Turn support tickets into developer insights with OpenAI, Postgres, Slack and Jira

Overview This workflow transforms raw support tickets into actionable developer insights using AI and data processing. It automatically detects recurring issues, identifies root causes, ranks severity, and generates a structured engineering report.

By combining embeddings, clustering, and AI analysis, it helps teams prioritize bugs, understand user pain points, and take data-driven product decisions.

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How It Works

1. Scheduled Trigger - Runs automatically at a defined time (e.g., daily).

2. Workflow Configuration - Defines time window, similarity threshold, scoring weights, and delivery options.

3. Fetch Feedback Data - Retrieves recent support tickets (bugs and feature requests) from Postgres.

4. Preprocessing - Cleans, normalizes, and removes duplicate messages.