast, the difference is worth understanding and the data behind it is available. Finally, use the market directly. Declined offers, salary expectations from real candidates and response rates to outreach tell you where you sit far more accurately than a published median. Set your definitions once and record them in your [recruitment analytics](/recruitment-analytics-software) so a change in method is never mistaken for a change in performance.
For orientation, for pay, and for arguments about resourcing. Compensation surveys with a defined scope, location and role level are the most useful category, because pay is comparatively well specified and candidates confirm the numbers in conversation. Sector reports help when you are entering an unfamiliar market and need a rough sense of what a search might involve. And a credible external figure can support a resourcing case with leadership, provided you present it honestly, including who was surveyed and how the metric was defined. What benchmarks cannot do is tell you whether your process is good, because they say nothing about your roles, your bands or your bar. State the caveats when you present it, because a benchmark quoted without them gets repeated as fact.
Work from your own baseline and from the business need, using the [recruiting metrics](/recruitment-metrics) you already collect. Measure current performance for a role family, decide what improvement is worth pursuing, and set a target a step beyond it with a named owner and a mechanism. Ground it in a consequence rather than in a nice round number: if a critical role sitting empty costs a team a quarter of output, that determines what your time to hire target needs to be. Review each quarter and adjust for market changes. Beware of targets that pull against each other. Pushing time to hire down while holding cost flat and raising quality usually means one of them quietly gives, and it is normally the one nobody measures.
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