Recruitment Analytics

Recruitment analytics use recruiter-controlled Recruitment Status and recorded status history. They do not reinterpret AI Recommendation as a pipeline stage.

Current Funnel

The funnel summarizes candidates in the job, including:

• Total candidates.
• Active candidates.
• Candidates pending review.
• Hired candidates.
• Rejected candidates.
• Count and percentage for each Recruitment Status.

These metrics represent current candidate state.

Historical Analytics

When status history is available, Veritik can report:

• Tracked status changes.
• Changes during the last 7 days.
• Changes during the last 30 days.
• Hiring rate.
• Rejection rate.
• Candidates stagnant beyond the configured threshold.
• Average time spent in stages with sufficient history.
• Common stage transitions.

Reading the Results

Historical analytics begin from the time status-history recording was introduced. Earlier status decisions may not have an event record and therefore may not appear in transition-based metrics.

Small sample sizes can produce unstable percentages. Interpret analytics together with job age, candidate volume, team process, and operational context.

Refresh Behavior

Analytics refresh after successful status changes. If data cannot be loaded, candidate updates can still be reviewed directly in the pipeline and activity timeline.

Responsible Use

• Use analytics to identify workflow patterns and follow-up needs.
• Do not infer candidate quality from time in stage alone.
• Investigate process context before acting on a metric.
• Keep AI evaluation and recruitment outcomes analytically distinct.

Continue to Plans and Quotas for workspace usage rules.