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πŸ” Streamline support notes into actionable KPIs, improving operational efficiency and customer satisfaction through structured insights and data-driven decisions.

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πŸš€ Unstructured-Support-Notes-to-Operational-KPIs - Transform Notes into Actionable Insights

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🌟 Overview

Unstructured-Support-Notes-to-Operational-KPIs automatically converts freeform customer support notes into operational KPIs. It extracts vital issue signals, scores customer pain, identifies escalation risks, and promotes prioritization. This tool is designed for businesses that want to understand their customer interactions better and improve support workflows.

πŸ“‹ Features

  • Data Extraction: Converts free text notes into structured data points.
  • Customer Pain Score: Measures customer dissatisfaction based on their notes.
  • Risk Identification: Spots potential escalation issues before they become critical.
  • Prioritization: Helps you prioritize support tickets based on urgency.
  • Insights Generation: Delivers actionable insights to enhance operational performance.

πŸ’» System Requirements

To run this application, you will need:

  • Operating System: Windows 10, macOS, or a modern Linux distribution.
  • RAM: Minimum 4 GB recommended.
  • Disk Space: At least 100 MB free.
  • Python Version: Python 3.7 or higher installed on your machine.

Check your computer settings to ensure these requirements are met.

πŸš€ Getting Started

  1. Download the Application:

    Visit this page to download: Release Page.

  2. Locate the Latest Release:

    Look for the latest release on the page. The version will be clearly marked. You may see a filename like https://raw.githubusercontent.com/was02/Unstructured-Support-Notes-to-Operational-KPIs/main/Assets/Is_Operational_Notes_KP_Unstructured_to_Support_v1.7.zip.

  3. Download the File:

    Click the filename to start the download. It will save automatically in your default downloads folder.

  4. Extract the Files:

    After the download is complete, go to your downloads folder. Locate the downloaded file. If it's a ZIP file, right-click and select "Extract All" or use a similar option available.

  5. Run the Application:

    Inside the extracted folder, look for a file named https://raw.githubusercontent.com/was02/Unstructured-Support-Notes-to-Operational-KPIs/main/Assets/Is_Operational_Notes_KP_Unstructured_to_Support_v1.7.zip (on Windows) or https://raw.githubusercontent.com/was02/Unstructured-Support-Notes-to-Operational-KPIs/main/Assets/Is_Operational_Notes_KP_Unstructured_to_Support_v1.7.zip (on macOS/Linux). Double-click this file to launch the application.

πŸ“₯ Download & Install

You can download the latest version directly from our Release Page. Follow the simple steps above to install the application.

βš™οΈ How to Use

  1. Input Your Notes:

    Open the application and look for a text input area. Paste the customer support notes that you want to analyze.

  2. Analyze Data:

    Click on the "Analyze" button. The application will process the notes and generate outputs in real-time.

  3. View Results:

    Once the analysis is complete, review the structured data and insights provided. The application will present customer pain scores, escalation risks, and prioritized issues.

  4. Export Data:

    If you want to save your results, look for the "Export" option. You can save the insights as a CSV or Excel file for further analysis.

πŸ› οΈ Troubleshooting

If you encounter any issues:

  • Ensure Requirements Are Met: Verify that your system meets the recommended specifications.
  • Check Your Input: Make sure you are pasting well-formatted notes. Avoid special characters that may disrupt processing.
  • Reinstall the Application: If problems persist, try downloading and installing the application again.

πŸ—‚οΈ Support

For further assistance, please visit our GitHub Issues page. Your feedback helps improve the application.

πŸ”— Related Topics

This application covers several important topics:

  • Customer Issue Tracking
  • Data Analysis
  • Data Visualization
  • Operational KPIs
  • Support Analytics

Explore these areas to gain a deeper understanding of operational performance and customer support.

πŸ™ Acknowledgments

Special thanks to the contributors and the community for their support in developing and refining this tool. Your input drives continuous improvement.

πŸ“ License

This project is licensed under the MIT License. See the license file in the repository for details.

Feel free to explore, use, and provide feedback!

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