How to measure the productivity gains from using GitHub Copilot?

Before you can see how much GitHub Copilot is helping, you need to know where you're starting from. Set up some clear baseline metrics like:

• Lines of code written per day.
• Number of commits per week.
• Time spent on code reviews.
• Frequency of completed tasks or features.
• Bug and issue resolution time.

Track these metrics over a couple of weeks, maybe two to four, to get a good snapshot of your current productivity.

Create two groups of developers: one using GitHub Copilot and another without it. Make sure both groups have similar skill levels and are working on similar projects or tasks. This way, you can make a fair comparison between the two groups.

Get GitHub Copilot installed for the group that's going to use it. Make sure they know how to use it by providing some training sessions if needed. Ensure they're comfortable with it and understand how it can help them.

Keep an eye on the productivity metrics for both groups over a set period, like one or two months. Key metrics to track during this time include:

• Changes in lines of code written per day.
• Adjustments in commit frequency.
• Time logged in code reviews.
• Number of tasks or features completed.
• Time taken to resolve bugs and issues.

Schedule regular check-ins with the developers using GitHub Copilot to gather qualitative data. Ask for feedback on:

• Ease of use and user experience.
• Specific features they found most beneficial.
• Any challenges they faced while using the tool.
• Response time and accuracy of suggestions.

Compare the data collected from both groups. Look for patterns like increased lines of code, higher frequency of commits, reduced time spent on code reviews, and faster bug resolution times among the Copilot users. Identify any statistically significant differences in the productivity metrics.

Compile the qualitative data from check-ins and feedback sessions. Understand how GitHub Copilot contributed to the workflow, made tasks easier, or reduced cognitive load. This insight can highlight the specific advantages beyond mere quantitative metrics.

Make sure you consider external factors that might affect productivity such as:

• Changes in project scope or complexity.
• Different working hours or personal circumstances.
• Unforeseen technical issues.

Adjust your comparisons accordingly to ensure that the productivity gains attributed to GitHub Copilot are accurate.

Compile your findings into a detailed report, including:

• Baseline metrics and comparison results.
• Quantitative productivity gains.
• Qualitative feedback and usability insights.
• Contextual variables and adjusted analyses.

This report provides a holistic view of how GitHub Copilot impacts productivity.

Present the report to stakeholders, including developers, team leads, and upper management. Discuss:

• Quantitative and qualitative benefits.
• User feedback and potential areas of improvement.
• Recommendations for broader use of GitHub Copilot.

Engaging with stakeholders ensures that the observed productivity gains from using GitHub Copilot are understood and appreciated across the organization.