Surface customer-reported issues that don't appear in error logs — UX bugs, workflow breaks, and data inconsistencies.

Functions

Engineering

Product

Features

Find bugs invisible to your monitoring

For when Datadog is all green but customers keep saying something is broken.

How teams use Enterpret today

Situation

An engineering manager kept hearing 'something feels broken' from CS but couldn't find anything in logs or monitoring.

Action — asked Enterpret AI

What customer-reported issues in the last 30 days don't map to any known bug? Focus on 'incorrect behavior' complaints, not feature requests.

Ask Enterpret AI

Impact

Discovered a data sync issue that only manifested in a specific timezone — completely invisible to instrumentation. Linked the feedback theme to a new Jira or Linear ticket directly from Enterpret, with 8 customer quotes and the total affected account count attached automatically.

Situation

A QA lead wanted to understand what types of bugs customers catch that automated testing misses.

Action — prompted Claude with Enterpret MCP connector

Use the Enterpret Wisdom connector to show the top bug-related feedback themes for the past quarter. Flag any that have no corresponding ticket in our bug tracker.

Try in Claude

Impact

Found 3 persistent UX bugs in multi-step workflows that automated tests didn't cover. Created tickets for all 3 with customer evidence attached.

Situation

After surfacing 3 UX bugs invisible to automated testing, the QA lead needed to get them into the engineering backlog with full customer context.

Action — linked discovered bugs to Jira or Linear work items

Linked each bug theme to a new Jira or Linear ticket from Enterpret. Each ticket automatically received the customer feedback count, affected account list, and representative quotes describing the exact broken workflow.

Set up Jira

Set up Linear

Impact

Engineering had reproduction context from real customer descriptions — not just "bug reported by support." Average time to reproduce dropped because engineers could read exactly what customers experienced.

Related Use Cases

See all templates

Detect emerging issues before they escalate

For when a small complaint turns into a trending topic overnight — and you want to catch it at 20 tickets, not 200.

Catch post-deployment regressions from feedback

For when your deploys pass all tests but customers notice something broke.

Investigate customer-reported issues while you code

For when you're debugging a problem and need to know what customers are actually experiencing — without leaving your development environment.

Start transforming feedback into customer love.

Leading companies like Perplexity, Notion and Strava power customer intelligence with Enterpret.

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