Analyze user interviews for product gaps in minutes

Upload or paste your user interview transcripts → uncover product gaps, unmet needs, and feature opportunities your roadmap is missing

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Example insights from user interviews

Onboarding Drop-Off
"I spent like 20 minutes trying to figure out how to connect my data source. I eventually just gave up and came back the next day."
Missing Bulk Action Features
"Every time I have to update more than ten records I'm doing it one by one. It's honestly the most frustrating part of my whole workflow."
No Offline or Low-Connectivity Mode
"I travel a lot for work and there are dead zones everywhere. The app just breaks completely when I lose signal — that's a dealbreaker for me."
Reporting Lacks Customization
"My manager always wants a slightly different cut of the data and I can never export it the way she needs. We end up rebuilding everything in a spreadsheet anyway."

What teams usually miss

Gaps hidden in one-off comments

Product teams often dismiss low-frequency feedback as noise, missing critical unmet needs that don't repeat loudly but consistently block user progress.

Workarounds that signal missing features

When users describe manual steps or third-party tools they use alongside your product, they're revealing gaps your roadmap hasn't addressed yet.

Patterns across different user segments

A gap that seems minor for power users can be a complete blocker for new or less technical users, and manual review rarely connects those dots across segments.

Decisions you can make from this

Prioritize which missing features to build first based on how frequently a gap appears across interviews with your highest-value user segments.

Reposition or rewrite onboarding flows by identifying exactly which steps users describe as confusing, skipped, or abandoned in their own words.

Kill or deprioritize roadmap items that interviews reveal solve problems users no longer have or that they've already resolved with workarounds.

Define your next discovery sprint focus by surfacing the top three unmet needs that cluster across multiple independent user interview sessions.

How it works

  1. 1Upload or paste your data
  2. 2AI groups similar feedback into themes
  3. 3Each insight is backed by real user quotes

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