KPI dashboards

Recruitment KPI dashboard

Recruiting is a funnel, and its dashboard should read like one: where candidates come from, where they stall, what each hire costs, and how long roles stay open. Funnel math beats gut feel on every one of those.

Analysis reportJuly 1, 2026

Recruitment KPI Dashboard

Source
sample-data.csv · 5 rows

Time to fill

34 days

-5 days

Offer acceptance

89%

+2.0pp

Cost per hire

$3,420

-$280

Open roles

12

-3

Hires by source

Sample data — this quarter

All figures computed from source data · Updated July 1, 2026 · sample-data.csv

Live render with sample data — upload your own export and this structure regenerates from your numbers, with the computation attached to every figure.

The recruitment KPIs that matter, defined

Time to fill
Requisition opened to offer accepted, at the median per role family. Split by stage to find the actual bottleneck.
Source effectiveness
Hires (and quality-of-hire) per source against cost per source. Usually reveals referrals are underinvested and one job board is pure waste.
Pipeline conversion
Stage-to-stage pass-through rates (screen → interview → offer → hire). The diagnosis layer for every slow search.
Stage N+1 candidates ÷ Stage N candidates × 100
Offer acceptance rate
Accepted over extended. Persistent misses point at compensation, speed, or a broken closing step.
Accepted ÷ Extended × 100
Cost per hire
All recruiting spend divided by hires, tracked by source and level.
Recruiting spend ÷ Hires

Frequently Asked Questions

Everything you need to know about using AnalyzeData.

Time to fill, pipeline conversion by stage, source effectiveness, offer acceptance, and cost per hire — the funnel, its speed, and its economics.

Export candidates and stage history from Greenhouse, Lever, or your ATS as CSV, upload, and ask for the funnel review. Conversion math computes from the actual stage rows.

Look at pipeline conversion, the pass-through rate from stage to stage: screen to interview to offer to hire. A funnel that looks slow overall usually has one weak joint, and stage-to-stage rates expose it. Then split time to fill by stage rather than reading the single total, since the bottleneck stage matters far more than the headline number when you are deciding what to fix first.

Measure source effectiveness: hires, and ideally quality-of-hire, per source set against the cost of each source. Volume alone misleads, because a cheap channel producing weak candidates loses to referrals that convert. In practice this usually reveals that referrals are underinvested while one job board is close to pure waste, letting you move budget toward the sources that actually close hires rather than just fill the top of the funnel.

Build your recruitment KPI dashboard

Upload the export you already have — the dashboard computes itself, verifiably.

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