Delivering and Analyzing a Software Pilot: GitHub Copilot

Introduction

• Introduction and overview
• What you should know
• Who this course is for

1. Getting Started with GitHub Copilot

• Overview of GitHub Copilot
• Setting up GitHub Copilot for development

2. Planning a Software Pilot

• Defining objectives and goals
• Selecting the pilot team
• Establishing key performance indicators
• Preparing your environment for the pilot

3. Launching the Pilot

• Steps to officially start the pilot
• Initial challenges and how to address them
• Communication strategies during the pilot
• Ensuring smooth operations and support

4. Monitoring the Pilot

• Tools and techniques for monitoring
• Capturing and analyzing metrics
• Making adjustments during the pilot
• Case studies of effective monitoring

5. Ending the Pilot

• Criteria for concluding the pilot
• Steps for a structured wrap-up
• Transitioning from pilot to full deployment
• Common pitfalls to avoid at this stage

6. Gathering Feedback

• Methods for collecting feedback
• Organizing and preparing feedback for analysis
• Prioritizing feedback and identifying trends
• Engaging with pilot teams post-pilot

7. Using NLTK to Analyze Feedback

• Introduction to NLTK for text analysis
• Preparing your data for analysis
• Techniques to identify sentiments and themes
• Gathering metrics from GitHub regarding Copilot usage
• Visualizing data and results

8. Writing a Business Case

• Structuring your business case
• Incorporating data and insights from the pilot
• Presenting results to stakeholders
• Strategies for gaining support for full deployment

Conclusion

• Next steps to continue your software pilot journey