Insight7
Insight7 · Marketing
Insight7 is an AI conversation intelligence platform for customer teams. It transcribes and scores every call, surfaces voice of customer insights and coaches agents at scale.
About Insight7
What Is Insight7
Insight7 is a conversation intelligence platform that turns recorded calls, meetings and customer conversations into structured analysis. The company's pitch is narrow and clear: most of what your team learns from a call disappears the moment it ends, so Insight7 captures it, scores it and feeds it back as coaching.
The product grew out of qualitative research. Earlier versions were built to analyze interviews, support tickets and open-ended survey answers, and that DNA still shows in how it handles messy, spoken input. Today the focus has shifted to customer-facing teams: sales, support and learning and development groups that run a high volume of calls and need a repeatable way to grade them. You will find it filed under AI call analytics, and that label fits, because it listens, scores and reports back. The official site is insight7.io.
Two limitations matter before you start. Insight7 handles qualitative data, so it analyzes conversations and text, not spreadsheets of numbers. And the real value sits in the paid tiers, where custom evaluation criteria, PII redaction and coaching tools live. The free and entry plans are for small volume. It is built for teams, not for someone who wants to transcribe one interview.
Getting Started
- Sign up and connect a source, or upload call recordings, transcripts and documents directly
- Pick a template or build your own evaluation criteria for the conversations you want scored
- Let the platform transcribe and analyze each file, then read the dashboards and scorecards it produces
- Share the results with managers so they can coach from evidence, and export reports as PDF or slides
Product Information
A quick look at Insight7's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Sales managers
- Customer support and CX teams
- Sales enablement and L&D teams
- QA and compliance teams
Tasks
- Call quality assurance
- Voice of customer research
- Rep coaching
- Interview and screening reviews
Scenarios
- A support team records thousands of calls a month
- A sales rep keeps losing deals at the pricing objection
- A healthcare or finance team handles sensitive calls
- Onboarding a new cohort of reps
- Running a research project across fifty interviews
Key features
AI Call Scoring
Insight7 scores every conversation against criteria you define, so QA stops depending on whoever has time to listen. You set the rubric once, and the platform grades each call, flags the ones that miss the mark and routes them for review. Managers see a ranked list of agents instead of a random sample.
Voice of Customer Intelligence
The platform pulls themes, objections, sentiment and emotional tone out of interviews, calls and open text in one pass. You upload the files, and it returns summaries, visualizations and journey maps that show what customers keep bringing up. It analyzes qualitative input only, so it's built for text and speech, not for survey ratings you would chart in a spreadsheet.
AI Coaching and Feedback
Insight7 turns a scored call into coaching. It points to the exact transcript moment where a rep excelled or slipped, then suggests what to try next. Feedback is tied to evidence rather than a manager's memory, and it scales to a whole team without adding managers.
AI Roleplays
Reps rehearse difficult conversations against a simulated customer before they face the real one. Roleplays cover screening, discovery, objection handling and closing, and each session ends with a score and a summary. It is the training piece that connects onboarding to live performance.
Live Assist and AI Knowledge Base
During a live call, Live Assist feeds agents real-time prompts and next best actions. The AI Knowledge Base answers questions from your own product and company content, so a rep gets an accurate line instead of guessing. Both sit on top of the same conversation layer the scoring runs on.
Reports, Dashboards and Exports
Results land in dashboards, scorecards and reports you can share with a team or a leadership review. Insights export as PDF or slides, and keyword, scorecard and performance alerts fire when a metric moves. This is how a call review becomes a number you can put in front of people.
Pros and cons
Pros
- Scores every call automatically, which is the difference between reviewing a sample and reviewing all of them
- Custom evaluation criteria let you grade against your own rubric instead of a generic one
- Transcribes and analyzes in over 60 languages, useful for distributed teams
- PII and PHI redaction plus SOC 2 and HIPAA compliance make it usable for regulated industries
- Coaching, roleplays and scoring live in one platform, so training connects to what happens on real calls
Cons
- It is built for qualitative data only, so teams that want to analyze numeric survey results need a different tool
- The evaluation criteria, PII redaction and coaching tools sit in the paid tiers, and the entry plans are limited to small volume
- The most useful tier, Plus, starts at $1,499 per month with a year commitment, which prices out small teams
- Annual billing is the default and card charges are not refunded for a period you have already paid for
Frequently asked questions
It transcribes and analyzes customer conversations, then scores them against criteria you set and turns the results into dashboards and coaching. You upload calls, transcripts or documents, and it returns summaries, visualizations and reports you can act on.
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