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Transform customer feedback into research intelligence

AI workspace designed for UX researchers to organize, analyze, and act on feedback.

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Backed by the best

Customer feedback is scattered and overwhelming

UX researchers drown in feedback from Zoom recordings, survey responses, support tickets, app reviews, and usability sessions. You spend hours manually tagging comments in spreadsheets, searching through transcripts for specific quotes, and trying to connect insights across different research methods. Critical user pain points get buried in the volume, and stakeholders ask for insights you know exist but can't quickly locate.

  • Manually categorizing hundreds of survey responses and interview quotes
  • Searching through multiple Zoom recordings to find specific user quotes
  • Creating research reports by copy-pasting from scattered spreadsheets
  • Missing patterns because feedback lives in different tools and formats

Turn feedback chaos into research clarity

  • Automatically organize and tag customer feedback from surveys, interviews, and app reviews
  • Generate insight reports with source citations and user quotes in minutes
  • Connect feedback patterns across different research methods and time periods
  • Build searchable knowledge base that remembers every user insight and research finding

How it works

  1. 01

    Upload feedback sources

    Connect survey tools, upload interview transcripts, import app reviews and support tickets into one workspace.

  2. 02

    AI organizes automatically

    Brainvolt categorizes feedback, identifies themes, and tags insights while preserving original context and sources.

  3. 03

    Generate actionable reports

    Create stakeholder presentations, research summaries, and prioritization frameworks with one conversation.

What Brainvolt brings to your workflow

Feedback Intelligence Compounds

AI learns your research taxonomy and tagging preferences. Every feedback session improves categorization accuracy. Previous research findings enhance analysis of new feedback, building institutional knowledge over time.

Contextual Research Analysis

AI draws insights from connected survey data, interview transcripts, app reviews, and usability recordings in one response. Source citations link back to original feedback for credibility and follow-up.

Research Team Collaboration

Share AI conversations with team members. Junior researchers see how senior researchers analyze feedback. Multiple researchers can contribute to the same analysis thread, preserving team thinking and methodology.

Research Tool Integrations

Pre-built connections to Google Sheets, surveys, and file storage. On-demand integrations can connect UserVoice, Zendesk, or any feedback platform through guided conversation. Custom tools become reusable across projects.

Frequently asked questions

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Get things done.

Try the AI workspace that keeps context and helps you turn conversation into action.

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