Recruitment analytics for mid-sized Canadian tech teams

Funnel performance you can measure end-to-end.

Track time-to-hire and candidate dropout rate at each stage, link sourcing channels to outcomes, and get benchmark-backed AI-assisted insights for compliant recruitment decisions.

Stage dropout
Benchmarked
Time-to-hire
Stage-aware
Source ROI
Outcome-linked

What you’ll measure

A recruitment funnel view designed for reporting clarity, faster decisions, and measurable improvements.

  • Sourcing channels to funnel outcomes

    See which sources generate qualified candidates and where they drop off.

  • Time-to-hire by stage

    Identify bottlenecks across screening, interview loops, and offer delivery.

  • AI-assisted insights you can explain

    Benchmark against industry-specific hiring trends to prioritize experiments.

Start with stage definitions, then benchmark.

For a clear view of funnel metrics, review the stage definitions and reporting approach.

View metric definitions

AI-assisted insights are designed to support, not replace, recruitment best practices and human decision-making.

How we define metrics

Every metric is calculated from configured stage dates, so your recruitment funnel is measurable end-to-end. We track stage-level time-to-stage and stage-by-stage dropout to pinpoint where candidates stall or exit.

Time-to-stage (TTxS)

The elapsed time between the configured start and end dates for each funnel stage. If a candidate does not reach a later stage, they remain counted up to the last stage date.

  • Consistency: stage dates are your source of truth.
  • Comparability: used for cross-channel and cross-role benchmarking.

Stage dropout rate

The share of candidates who enter a stage but do not progress to the next stage, based on whether they have stage completion dates. This isolates where the funnel leaks.

  • Stage-by-stage: measured for each transition, not averaged globally.
  • Actionability: used to prioritize sourcing and process fixes.

Want a concrete walkthrough? Start with our benchmarking and funnel diagnostics.

AI summaries are hypotheses. They help guide investigation into recruitment funnel metrics, but they do not guarantee outcomes.

For decisions, validate signals with your ATS data, stage definitions, and real hiring outcomes.

Read the guidance articles

Contact funnelanalyti.sbs

Reach out for recruitment funnel analytics, candidate sourcing channel insights, and dashboard benchmarking for mid-sized Canadian tech teams.

Address
200 King St W, Suite 2500
Toronto, ON M5H 3T4, Canada

We typically respond within 1–2 business days.

Featured articles

Recruitment funnel analytics for mid-sized Canadian tech teams. Explore how to improve time-to-hire, reduce dropout rate, and make decisions with trustworthy sourcing data.

Benchmarking

Canadian Tech Recruitment Funnel Benchmarking: How to Compare Time-to-Hire and Dropout Rate by Stage

A practical way to standardize funnel reporting and spot where candidates are stalling across sourcing, screening, and interviews.

Attribution

Attribution Without Guesswork: Matching Sourcing Data to Funnel Outcomes

Link channel signals to stage outcomes so you can compare applicant quality, not just volume.

Optimization

Reducing Time-to-Hire with AI-Driven Stage Analytics: A Practical Funnel Optimization Plan

Use stage-level metrics to prioritize changes that actually shorten the path from application to offer.

Dropout diagnostics

Candidate Dropout Diagnostics: Identifying Where Applicants Fall Off and Why

Find the bottlenecks behind dropout rates, then measure impact as you refine each funnel stage.

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