Enterpret is an AI-powered customer feedback intelligence platform designed to help product and customer experience teams make sense of large volumes of unstructured feedback. It aggregates feedback from sources such as support tickets, app reviews, surveys, sales calls, and social media into a single unified taxonomy. Using adaptive machine learning models, Enterpret automatically categorizes and tags feedback, enabling teams to identify trends, track issues over time, and understand the root causes behind customer sentiment. The platform provides a natural language query interface so non-technical users can explore feedback data without writing code. Teams can segment feedback by customer attributes, product area, or time period, and connect insights to business metrics. Enterpret is positioned for product managers, customer success teams, and voice-of-customer programs at growth-stage and enterprise companies that need to systematically process high volumes of qualitative feedback and translate it into product decisions.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- API
Key features
Use cases
- Unify customer feedback from multiple channels
- Categorize and tag feedback automatically
- Identify product issues and feature trends
- Query feedback in natural language
- Segment feedback by customer attributes
- Connect customer feedback to business metrics
Best for
- Product managers who need to prioritize roadmap decisions based on structured customer feedback
- Customer success teams who need to identify and escalate recurring customer pain points at scale
- Voice-of-customer program owners who need to unify feedback from disparate sources into a single taxonomy
- Data analysts who need to surface trends from large volumes of unstructured qualitative data
Integrations
Communication
Slack, Intercom, Zendesk
CRM & sales
Salesforce, HubSpot
Project management
Jira
Analytics & BI
Amplitude
Customer support
Freshdesk, Gorgias
Other
App Store, Google Play, Typeform, Delighted