Uncover what support tickets hide

Support tickets show symptoms. Deep-dive interviews reveal root causes. Use AI to analyze support conversations and fix the problems that generate the most tickets.

Go Deeper

Move beyond ticket categories

Record deep-dive interviews with frustrated customers to understand the full story behind recurring issues. Innerview transcribes and preserves every detail so your team can find real solutions.

  • Record and transcribe customer deep-dive calls
  • Capture context that ticket fields and tags miss
  • Organize support interviews in your workspace for easy reference
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?

Root Cause Analysis

Find systemic issues driving ticket volume

AI analysis of each support interview reveals the product and process issues behind customer frustration. Uncover root causes that ticket data alone can never explain.

  • AI identifies and categorizes every issue mentioned in each interview
  • Distinguish between UX confusion, bugs, and missing features
  • Understand the full context and severity of each issue
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

Everything you need

Issue Categorization

AI automatically tags support interview themes: UX confusion, missing documentation, bugs, feature gaps, and process breakdowns for easy prioritization.

AI-Powered Follow-Ups

Ask AI follow-up questions about any support interview. Get cited answers grounded in exactly what the customer said, without re-watching the recording.

Evidence for Product Teams

Share customer quotes and highlights with engineering and product so they understand the real-world impact of the issues they are fixing.

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Learn more

Customer Pain Points Guide: Identify, Resolve, and Boost Satisfaction

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