Turn every customer voice into intelligence that powers every decision
Enterpret is the leading customer insights software that unifies large volumes of feedback across tickets, calls, and reviews to surface customer insights and drive product decisions faster.

You have feedback from every direction but without structure or context, you’re still left guessing what customers really need.

Every team hears customer feedback, but no one sees the full picture. Feedback lives across Zendesk, Gong, and a maze of tickets, surveys, and reviews. Product and CX is left with partial insights and make decisions with incomplete context.

Teams either tag feedback manually or use ChatGPT, but insights are still slow, inconsistent, and not real time. They don’t scale as feedback volume grows, and teams end up spending hours managing data instead of learning from it.

Even with feedback at our fingertips, it rarely connects back to the roadmap. Cross-functional teams struggle to see which insights should shape what gets built next, leaving prioritization driven by gut feel instead of data.
Unify feedback with your business context to prioritize what truly matters
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Connect with over 50+ sources from Zendesk, Salesforce, Slack, Reddit, and more

OAuth-based setup in under 60 seconds. No code to write, no maintenance overhead

Every feedback is classified in your taxonomy the moment it lands - zero manual tagging
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Define L1/L2/L3 from product area → feature → sub-feature to match your org structure
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Surface the “why” behind the “what” that drives customer love, complaints, requests
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Drive accountability and action by automatically routing insights to right teams
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Define any business entity (e.g. Stores, Competitors, Personas) and its relationships
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Automatically unify the same user and account across sources into one identity
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Visualize and manage users, accounts, and other connected entities
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Write natural language instructions to extract any signal. No code needed, infinitely flexible
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Enrich new feedback automatically and retroactively backfill historical records
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Build and evolve your enrichment library over time. Test, iterate, deploy in minutes.
Transform raw feedback into data you can act on
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Rank themes by ARR, CSAT, NPS impact, not just volume. Slice by dimensions, no SQL
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Compare cohorts, segments, and time periods to isolate what’s changing and why
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Jump from any chart to verbatim feedback and AI summaries
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Reviews 100% of your feedback corpus (not just a small sample) for complete answers

Trace every answer back to actual customer conversations.

Search the web and 3p tools for latest news, roadmap docs, product analytics and beyond
Turn insights into action with AI Agents and automated workflows
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Detects spikes and anomalies, alerts owners in Slack/email before it turns into an incident
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Flag emotionally-intense, high-escalation risk feedback needing immediate attention
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Detect negative sentiment shifts in support threads, enabling timely intervention
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Get notified in Slack/email when linked tickets resolve. Know when to follow-up

See the problem, resolution, and impacted users in one view. Stop hunting for context

AI generates comms with customer context. Every message is personal, not templated
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Assign Jira and Linear issues directly to feedback and themes, zero copy/paste
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Push feedback counts, impact, and backlinks to Jira so teams see the "why"
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See a detailed preview of the linked Jira / Linear issue without leaving Enterpret








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