From the course: Delivering and Analyzing a Software Pilot: GitHub Copilot

Next steps to continue your software pilot journey - Github Copilot Tutorial

From the course: Delivering and Analyzing a Software Pilot: GitHub Copilot

Next steps to continue your software pilot journey

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- [Narrator] Congratulations, you've just completed this course on running a successful software pilot and using that information to build a solid business case for full deployment. Whether you are testing GitHub Copilot or any other software, you now have a comprehensive framework to ensure your pilot is a success. Over the last few lessons, we've explored a range of strategies to help you confidently manage your software pilot projects. We began by discussing how to plan and execute a pilot, including identifying the right team and defining clear objectives. From there, we dove into gathering metrics from both qualitative feedback like sentiment analysis and quantitative feedback, such as the usage statistics from GitHub Copilot. You've learned how to organize and analyze that data to draw meaningful results. And finally, we talked about crafting a business case based on your pilot's results. Whether that means highlighting improved productivity or addressing potential challenges. And the key takeaway, you now have the tools to ensure that any pilot you run is well organized data-driven and convincing enough to secure stakeholder buy-in for future deployments. And as for next steps, I highly recommend checking out the GitHub Copilot training videos by Ray Villalobos on LinkedIn Learning to deepen your knowledge of how to best leverage GitHub Copilot for your team. And don't forget, you can follow me on LinkedIn and other social media platforms for more insights, tips, and other tech and gaming related content. Thanks again for completing this course, and I look forward to hearing about your pilot's projects successes.

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