How to hire a customer support rep.
Support is usually the first hire founders under-specify — "friendly, organized, good communicator" describes everyone’s CV. But great support people are judgment machines: they decide when to refund, when to escalate, and when a ticket is actually a product bug worth flagging.
Support is also written work. Most screening you need can happen in writing: how a candidate structures a reply to an angry customer tells you more than an hour of pleasant conversation.
What to test — and what proof looks like
Decide these before you read a single application. Each requirement below pairs with the evidence that would actually convince you — screening becomes checking claims against a list instead of comparing vibes.
- Writing that de-escalates and resolves. A reply they have written (or write for you) to a frustrated customer: clear structure, ownership of the problem, a concrete next step — without over-promising.
- Judgment on edge cases. Stories of when they broke the script — a refund outside policy, an escalation others missed — and how they decided.
- Feeds insight back to the product. Evidence they tracked patterns and changed something upstream: a help-center article that killed a ticket category, a bug report that got fixed.
- Sustainable pace at your volume. What their actual ticket volume and channels were. Handling 15 thoughtful tickets a day and 150 templated ones are different jobs.
Interview questions that test claims
Generic questions get rehearsed answers. These are anchored in the claims candidates in this role typically make — easy to answer if the claim is true, awkward if it isn't. (The method is covered in our interview questions guide.)
- A customer demands a refund your policy doesn’t cover, and they’re loud about it. Walk me through your actual reply.
- What ticket pattern did you spot at your last job, and what did you do about it?
- When do you escalate instead of resolving yourself? Give me a real example.
- What did you change — a macro, an article, a process — that reduced repeat tickets?
Red flags
- Sample replies are wordy apologies with no concrete next step.
- Never disagreed with a policy or flagged a product problem.
- Talks only about ticket counts, never about what the tickets meant.
Running this at 200-applicant scale
This process works manually for a dozen applicants. At real posting volume, the testing is the bottleneck — which is the part BestHire automates. Publish your role through a JD built as a filter, and every fit applicant takes a 5-minute AI interview probing the claims on their own CV. You get a ranked shortlist where every verdict cites the CV line and the interview quote — you read the evidence and decide. See how it works.
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