Write down the five questions leadership asks about hiring, then make each vendor answer them live in their product on sample data. Check whether the numbers are configurable to your definitions, whether history survives process changes, and whether raw data can be exported or queried. Dashboards look similar; underlying data models do not.
Test the five questions your leadership actually asks. For most teams those are: how long roles are taking, where candidates drop out, which sources produce hires that stay, how much each hire costs, and what the current pipeline supports for the next quarter. Ask each vendor to produce those five answers live rather than showing a dashboard gallery. Then interrogate the definitions. Does time to fill start at requisition approval or at job posting, and can you change it. Does a candidate who applies twice count once. Does a rejected candidate later rehired appear in both funnels. Definitions determine whether a number is useful, and they vary between systems in ways that make cross-vendor comparison of screenshots meaningless. Check the answers against [the metrics your team already reports](/recruitment-metrics).
Look at what happens when you ask something the dashboard was not designed for. Strong reporting lets you build a view yourself, filter on your own fields, group by dimensions such as department, location or recruiter, and save it for others. Weak reporting offers a fixed set of charts and an export button. Ask specifically whether custom fields you create appear as reportable dimensions, because that single answer separates the two categories. Then ask about history: when you change a pipeline stage or rename a department, do past records keep their original context or does the historical report change retroactively. Systems that rewrite history make trend analysis unreliable, which you will only discover a year later when a number moves for no operational reason.
Treat export and API access as part of the reporting evaluation rather than a separate technical topic. Ask three questions. Can a normal user export the underlying records, not just the rendered chart, and in what format. Is there API access to hiring data at your tier, or is it reserved for higher tiers or charged separately. Are there rate limits or field restrictions that would prevent you syncing into a warehouse alongside other business data. Many organisations eventually want hiring metrics next to finance and headcount data, and the systems that make that easy are noticeably easier to live with. Confirm what happens at contract end too, since export rights on exit belong in the agreement rather than in a support conversation later.
Whoever will build and read the reports, which is often not the person leading the purchase. Give the recruiting operations person or analyst hands-on access during the trial and a specific brief: reproduce last quarter's hiring report in this system. That exercise finds gaps no demo will, because it collides with your real definitions, your real data quality and your real stage names. Also include the person who presents to leadership, since a report that is technically correct but requires ten minutes of explanation will not survive contact with an executive meeting. Weight the outcome properly on the scoring sheet. Reporting is the capability teams most often defer during evaluation and most often complain about afterwards.
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