VOICE OF CUSTOMER
Feedback to Requirements, 24/7
Autonomous agent that monitors 50+ feedback sources, converts customer voices into user stories, and quantifies demand—without manual ticket reading.
PROBLEM STATEMENT
Traditional VoC Programs Don't Scale
Manual Overload
Product managers spend 15+ hours weekly reading tickets, reviews, and survey responses. Can't keep up with volume.
Scattered Feedback
Customer voices live in Zendesk, Intercom, Gong, G2, surveys, app reviews, community forums. No unified view.
Lost Context
By the time feedback reaches product team, critical context is lost. Engineering builds the wrong thing.
solution
Autonomous Voice of Customer That Never Sleeps
Voice of Customer
Continuously monitors every feedback channel, automatically converts customer voices into structured requirements, and quantifies demand in real-time.
Multi-Source Aggregation
Zendesk, Intercom, Front support tickets
Gong, Chorus sales call transcripts
G2, Capterra, App Store reviews
Typeform, SurveyMonkey surveys
Community forums and Slack channels
Social media mentions
NPS feedback and CSAT responses
Intelligent Synthesis
Automatic clustering of similar requests
Duplicate detection across channels
Sentiment analysis and urgency scoring
Customer segment attribution
Feature category mapping
Trend identification over time
Requirements Generation
Convert feedback to user stories
Extract acceptance criteria
Identify affected customer segments
Quantify demand by volume and value
Map to existing product capabilities
Generate requirements documentation
Continuous Quantification
Real-time demand tracking
Segment-based prioritization
Revenue impact estimation
Trend analysis and forecasting
Competitive context integration
How it Works
How AI Agents Works
Autonomous. Intelligent. Action-Driven.
One-click integration with Zendesk, Intercom, Salesforce, Jira, Gong, G2—agents start monitoring immediately.
RESULTS
No more manual ticket reading
24/7 monitoring across all channels
Know demand for every feature request
Engineering gets context, not summaries
Usecases
usecase 1
Cross-Channel Synthesis
Customer mentions slow performance in: support ticket, sales call, G2 review, and NPS survey. Agent clusters all mentions, quantifies total demand.
usecase 2
Automatic User Stories
Support ticket: "Can't export data to Excel." Agent generates: "As a data analyst, I want to export reports to Excel so that I can analyze data offline."
usecase 3
Segment Intelligence
Agent identifies: "Enterprise customers request SSO (23 mentions), SMB customers request easier onboarding (156 mentions)."
FAQ
Does the agent replace my VoC tool?
We complement tools like Medallia or Qualtrics by adding autonomous synthesis and requirements generation.
What feedback sources do you support?
50+ including Zendesk, Intercom, Gong, G2, Salesforce, surveys, and more.
Is my data secure?
Yes. All data is encrypted and processed securely, following industry best practices.
Do I need to replace my existing tools?
No. Agents integrate with Jira, Linear, Productboard, and your existing stack.
How is this different from Productboard or Enterpret?
We're autonomous agents that work 24/7, not dashboards you must check. Agents alert you to threats and generate requirements automatically.
How quickly can my team get started?
Most teams are up and running in under a day. HyperOrbit is designed to be simple and intuitive, so you can start immediately without long onboarding processes.
What kind of support does HyperOrbit provide?
We provide dedicated email support, detailed documentation, and regular product updates. Every customer also gets access to a free 30-minute onboarding call to help tailor HyperOrbit to your workflows.