Support tickets turned into a prioritized engineering backlog

The scenario clusters tickets by meaning, finds the root cause, scores severity and sends engineering a readable report, opening issues for the important themes.

  • You see which problems hit the most people
  • Similar tickets collapse into one theme
  • The report is written for developers, not for optics
  • Issues are created for you, by priority
Set it upScriptera

How it works

To move data from Postgres to Google Chat automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Schedule Trigger
  2. Then: Workflow Configuration
  3. Then: Fetch Feedback Data
  4. Then: Preprocess & Deduplicate
  5. Then: Generate Embeddings & Cluster
  6. Then: Aggregate Clusters
  7. Then: Root Cause Analysis Agent
  8. Then: Calculate Severity Scores
  9. Then: Developer Report Generator
  10. Check: Check Delivery Options
  11. If yes: Send to Slack
  12. If yes: Create Jira Issues
  13. If no: Send Email Report
  14. Then: OpenAI Chat Model
  15. Then: Root Cause Schema Parser
  16. Then: Report Generator Model

You can launch this Postgres + Google Chat integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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