Copilot activation: Guide your team through the setup process and make sure GitHub Copilot is up and running for all relevant developers.

1. Developer enablement & training: Conduct a hands-on training session to familiarize your developers with Copilot's features and best practices.
2. KPI Definition: Collaborate to define key performance indicators that will measure the success of the PoV, including quantitative metrics such as daily usage or adoption rates, as well as qualitative metrics such as developer satisfaction.
3. Data Capture Strategy: Outline methods for collecting the data needed to assess the defined KPIs to ensure accurate tracking of Copilot's performance.

‍

Your team will actively use GitHub Copilot in their daily coding tasks. This period is crucial for gathering empirical data and insights on how Copilot impacts the software development lifecycle. PRODYNA supports the teams by:

1. Monitoring and Support: Provide ongoing guidance and technical support to ensure smooth integration and optimal use of GitHub Copilot.
2. Data Collection: Collect relevant data against pre-defined key KPIs. This data collection is critical for evaluating the effectiveness of Copilot during the PoV.2.
3. Feedback Loops: Encourage continuous feedback from developers using GitHub Copilot. This feedback is essential for understanding the user experience, identifying potential issues, and making adjustments to maximize the benefits of Copilot.

1. Feedback Collection: Gather detailed feedback from the development team on their experience with GitHub Copilot.
2. Success Measurement: Analyze the collected data against the set KPIs to evaluate the PoV’s success.
3. Scaling Discussion: Based on the PoV outcomes, define a comprehensive plan for rolling out GitHub Copilot to additional teams or the entire company.
4. Next Steps: Outline the post-PoV phases, including any training, support, and integration enhancements needed to ensure a smooth company-wide rollout of GitHub Copilot.