Test support during the evaluation rather than reading the service description. Raise a real question through the normal support channel and time the response, ask what is included at your tier, check whether help is available in your working hours, and ask references how their last three tickets were resolved.
Use the trial period as a live test. During a proof of concept you are entitled to raise questions, so raise them through the standard support channel rather than through your sales contact, and record how long each takes to resolve. Ask something genuinely non-trivial, such as how to configure a permission scenario or why a specific resume parsed incorrectly, since a simple question tells you nothing about depth. Note whether the first reply is a link to a help article, a request to explain again, or an answer. Then ask a follow-up and see whether the thread stays with the same person. Support behaviour during evaluation is usually the best version you will see, so treat it as an upper bound rather than an average.
Four things, in writing. Coverage hours and time zones, which matter more than they appear if your recruiting team works outside the vendor's core region. Channels available at your specific tier, since chat and phone are often bundled higher up while lower tiers are email only. Response commitments by severity, and importantly whether they cover first response or resolution, because those are very different promises. Escalation path, meaning who you contact when a ticket stalls and what triggers a review. Also check what onboarding is included at your tier versus charged separately, since implementation help is a common area where expectations and contracts diverge. Read these alongside [the pricing tiers themselves](/ats-pricing), because support level is frequently the real difference between adjacent tiers.
Fast acknowledgement, a named owner, and an answer that addresses the underlying situation rather than the literal question. Good teams tell you when something is not possible instead of leaving a ticket open, and they proactively flag when your configuration is likely to cause a problem later. Documentation quality is a strong proxy: a searchable, current help centre with real screenshots usually indicates a support organisation that invests in reducing ticket volume rather than managing it. Community forums and release notes are similar signals. Where support is weak, you generally see long first-response times, tickets passed between people, answers that restate documentation, and a pattern of routing you back to your account manager, who then becomes the bottleneck for operational problems.
More than most teams give it, particularly if you have no internal system administrator. A recruiting team without dedicated HR operations support depends on the vendor for configuration changes, integration issues and data problems, and a slow response translates directly into hiring delays. Weight it explicitly on your scoring sheet rather than treating it as a tiebreaker, and score it from evidence: your own trial tickets, reference calls, and the written terms. Where two products are functionally close, support quality and data portability are usually the two factors that determine which decision you are still happy with in year three. Confirm during [implementation planning](/ats-implementation) exactly who you contact for what, and get the escalation contact before you go live rather than during your first incident.
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