Recruitment analytics

See where hiring work is moving—and where it is waiting.

TiLab recruitment analytics are grounded in operational records already in the ATS: jobs, applications, source labels, pipeline stages, owners, interviews, and offers. The aim is a clearer review rhythm, not an impressive chart built on missing updates.

From records to review

Make each metric answer an operating question.

A dashboard is useful when the team knows what action follows the number. Start with consistent records, review a small set of operational questions, and return to the candidate or role that needs attention.

  1. 01

    Record consistently

    Use clear stages, source labels, owners, and next actions so the underlying hiring records mean the same thing across the active team.

  2. 02

    Review the workload

    See open roles and the shape of their pipelines before deciding where recruiter time and hiring-manager attention are needed.

  3. 03

    Find waiting work

    Use stage aging, stuck candidates, and missing next actions to identify records that need a concrete follow-up rather than another report.

  4. 04

    Check the handoffs

    Review interview feedback status and offer progress to locate delays outside the recruiter’s immediate task list.

  5. 05

    Improve the records

    When a number looks wrong, return to its candidate, application, job, or source record and correct the operating data at the source.

Questions to answer

Analytics for the next recruiting conversation.

The product focuses on the questions a hiring team can act on during a regular pipeline review, using the records created by everyday ATS work.

What is active?

Review open roles and candidate distribution across the pipeline so the team has a shared view of current recruiting work.

What is stuck?

Use aging, ownership, and next-action records to find applications that have stopped moving or are waiting on a handoff.

Where did candidates come from?

Review the source labels recorded on candidates and applications while keeping the limits of manual and incomplete attribution visible.

Which step needs follow-up?

Check interview feedback and offer progress so overdue team input is connected back to the affected candidate and role.

Data quality first

A clean chart cannot rescue an inconsistent process.

Recruitment reporting inherits the meaning and gaps of the underlying workflow. Agree on stage definitions and update discipline before treating a trend as evidence for a staffing or process decision.

Make the data usable

Define the operational fields the team can maintain as part of its normal recruiting work.

  • Use stable stage meanings across active roles
  • Record a source only when the team actually knows it
  • Keep owners and next actions current
  • Close or update records when the process changes

Interpret with care

The dashboard reflects activity in TiLab; it does not establish causation or compare your team with an external market benchmark.

  • Missing updates can look like process delay
  • A source label does not prove the source caused the hire
  • Small pipelines can swing sharply between review periods
  • Operational metrics do not measure candidate quality by themselves

Common questions

Use the numbers without over-reading them.

Does TiLab provide industry benchmarks?

This page does not claim external benchmark data. The current value is a view of the jobs, candidates, stages, sources, interviews, and offers recorded inside your workspace.

Can source reporting prove which channel caused a hire?

Not by itself. TiLab can report the source labels the team records, but attribution depends on the quality and meaning of those records and may not capture every influence.

Is this a replacement for a general BI platform?

It is designed for operational recruiting review close to the ATS record. Teams needing broad financial modelling or cross-company analysis may still use a separate analytics environment.

Early access

Measure the workflow your team can maintain.

Start with one live role, agree on stage and source definitions, and see whether the resulting review points the team toward specific work. TiLab remains a free early-access beta.