📊 Automate QA Reporting: Ready-to-Use Jira Slack Control Chart Bot

If you’re still manually tracking how long issues stay in Ready for QA → Done, this tool will save you time every single week.

I’ve built 🛠️ Control Chart Snapshot Bot
— a ready-to-use open-source solution that:

1. pulls data from Jira,
2. calculates QA cycle time,
3. generates a chart & summary stats,
4. and automatically posts results into Slack.

You can plug it into your workflow today with just Jira + Slack tokens.

🔧 How it works:

1. Connect Jira API + Slack API
2. GitHub Actions runs the script weekly
3. Your Slack channel receives a snapshot with Mean / Median / P75 + histogram.

🚀 Why it’s useful

• No more manual spreadsheets or Jira exports
• Weekly snapshot of QA performance
• Spot anomalies where issues stay in QA too long
• Improves visibility for both testers and managers

📂 Repository

👉 Code is open-source here

I’d love your feedback, ideas, or Pull Requests.
My goal is to grow this into a practical open-source QA tool that any team can adopt.

🛤️ Roadmap:

📊 Trend chart (7-day moving average)
🧩 Component/Epic breakdowns
⚙️ YAML config & richer filters
🧪 Test execution correlation (Testomat integration)
🐳 Dockerfile & Cloud Run job
💬 Slack slash commands /qa-snapshot

⚡ If you’ve ever struggled with collecting QA metrics or have ideas for useful visualizations, drop a comment below or open an Issue on GitHub.

Together we can make QA reporting more automated, transparent, and fun 🚀