Transcription built for research

Upload any recording and get a precise, speaker-labeled transcript in minutes. With support for over 40 languages and word-level timestamps, your interviews are always ready for analysis.

Accuracy

Every word, every speaker, every time

Innerview's transcription engine is fine-tuned for conversational interviews. Automatic speaker detection means you always know who said what, even in fast-paced discussions with multiple participants.

  • Speaker diarization with automatic label detection
  • Word-level timestamps for precise referencing
  • Optimized for natural conversation, not just dictation
0Interviewer05:42

Walk me through what happens when you first open the dashboard.

1Sarah Chen06:15

Honestly, the first thing I do is look for where my projects are. But it takes me like five clicks just to get to the actual workspace. I always forget whether I need to go through Settings or the sidebar.

0Interviewer06:48

And what about the integration setup? How did that go for you?

Languages

Research without language barriers

Run studies in any market and get accurate transcripts without hiring separate translators. Innerview supports over 40 languages natively, so your global research program scales effortlessly.

  • Native support for 40+ languages
  • Accurate handling of accents and dialects
  • Mixed-language interviews handled automatically

User Onboarding Interview — Sarah Chen

Feb 14, 3:30PM
5:42 / 31:08
1x
Summary

Sarah describes significant friction during onboarding, particularly around the initial project setup flow. She highlights that competing tools offer guided walkthroughs which reduce time-to-value. Key pain points include unclear navigation between steps and a lack of contextual help when configuring integrations.

Key Themes
  • Navigation confusion — users can't find workspace quickly
  • Integration setup failures with no confirmation feedback
  • Competitor advantages in guided onboarding experiences
  • Feature requests for setup wizard and keyboard shortcuts
What are the main pain points?

Sarah highlighted three key pain points:

  1. Navigation confusion — ~5 clicks to reach workspace
  2. No integration feedback — 20 min on Slack, no confirmation
  3. Missing guided onboarding — competitors do it better
Analyze this interview…
Workflow

From recording to insight in minutes

Transcription is just the starting point. Every transcript is automatically stored and ready for AI-powered analysis. No copy-pasting between tools or manual formatting.

  • Upload any recording and get a transcript in minutes
  • Transcripts flow directly into analysis and tagging
  • Ask AI chat anything about your transcripts and get cited answers
Highlights
Suggest
06:15

User struggles with navigation

It takes me like five clicks just to get to the actual workspace.

OnboardingNavigation
07:02

Integration setup lacks feedback

I spent probably 20 minutes trying to connect Slack and I still wasn't sure it worked.

IntegrationCritical
13:18

Competitor onboarding is superior

With [competitor], I was up and running in like two minutes.

Competitor intel

Everything you need

Speaker detection

Automatic speaker diarization identifies who said what throughout the conversation. Clear speaker labels make every transcript easy to follow.

40+ languages

Transcribe interviews in over 40 languages with native-quality accuracy. Run global research programs without separate translation workflows.

Instant availability

Transcripts are ready in minutes, not hours. Every word is timestamped so you can highlight and analyze immediately.

Trusted by world-class organizations

Learn more

User Interview Transcription Software for Research Teams

Ready to get started?

Join thousands of researchers and product teams using Innerview to turn conversations into insights.

No credit card required.