I Built a Smart SLA Dashboard for Jira Support Analytics (No Plugins Required)

🔍 A real-time analytics solution to visualize SLA breaches, monitor team performance, and predict support trends — built with Python for JIRA-based workflows.

This project offers a visual monitoring system for support teams using JIRA. It tracks SLA status, breach risks, team performance, and historical trends — all in a dashboard format.

Help support managers take data-driven decisions, reduce ticket resolution delays, and maintain high SLA adherence.

• 📈 Dynamic SLA breach visualization (line, bar, pie)
• 🧠 Visual alerts for SLA-critical areas
• ⏱️ Real-time ticket status per agent/category
• 💼 Team-based performance comparison
• 📤 Dashboard-ready CSV export options
• 🔄 Built using Plotly, Pandas & open APIs
• 📁 Sample dataset + easy-to-plug data templates

• Support Managers tracking real-time KPIs
• Tech Leads optimizing ticket loads
• Ops Teams handling SLA compliance
• Engineers automating JIRA analytics

• 📄 IJARIIT Research Paper: Smart Dashboard for SLA Monitoring
• ✍️ Dev.to: Visualize SLA Breaches, Trends & Team Performance
• 📝 Medium: How I Built a Smart SLA Dashboard

✅ Sample data provided inside data/. You can connect your JIRA API or upload CSV export.

🙌 Contributions Welcome

Star ⭐ | Fork 🍴 | Share 🔁

Feel free to open issues, suggest features, or contribute directly. Let’s improve support analytics together!

📩 Contact

Built by Arooj Javed

• 🔗 GitHub: @aroojjaved93
• ✉️ Email: available on profile
• 🌍 Location: Pakistan 🇵🇰

📌 This project is part of a broader research initiative to enhance support systems with data-driven tools.

Let me know if you'd like a PDF, DOCX, or image banner version of this README. |oai:code-citation|