Transcript
Raw data from each interview. The full conversation text, ready for reference or deeper analysis.
Raw dataUser Research Analysis
Transform user interviews into actionable insights
Automate user research analysis through a three-step process: upload interviews + hypotheses → AI maps evidence → generate aggregated insights report. Save hours of manual synthesis.
Hypothesis Validation Summary
Hypothesis Results
Confirmed
Users need better collaboration tools for remote teams
10/12 participants
Rejected
Price is the main blocker for adoption
2/12 participants
Key Insights
Remote collaboration is a critical pain point
Workflow automation is highly valued
What You Get
Three Layers of Output
From raw data to synthesized insights—everything you need to share findings
Per-User Report
Analysis of a single session. Hypothesis validation, evidence mapping, and findings for each participant.
Per-interviewAggregated Report
Synthesis across all sessions. Key themes, validated hypotheses, and actionable recommendations from your entire cohort.
Cross-cohortWhy Hinto
Automate User Research Analysis
Stop spending hours manually synthesizing interview data. Let AI map evidence to hypotheses and generate comprehensive insights reports automatically.
Aggregate Insights Automatically
Generate comprehensive insights reports from all interviews in minutes. Hinto synthesizes findings across participants, highlighting key themes, validated hypotheses, and actionable recommendations. Turn hours of manual analysis into automated, structured summaries ready to share with stakeholders.
Aggregated Findings - 12 Interviews
Need collaboration tools
10/12 confirmed
Want mobile access
5/12 mentioned
Price is blocker
2/12 rejected
Automate Evidence Mapping
AI analyzes each interview individually, mapping evidence back to your hypotheses. For every participant, see which hypotheses were confirmed, mentioned, or rejected. No more manual note-taking or spreadsheet tracking. Upload your interviews and let Hinto identify patterns across conversations.
Interview Analysis - Sarah (Participant 3)
| Hypothesis | Status | Evidence |
|---|---|---|
| Need collaboration tools | Confirmed | "Our team struggles with async communication daily" |
| Want mobile access | Mentioned | "Would be nice to check on mobile sometimes" |
| Price is blocker | Rejected | "Budget isn't the issue, it's finding the right tool" |
Rich Reports with Verbatims & Quotes
Get comprehensive reports that bring your research to life. Every analysis includes direct verbatims and quotes from participants highlighting key moments, evidence mapped to specific hypotheses, and topic-specific breakdowns with timestamps. Perfect for stakeholder presentations and product decision-making.
Interview Report - Marcus T.
Collaboration Pain Points
Screenshot[User demonstrating workflow issue]
"
Our current tool makes it really hard to keep everyone in sync. We end up using three different apps just to collaborate on one project.
Mobile Usage Pattern
"
I occasionally check things on my phone, but honestly it's not critical for me.
Export to Any Format
Share insights in the format your team needs. Export your Hypothesis Validation Summary and individual interview reports to PDF for presentations, push to Confluence for team wikis, or download as Markdown for documentation. Seamlessly integrate research findings into your existing workflows without manual reformatting.
Export Options
Export to PDF
For presentations & stakeholder reports
Ready
Publish to Confluence
Transfer to team wikis & knowledge base
Ready
Download Markdown
For docs & version control
Ready
Process
From Interviews to Insights in Three Steps
Upload once, AI analyzes automatically, insights delivered instantly
01
Input Your Materials
Create a project using the Customer Interviews template. Define your research context: business problem, research goals, and hypotheses. Upload your recorded user interview videos.
02
Evidence Mapping
Hinto AI analyzes each interview individually. For every participant, it maps evidence from the conversation back to your hypotheses, categorizing them as confirmed, mentioned, or rejected.
03
Generate the overall report draft
AI produces a first-pass draft of your Hypothesis Validation Summary. You stay in control—review, refine, and finalize. Get key findings, validated hypotheses, actionable recommendations, and individual interview reports ready for your expert touch.
Features
Powerful Research Analysis Tools
Everything you need to analyze user interviews at scale
Video Processing
All formats supported
Upload video files from Zoom, Google Meet, Loom, or any recording software. Supports all major video formats including MP4, MOV, AVI, and WebM. The Customer Interviews template automatically processes your recordings and extracts insights.
