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Turn customer feedback into research intelligence

AI workspace designed for UX researchers analyzing customer feedback at scale

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Backed by the best

Customer feedback analysis is overwhelming

You're drowning in user interviews from Zoom recordings, survey responses from Typeform, support tickets from Zendesk, and app reviews from multiple platforms. Each source lives in isolation while stakeholders demand unified insights. You spend more time wrestling with spreadsheets and transcription tools than uncovering user pain points. Critical feedback patterns get buried in the noise, and research findings arrive too late to influence product decisions.

  • Manually transcribing hours of user interview recordings from Zoom
  • Copying feedback from app stores, surveys, and support tickets into spreadsheets
  • Missing patterns because data is scattered across different platforms
  • Spending days creating reports when stakeholders need insights immediately

Research intelligence that compounds

  • Process interview recordings, surveys, and reviews into unified insights with source citations
  • Build custom analysis frameworks that improve with every research project
  • Generate stakeholder reports and presentation materials from raw feedback data
  • Create automated workflows that flag urgent issues and track sentiment trends

How it works

  1. 01

    Connect feedback sources

    Upload interview recordings, connect survey tools, and import customer reviews into your AI workspace

  2. 02

    Analyze with context

    AI processes feedback using your research frameworks while building knowledge from every analysis

  3. 03

    Generate insights

    Create reports, presentations, and actionable recommendations that stakeholders can immediately use

What Brainvolt brings to your workflow

Contextual Research Intelligence

AI draws from connected interview recordings, survey data, support tickets, and user reviews in one analysis. Cites exact sources and understands different research contexts and methodologies you use.

Compounding Knowledge Base

Every customer feedback analysis builds your research repository. Patterns identified once become reusable frameworks. AI learns your research style and improves analysis quality over time.

Research Execution Engine

Builds stakeholder reports, creates presentation slides, generates user journey maps, and develops research recommendations. Conversation turns into shipped deliverables that influence product decisions.

Feedback Source Integration

Pre-built connections to survey platforms, video conferencing tools, and analytics dashboards. Create custom integrations for proprietary feedback systems through simple conversation.

Frequently asked questions

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