Case study · Recruiting

Recruitment Funnel Analytics

Where candidates drop out of the hiring funnel, which stage takes the longest, and what happens to time to hire when the slowest stage gets attention.

24%
faster time to hire (original case study)
8%
higher offer acceptance (original case study)
16 days
spent in interviewing, the longest stage

Where candidates drop off

Candidates at each stage

The biggest absolute drop is application to phone screen, but the interview to offer step is where qualified people stall. Streamlining interviews was the recommended lever.

Conversion between stages

Where the time goes

Average days in each stage

Interviewing takes 16 of the 46 days. Automating scheduling and widening interviewer availability shortens it most.

Average time to hire over six months

Approach

Map the pipeline end to end, from application to hire, and track conversion and time in stage by role, source and location. Then fix the slowest, leakiest stage first instead of pushing more candidates in at the top.

The original case study reports that this work cut time to hire by 24% and lifted offer acceptance by 8%. Those outcome figures are from the original write-up; the charts above use its sample data.

About the data. Charts use the sample data published with the original dashboard pages (not client data). The 24% and 8% outcomes are carried over unchanged from the original case study text. Two versions of the stage-time and trend data existed on the old site; this page uses the later interactive-dashboard version.

Rebuilt from:

  • interactive_cases_refined/recruitment_funnel_case.html (stage counts, conversion)
  • interactive_dashboards/recruitment_funnel_dashboard.html (days in stage, time-to-hire trend)
  • Index card text: “cut time-to-hire by 24% and boosted offer acceptance by 8%”
  • Live Tableau version: Recruitment Funnel on Tableau Public

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