Give customer interviews a useful life beyond the transcript
Organise customer research so teams and AI assistants can find evidence without confusing a participant quote with a general conclusion.
A transcript preserves what a participant said. It does not, by itself, explain which product decision the conversation should inform.
Create a small evidence record alongside each interview and preserve the distinction between observation and interpretation.
Record the situation
Capture the participant's relevant role, the task being discussed, the setting and the research question. Use only the personal information the team needs and is permitted to retain.
Link observations to their location in the recording or transcript where available. Keep a participant's exact words separate from a researcher's paraphrase. If the transcript is uncertain, check the recording before presenting a quotation as exact.
Label interpretations
For each finding, state the evidence, the interpretation and what would strengthen or challenge it. One participant's frustration can suggest a useful hypothesis without establishing that every customer shares it.
Ask an AI assistant to surface recurring themes and contradictory examples. Have a researcher review the underlying passages before the synthesis guides a consequential decision.
Connect evidence to decisions
When the team uses research to choose a direction, link the decision back to the relevant evidence and record the remaining uncertainty. When the product changes, mark which findings may need to be revisited.
Search should work from the customer task as well as from the interview date. Someone designing an invitation flow is more likely to search for “adding teammates” than a participant's name.
The aim is to make evidence reusable without stripping away the context that makes it meaningful. A short, traceable finding is usually more useful than a confident summary that nobody can check.