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Data that doesn't lie.

Know where every hire came from.

Time-to-hire percentiles. Source attribution per hire. Stage drop-off heatmap. Recruiter scorecards. Updated live on every pipeline event. Exportable in one click. Built for the person who actually has to answer 'how's hiring going?'

See the dashboardTry a sample pipeline

Live

Refreshed on every pipeline event

< 5 sec

Data freshness — not batch, not nightly

1 click

Export to Sheets, CSV, or JSON API

Built for ops, not for slides

Answer 'where did this hire come from?' without a Slack thread.

Time-to-hire in percentiles (not lying averages), source attribution per individual hire, a stage drop-off heatmap, and recruiter scorecards — refreshed live on every event. One-click export to Sheets, CSV, or pipe to your BI stack via JSON API.

  • Sub-5s data freshness
  • Source attribution per hire
  • Sheets · CSV · JSON API export

Every metric your hiring ops lead needs. Day one.

Source attribution

Every hire traced back: which post, which channel, which referrer. No more 'we think it was LinkedIn.' You'll know.

Stage drop-off heatmap

See exactly which interview stage kills your conversion. It's usually not the one you'd guess.

TTH in percentiles, not averages

P25 / P50 / P75 / P90. Averages lie about time-to-hire — one outlier hire drags the number. Percentiles show the real picture.

Cost per qualified candidate

Spend divided by qualified count, not total applicant count. The metric you'd actually optimize your budget on.

Recruiter scorecards

Per-recruiter TTH, offer-acceptance rate, candidate satisfaction. Built for coaching, not for blame.

One-click export

Sheets, CSV, or JSON API to pipe into Looker, Metabase, or your in-house stack. No more 'let me pull that' emails.

Nobody owns the data

Your hiring data lives in four systems. Nobody can join it.

Find your bottleneck this week. Fix it this week.

Live drop-off heatmap shows which interview stage is killing your conversion. Not next quarter — right now.

The industry today

The ATS has the pipeline. The job board has the impressions. The recruiter has the spreadsheet. Finance has the spend. Ask 'what's our time-to-hire?' and you trigger a 3-day Slack thread. Ask 'which channel is most cost-effective for senior engineers?' and you get silence.

The data exists. Nobody owns the join. So decisions get made on vibes — or not made at all.

Why we built this

Because UnoJobs owns the post, the candidate, the interview, and the hire signal end-to-end, we can answer those questions without joins. We built the dashboard for our own team first. Then realized every customer wanted the same thing.

See it work

Three views from the same data.

Same hiring pipeline, three lenses your team needs every week.

Live dashboard preview

Live

Active jobs

0

+2

Time to first applicant (P50)

0

-18%

Qualified per hire

0

-1.1 (good)

Hires

0

+3

Tabs auto-advance every 5s · click any tab to jump

What analytics-driven hiring actually saves

 UnoJobsAlternative
Time to compile weekly hiring report0 min (always live)4-6 hrs (recruiter compiles from sheets)
Time to spot a hiring bottleneckLive — drop-off heatmap updates per eventQuarterly review (or never)
Insight time (data → decision)Same day1-2 weeks (review cycle)

Included in all paid plans. Free trial includes 30 days of full analytics access.

Frequently asked questions

More from UnoJobs for employers

Keep exploring

Other pages India hiring teams read after this one — comparisons, features, and segment playbooks.

See your pipeline. Honestly.

Full analytics on every plan. Free 30-day trial. No card, no consultant, no 'let me get back to you.'

See the dashboard