AI Customer Interview Kit
Build a non-leading English research interview guide, permission-based recruitment note, anonymous evidence log and explicit time budget.
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How to use AI Customer Interview Kit
Ask about real recent behavior before describing a solution. This kit turns a segment and hypothesis into questions that can reveal workarounds, buying authority and evidence against the idea.
- Choose a narrow segment and one assumption to challenge.
- Set a realistic conversation and synthesis time budget.
- Conduct consent-based interviews, record disconfirming evidence, and evaluate the predeclared threshold.
Good to know
- The kit does not recruit people, fabricate answers, record interviews or establish consent on your behalf.
- Interview interest and compliments are distinct from purchase commitments. Recruitment and rescheduling time are not included in the time estimate.
- Estimates use floating-point arithmetic, rounded for display. Inputs must be finite nonnegative decimals at most 1 billion (whole counts at most 1 million); nonzero inputs below 0.000000001 and results outside the supported range are rejected.
- Runs locally without AI model calls, network requests or saved input. Text is limited to 8,000 characters per field and lists to 100 nonempty lines. Downloads contain your text; review them before sharing.
Research behind this workbench
These cases explain the business mechanism. The workbench is ToolJovia's independent adaptation, not a claim about the company's internal workflow or an endorsement.
Common questions
Why ask about the last completed task?
A specific past event gives more checkable information about actual behavior than a hypothetical question about a product that does not exist.
Are the interviews a demand forecast?
No. They are qualitative research. The next test may involve a specific paid offer; neither the number of interviews nor positive feedback guarantees purchases.
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