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·Updated April 2026

AI Recruiting Vendor Reference Call Questions

Vendor-provided references are screened for satisfaction. They are not selected to give you a balanced view. This does not make them useless — it means you need questions that go past the topics the vendor has prepared them for. These 30 questions are designed to surface integration friction, implementation reality, support gaps, and honest hindsight from customers who have been on the platform long enough to know what actually happened.

Why this matters

A reference customer who answers 'it was great, no problems' to every question is not being deceptive — they were never asked the questions that would surface friction. These questions move the conversation from endorsement to evidence.

How to use this tool

Send the reference customer a brief agenda before the call — not the questions, just the topic areas. This gives them time to prepare honest answers rather than being caught off guard. On the call, use the numbered questions as a guide, not a script. Follow up on anything specific. Take notes on exact language — 'they were slow to respond' is more useful than 'support was fine.'

The Tool

9 sections

Opening Context (2 minutes)

Q1: Can you briefly describe your organization — company size, the ATS you run, and what types of roles you use the platform for?

Q2: How long have you been on the platform? Are you still using it actively?

Implementation and Onboarding

Q3: How long did implementation actually take — from contract signing to first production interview?

Q4: What was the biggest source of delay during implementation?

Q5: Who owned the implementation on your side — IT, HR, or a third party? How much internal resource was required?

Q6: Did the vendor's stated implementation timeline match the actual timeline?

Q7: What would you have done differently during implementation if you knew then what you know now?

ATS Integration

Q8: How well does the ATS integration actually work? What data is written back to the ATS, and does it land correctly?

Q9: Have you experienced any ATS integration failures or data errors after go-live? How were they handled?

Q10: Has the integration required updates or fixes since go-live? What triggered those?

Q11: Is the trigger logic — how interviews are sent — working as expected? Any issues with interviews firing incorrectly or not at all?

Candidate Experience and Completion Rates

Q12: What completion rate are you seeing across your main role types?

Q12a: How does the platform schedule interviews with candidates — does it book them live on a call, or does it send a link for candidates to complete later? Have you seen a difference in completion rates between those two methods?

Q12b: Have you used the multilingual capability? Does it allow candidates to switch languages mid-call without it being pre-configured, or does the language need to be set ahead of time?

Q12c: Have you used the ID verification feature? What was the candidate experience like — and did you see any friction or drop-off as a result?

Q13: Have you had candidate complaints about the interview experience? What were they?

Q14: Have you had any situations where candidates could not complete the AI interview due to accessibility or technology issues?

Q15: Has the candidate experience on the platform affected your employer brand or candidate survey scores in any measurable way?

Platform Quality and Reliability

Q16: Have you experienced platform downtime or reliability issues? How frequently?

Q17: Have you needed to roll back to manual screening at any point because the platform was unavailable?

Q18: Have there been product changes or updates that broke something in your workflow?

Support Quality

Q19: How responsive is support when you submit a ticket? Any examples of issues that took longer than expected to resolve?

Q20: Do you have a named account manager? How would you rate that relationship?

Q21: Has the vendor proactively communicated about product changes, API updates, or ATS compatibility issues that affected you?

Compliance and Legal

Q22: Have you faced any compliance questions from your legal team or HR leadership about the AI interview — bias, consent, EEOC?

Q22a: Has the vendor ever triggered a fraud alert for a candidate in your account? How was that handled — and how confident are you in how the platform handles that situation?

Q22b: Have you had to walk a candidate through opting out mid-interview? Was that process clear and easy, or did it require intervention from your team?

Q23: Has the vendor been able to support compliance documentation requests?

Q24: Have you had any candidate disputes or escalations related to the AI interview outcome?

ROI and Value

Q25: Is the platform delivering the ROI you expected? In what way?

Q26: Where has it delivered less value than you expected?

Q27: What is the primary use case you have settled on — and has that use case changed from what you originally purchased the platform for?

Closing Hindsight

Q28: If you were making the buying decision again today, would you choose the same vendor?

Q29: What would you tell someone evaluating this vendor to verify — something they probably will not be shown in a demo?

Q30: Is there anything else you think I should know before making a decision?

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