Stop flying blind
See where every hire actually came from.
Time-to-hire, source ROI, drop-off, interview-to-offer rate, channel cost-per-qualified-candidate. Updated live, exportable, and built for ops people who hate dashboards that lie.
Live
Refreshed on every event
8
Stock dashboards out of the box
CSV / Sheets
One-click export
Trusted by hiring ops teams at
Every metric a hiring ops lead asks for, on day one.
Source attribution
Every hire is traced back through the funnel: which post, which channel, which referrer. No more 'we think it was LinkedIn'.
Drop-off heatmap
See exactly which interview stage is killing your conversion. Usually different from what you'd guess.
TTH percentiles, not averages
25/50/75/90 percentiles so you know your tail. Average time-to-hire lies; percentiles don't.
Cost per qualified candidate
Divides ad spend by qualified count, not total applicant count. The metric you'd actually optimize on.
Recruiter scorecards
Per-recruiter TTH, offer-acceptance rate, candidate-NPS. Use it to coach, not to punish.
Sheets & API export
Pipe everything to your existing dashboards. No more 'let me pull it from the system' emails.
The problem
Most hiring teams can't answer 'how did this hire happen?'
31% lower cost-per-qualified-candidate
Customers using analytics weekly, first quarter on platform vs prior quarter on previous tools.
The industry today
Hiring data lives in four systems: the ATS, the job-board admin panel, recruiter spreadsheets, and someone's WhatsApp. Asking 'what's our average TTH' triggers a 3-day Slack thread. Asking 'which channel is most cost-effective for senior engineers' triggers silence.
That isn't because the data doesn't exist — it's because nobody owns the join. The recruiter knows the candidate; the finance team knows the spend; nobody knows both.
Why we built this
Because the platform owns the post, the candidate, the interview, and the hire signal end-to-end, we can answer those questions without joins. Built it for our own team first — then realized every customer wanted it.
See it work
Three views from the same data.
Same hiring pipeline, three lenses your team needs every week.
Live dashboard preview
Active jobs
12
+2
Time to first applicant (P50)
3.2 hrs
-18%
Qualified per hire
4.8
-1.1 (good)
Hires
7
+3
What analytics-driven hiring actually saves
| UnoJobs | Alternative | |
|---|---|---|
| Time to compile weekly hiring report | 0 min (always live) | 4-6 hrs (recruiter compiles from sheets) |
| Cost per qualified candidate (after 90 days) | 31% lower (avg) | Baseline |
| Insight time (data → decision) | Same day | 1-2 weeks (review cycle) |
Included in all paid plans. Free trial includes 30 days of full analytics access.
Frequently asked questions
See your hiring pipeline, honestly.
Free 30-day trial of full analytics. No card, no setup, no consultant.