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Reports turn the activity on your pipeline into numbers you can act on. They read from the same records you work every day, so figures match what you see in the pipeline. No separate data warehouse or export required.

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What you can measure

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Pipeline health

Pipeline health shows how many applications sit in each stage per job, so you can see bottlenecks before they become stale candidates.

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Hiring velocity

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Source and outcome

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Reading a report

1

Choose a report

Open Reports in the sidebar and select the report type.
2

Apply filters

Filter by job, department, date range, or owner to scope the view. A narrow filter is usually more useful than a workspace-wide aggregate.
3

Interpret the data

A number is a prompt to look, not a verdict. High age-in-stage means you should look at what is blocking those applications — it does not mean those candidates are unqualified.
4

Act on the record

Open the underlying applications from the report view. A report is read-only; changes happen on the pipeline.
Reject with a consistent reason on every application. Reporting is only as useful as the reasons behind it — clean reasons make drop-off analysis trustworthy. Train every recruiter to use the same set of rejection reasons rather than free-form text.

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Export and API

For custom analysis or dashboards outside Harly, use the API:
See API overview for pagination, scopes, and available filters.
Candidate data is personal data. Export only what is necessary for a specific analysis, store exports securely, and delete them when the purpose is complete. See privacy for the full retention workflow.

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Next steps

Candidates and pipeline

The records reports are built from.

API overview

Export data programmatically for custom dashboards.

Privacy

Handle exports and retention compliantly.

Automations

Automate actions triggered by pipeline events.