Find bugs invisible to your monitoring
For when Datadog is all green but customers keep saying something is broken.
Real Customer Workflows
QA Lead
Sales Intelligence
$100M–$200M ARR
Situation
A QA lead needed to know what types of bugs customers catch that automated testing misses.
Action - prompted Claude with Enterpret MCP connector
Use the Enterpret MCP connector to show the top bug-related feedback themes for the past quarter. Flag any that have no corresponding ticket in our bug tracker.
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.
QA Lead
Marketing Tech
10–50 employees
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.
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.
Software Engineer
Productivity Software
$500M–$1B ARR
Situation
After a deployment, an engineer noticed a quality monitor alert about 'slow loading' complaints. They needed to investigate the specific customer-reported patterns.
Action - prompted Claude with Enterpret MCP connector
What customer complaints about performance or slow loading emerged since [deploy date]? Group by feature area and show the specific behaviors customers describe.
Impact
Found a latency regression in EU data centers within minutes — directly from customer descriptions in their terminal. Patched in the same sprint.
