AnalyticsFor recruiters2 min read

Slicing Analytics by job, date, and combinations

The Analytics filters answer specific questions when combined. Here are the most useful filter recipes and what each one tells you.

Key takeaways

  • Filter by Job Position to compare roles. Filter by date to compare time periods.
  • Combine for precise questions: "How is Role X doing this quarter vs last?"
  • Bookmark URLs of common filter combinations — the URL preserves filter state.
  • Compare Average Score and Completion Rate together — one without the other can mislead.

Analytics is most useful when you ask a specific question. The filter system is how you do that. Here are recipes that answer common questions.

Question: How is each role performing?

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Question: Did our changes this month help?

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Question: Why is this hiring sprint slow?

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Question: Are interviews getting better over time?

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Pitfalls

  • Comparing across roles by raw score is risky — scores are calibrated per role-archetype, so an 80 in Sales isn't equivalent to an 80 in Engineering.
  • Comparing too-short time windows introduces noise — a 7-day window of 6 interviews tells you very little.
  • Reading Average Score without Completion Rate — a high average could mean only the best candidates finished. Always read them together.

Frequently asked questions

Can I export Analytics data?

Not directly from this page. The team has CSV export on the roadmap. For now, screenshot the page for reporting — or contact your account manager for a custom data export.

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