Zoom
Meet
Loominterview_sarah.mp4
45.2 MB • 42:15
zoom_meeting_marcus.mov
78.9 MB • 1:05:30
loom_recording_alex.webm
32.1 MB • 28:45
Hypothesis Validation Summary
Get a top-level aggregated report across all interviews. See which hypotheses were validated, patterns across participants, key insights, and data-driven recommendations.
Aggregated insightsIndividual Interview Reports
Each interview generates a detailed folder with topic-specific analyses. Review findings per participant, explore specific themes, and dive deep into individual conversations.
Per-interview analysisAutomated Evidence Categorization
AI automatically categorizes evidence as confirming, mentioning, or rejecting each hypothesis. Visual indicators show validation status across your entire research cohort.
Confirm/Mention/RejectEdit & Export Anywhere
Refine your reports with the built-in editor. Export insights to PDF for presentations, push to Confluence for team wikis, or download as Markdown. Share findings in the format your stakeholders need.
Multiple formatsWho It's For
Built for Research Teams
Turn user interviews into validated insights and actionable recommendations
UX Researchers
Validate design hypotheses faster. Map evidence from user interviews to design assumptions. Generate insights reports for design reviews and stakeholder presentations.
User Researchers
Scale your research analysis. Process multiple interviews simultaneously. Track hypothesis validation across cohorts. Make interview findings searchable and shareable.
Product Managers
Make data-driven product decisions. Test feature hypotheses with real user feedback. Get aggregated insights from customer interviews to prioritize your roadmap.
Startup Founders
Validate product-market fit assumptions quickly. Analyze customer development interviews at scale. Turn user feedback into actionable product improvements.
FAQ
Frequently Asked Questions
Everything you need to know about User Research Analysis
Hinto supports all major video formats including MP4, MOV, AVI, and WebM. You can upload recordings from Zoom, Google Meet, Microsoft Teams, Loom, or any screen recording software. If your platform exports a video file, you can analyze it with Hinto.
When creating a Customer Interviews project, you'll fill out the UX Research Context window. Define your business problem, list your research goals, and write out the hypotheses you want to test. You can copy-paste from existing research plans. These hypotheses guide the AI to map evidence from interviews.
Most interviews are processed in minutes. After uploading your videos, Hinto generates individual interview analyses and a Hypothesis Validation Summary aggregating all findings. Processing time depends on video length, but you typically get comprehensive reports within minutes of upload.
Yes. Create a dedicated project for your user research and invite team members. Everyone can review interview reports, the Hypothesis Validation Summary, and search across all conversations. Perfect for research teams, product teams, and stakeholders who need access to insights.
The Hypothesis Validation Summary is a comprehensive aggregated report across all your interviews. It includes: key findings from all participants, hypothesis validation status (confirmed/mentioned/rejected), patterns and themes across interviews, actionable recommendations, and links to individual interview reports for deeper analysis.
Yes. Hinto supports multiple languages for transcription and analysis. Upload interviews in your preferred language and receive insights reports in the same language or translated to another language.
When you define hypotheses in your research context, Hinto AI analyzes each interview and identifies moments where participants confirm, mention, or reject those hypotheses. Evidence is automatically categorized and linked back to your assumptions, giving you a clear validation status per participant and across your entire cohort.
Yes. Export individual interview reports and the Hypothesis Validation Summary in multiple formats. Perfect for stakeholder presentations, design reviews, and product planning meetings. Share findings with your team without manual synthesis.
Basic transcription tools give you raw text. Hinto delivers structured analysis: hypothesis validation per participant, evidence mapping (confirm/mention/reject), aggregated insights across all interviews, topic-specific analyses, and actionable recommendations. It transforms raw interviews into decision-ready insights.
Absolutely. Upload any existing user interview recordings. Whether you recorded them last week or last year, Hinto can analyze them. Perfect for synthesizing past research or analyzing a backlog of customer conversations.
Start Analyzing
Ready to Build a Better
User Interviews into Insights?
Upload your interview recordings to validate hypotheses automatically. Get aggregated insights reports with evidence mapping. Make data-driven decisions faster.