Intervool is a qualitative research repository for product teams that captures customer interviews, extracts AI-assisted insights, and connects them to personas, segments, and roadmap planning. It is aimed at founders, product managers, UX researchers, and designers who need interview evidence to inform decisions.
Intervool is a qualitative research repository for product teams that need to do more than archive interviews. It captures customer conversations, extracts structured insights, and connects those findings to personas, segments, and a roadmap that stays tied to source evidence.
The product is built for founders, product managers, UX researchers, and designers who run customer discovery or synthesis work. It accepts interview recordings, audio, or notes, then uses AI to surface pain points, opportunities, quotes, and feature requests so teams can move from raw conversations to decisions without losing the original context.
Upload customer conversations as video, audio, or notes. Intervool stores the recording, full transcript, and extracted pain points, feature requests, and opportunities, each linked back to the interview moments they came from.
Choose the output types you want from each call, such as pain points, opportunities, quotes, feature requests, or workflows, and tailor the extraction with a short plain-English prompt.
Ask questions about your interviews, themes, personas, and research gaps. Copilot answers from your own repository and includes sources so you can trace the answer back to evidence.
Turn separate findings into evidence-linked themes, then keep the story organized as themes become feature ideas and roadmap items.
Build personas and segments from real interview signals so themes and feature ideas can be reviewed by customer type, account type, or other shared traits.
Organize ideas on a roadmap board using columns such as MoSCoW priority, status, impact vs effort, or another single-select attribute you create.
Use Intervool to store customer interviews, pull out pain points and requests, and keep each finding tied to the source quote or moment so the team can revisit the evidence later.
UX researchers can run synthesis across sessions, let AI propose themes, and then refine the groupings instead of re-watching every call and building a manual summary from scratch.
Product managers can turn repeated themes into feature ideas and track them on a roadmap board with priorities, status, or effort-based columns.
Founders can ask Copilot about patterns, gaps, and persona-level needs to shape early product decisions from a small set of interviews.
Teams can cluster interviews into personas and segments so findings can be read by customer type, account type, or other shared traits rather than as a single undifferentiated set of notes.
Intervool is for founders, product managers, UX researchers, and designers running customer research, especially when interview findings need to inform product or design decisions.
Intervool goes beyond storing and tagging findings. It turns interviews into evidence-linked themes, personas, segments, and roadmap items that stay tied to the source moments behind them.
You can upload a call as video, audio, or notes, and Intervool stores the recording, transcript, and extracted insights linked back to the relevant moments in the interview.
The source content says Copilot answers questions from your own research with sources attached, including questions about themes, personas, gaps, and findings across calls.
The pricing page shows a 30-day trial and public plans for Basic, Team, and Enterprise, with Basic and Team priced monthly and Enterprise available by demo.
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