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Job analytics report

Job pipeline at a glance: how many roles are open, filled, closed; how long they take to fill; what your time-to-close (TTC) curve looks like.

Where to find it
Main menu → Reports → Jobs tab
Who can use it
Recruiters, hiring managers, anyone with access to reports
Direct URL
https://app.nextal.com/apps/reports?tab=jobs

Every chart on this page respects the date filter at the top right (Last 365 days / Last 30 days / Last 7 days / custom range). KPI cards that mention a fixed window like “365d” keep their own window regardless — they’re always-on benchmarks. Click Export PDF at the top to download the current view.

Section 1 — Volume & status

Twelve KPI sub-values + four monthly trend charts. Tells you whether you’re creating, filling, and closing jobs at a healthy pace.

KPI cards: Total / 365d / 30d / 7d (× 3 metrics each)

Four KPI cards (Total / 365d / 30d / 7d), each split into Opened / Filled / Closed sub-metrics

What they show. Four time windows (all-time, last 365 days, last 30 days, last 7 days), each with three sub-metrics:

  • Opened — jobs created in this window.
  • Filled — jobs closed with reason “Filled” in this window.
  • Closed — jobs closed for any reason in this window (filled, cancelled, on-hold).

How to read them. Compare Opened vs Filled for the same period — if you open 20 but only fill 5, demand is outpacing supply. Closed vs Filled tells you how many of your closures were positive outcomes vs cancellations.

Trend chart: Jobs created per month

Jobs created per month — monthly stacked bar chart split by job type

Monthly line showing new job creation. Useful for spotting hiring-spree months vs slow months.

Trend chart: Jobs filled per month

Jobs filled per month — monthly stacked bar chart of successful hires

Monthly line of filled jobs. Lag behind the created line by your typical TTC.

Trend chart: Jobs closed per month

Jobs closed per month — monthly stacked bar chart of closures

Monthly line of all closures (filled + cancelled + on-hold). Useful for capacity planning — closure rate should approximate creation rate over a longer window.

Trend chart: Combined

Job per status per month — stacked bar chart combining created, filled, closed by status

All three lines (created, filled, closed) overlaid. The visual gap between “created” and “filled” is your in-flight inventory; if that gap is widening, your team is taking on more than it’s shipping.

Section 2 — Breakdown

Chart: Job by status

Job by status — horizontal bar chart, one bar per status

What it shows. Horizontal bar chart, one bar per job status (Open, Filled, On hold, Cancelled, etc.). Bar length = how many jobs are currently in that status.

Question it answers. “What’s the live state of the desk?” The shape tells you if you have a big backlog of Open requisitions.

Chart: Job by template

Job by template — bar chart, one bar per reusable job template

What it shows. One bar per job template. Templates are the reusable job blueprints your team builds (e.g. “Senior React Developer”, “Daily Worker - Factory”). Bar length = count of jobs derived from each template in the selected date range.

Question it answers. “Which roles are we hiring for most?” A long tail of one-offs vs a few dominant templates tells you where standardization could speed things up.

Section 3 — Time to close (TTC)

How fast you actually fill jobs — measured in days from creation to closed-filled.

KPI row: Average / Median / Min / Max TTC

Four TTC KPI cards: Average / Median / Min / Max time-to-close in days

What they show. Four headline KPIs about how long jobs actually take to fill.

  • Average TTC — arithmetic mean of TTC over filled jobs in the selected range. Sensitive to outliers (one stuck job at 200 days drags it up).
  • Median TTC — the middle value when filled jobs are sorted by TTC. Less sensitive to outliers; use this as your “typical” benchmark.
  • Min TTC — the fastest fill in the range. A min of 2 days could mean a real fast hire — or a job that was created late, after the hire was already decided.
  • Max TTC — the slowest fill. Useful for finding the outlier and seeing why it took so long.

Chart: TTC trend

Time to Close trend — dual-line chart of average and median TTC over time

What it shows. A dual-line chart: average and median TTC over time (typically monthly). X-axis is months; Y-axis is days.

Question it answers. “Are we getting faster or slower?” A downward trend means your pipeline is improving; an upward trend means jobs are getting harder to fill.

How to read it. When average and median diverge (average climbs but median stays flat), you have a few very slow outliers dragging the average. When both rise together, the whole pipeline is slowing.

Chart: TTC distribution

Time to Close distribution — histogram of filled-job durations bucketed in days

What it shows. A histogram. X-axis is TTC buckets (0-10 days, 10-20 days, …); Y-axis is how many filled jobs fell in each bucket.

Question it answers. “What does a normal hire look like in terms of time?” The peak (mode) of the histogram is your typical fill time.

How to read it. A tight peak around 30 days = predictable pipeline. A long right tail = many slow outliers. A bimodal distribution (two humps) often means two different kinds of jobs hidden together — e.g. fast hourly-worker hires and slow specialist roles. Splitting reports by template can confirm.