The Challenge
Product feedback is broken. Polls give you shallow data. Interviews take weeks to schedule and longer to synthesize. Written surveys feel like homework, so users give you the minimum. You end up building on guesses instead of real understanding.
The worst part: written feedback strips out everything that matters. Emphasis, hesitation, excitement, frustration. The words "it's fine" mean completely different things depending on how someone says them.
The Approach
Voice is the fix. People are more honest when they talk than when they type. They think out loud, go on tangents, say the thing they wouldn't bother writing down. Three minutes of someone talking gives you more signal than a week of waiting for written comments.
The pipeline is simple: create a review link, share it, users record themselves talking, AI transcribes and organizes, you get an email with structured insights. No scheduling, no synthesis bottleneck, no overhead.
The Solution
A link-based feedback tool. No accounts for reviewers, no onboarding friction. Share a URL, they click record, they talk. Done.
AI handles the hard part: transcription, sentiment analysis, theme extraction, priority ranking. The output is structured enough for LLMs to take action on directly. You can feed it into your sprint planning, your product roadmap, your design reviews.
Built for compounding iteration. Run dozens of reviews per sprint without extra overhead. Keep your finger on the pulse instead of checking it once a quarter.
The Outcome
Feedback collection that feels like a conversation, not a form. Users actually enjoy giving it because talking is easier than typing. The signal quality is dramatically higher because verbal emphasis carries context that checkboxes miss.