GuruSup + Jira — Bug Report Automation
From Customer Report to Jira Bug Ticket in Seconds
GuruSup's AI extracts structured bug reports from messy customer conversations and creates clean Jira issues with reproduction steps, environment details, and severity classification. Engineers get actionable tickets — not vague complaints.
Key benefits
Structured Bug Extraction
The AI parses customer descriptions to extract steps to reproduce, expected vs. actual behavior, browser/OS info, and screenshots — producing engineering-ready Jira tickets automatically.
Automatic Severity Classification
GuruSup assesses bug severity based on user impact, affected feature area, and frequency of reports. Critical bugs get flagged as blockers in Jira immediately.
Duplicate Detection
Before creating a new Jira issue, the AI checks for existing similar bugs. If a match is found, it links the customer report to the existing issue and increments the affected-users count.
Frequently asked questions
Can I customize the Jira bug template?
Yes. Map GuruSup fields to any Jira issue type and custom fields. Define which information is required and how it maps to your engineering team's bug template.
Does it work with Jira automation rules?
Yes. GuruSup-created issues trigger all your existing Jira automation rules — auto-assignment, sprint placement, notification rules, and SLA timers all work as expected.
How accurate is the duplicate detection?
GuruSup uses semantic similarity, not just keyword matching. It achieves 90%+ accuracy in identifying duplicate bugs. When uncertain, it suggests potential duplicates for human review.
