Delivering and Analyzing a Software Pilot: GitHub Copilot

Course details

Running a successful software pilot is essential for introducing new tools into your organization’s workflows. In this course, instructor Mike Smith guides you through the process of planning, executing, and evaluating a software pilot that can lead to informed decision-making and a strong business case for full deployment. While using GitHub Copilot as a practical example, the lessons apply to any software pilot. You'll learn how to define objectives, monitor usage metrics, analyze feedback, and present findings to stakeholders. Ideal for decision-makers and tech leads, this course equips you with the skills required to successfully test, implement, and justify new software across your organization.

Concepts

0. Introduction

01 - Introduction and overview
02 - What you should know
03 - Who this course is for

1. Getting Started with GitHub Copilot

04 - Overview of GitHub Copilot
05 - Setting up GitHub Copilot for development

2. Planning a Software Pilot

06 - Defining objectives and goals
07 - Selecting the pilot team
08 - Establishing key performance indicators
09 - Preparing your environment for the pilot

3. Launching the Pilot

10 - Steps to officially start the pilot
11 - Initial challenges and how to address them
12 - Communication strategies during the pilot
13 - Ensuring smooth operations and support

4. Monitoring the Pilot

14 - Tools and techniques for monitoring
15 - Capturing and analyzing metrics
16 - Making adjustments during the pilot
17 - Case studies of effective monitoring

5. Ending the Pilot

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

6. Gathering Feedback

22 - Methods for collecting feedback
23 - Organizing and preparing feedback for analysis
24 - Prioritizing feedback and identifying trends
25 - Engaging with pilot teams post-pilot

7. Using NLTK to Analyze Feedback

26 - Introduction to NLTK for text analysis
27 - Preparing your data for analysis
28 - Techniques to identify sentiments and themes
29 - Gathering metrics from GitHub regarding Copilot usage
30 - Visualizing data and results

8. Writing a Business Case

31 - Structuring your business case
32 - Incorporating data and insights from the pilot
33 - Presenting results to stakeholders
34 - Strategies for gaining support for full deployment

Conclusion

35 - Next steps to continue your software pilot journey