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Measure and demonstrate the impact of GitHub Copilot

Understanding how Copilot is used across your enterprise is the first step to demonstrating its value. Follow this path to establish a usage baseline, see how code is being generated, and connect adoption to measurable outcomes.

1

Phase 1: Choose metrics to monitor Copilot adoption.

2 文章

Understand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.

  1. GitHub Copilot使用情况指标
  2. Copilot使用情况指标中提供的数据
2

Phase 2: Monitor usage and adoption

3 文章

Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.

  1. 查看 Copilot 使用情况指标仪表板
  2. 使用 Copilot 使用情况指标跟踪许可证激活和初始使用情况
  3. 解释 GitHub Copilot 的使用情况和采用指标
3

Phase 3: See how code is generated

2 文章

Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.

  1. 查看代码生成仪表板
  2. 代码行指标
4

Phase 4: Connect adoption insights to engineering outcomes

2 文章

Define the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.

  1. 使用 GitHub Copilot 实现公司工程目标
  2. 查看 Copilot 影响力仪表板
1

Phase 1: Choose metrics to monitor Copilot adoption.

2 文章

Understand what Copilot usage metrics measure and where the data comes from before you start monitoring adoption. Review the concepts behind usage metrics and the data available through the dashboard and API.

  1. GitHub Copilot使用情况指标
  2. Copilot使用情况指标中提供的数据
2

Phase 2: Monitor usage and adoption

3 文章

Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.

  1. 查看 Copilot 使用情况指标仪表板
  2. 使用 Copilot 使用情况指标跟踪许可证激活和初始使用情况
  3. 解释 GitHub Copilot 的使用情况和采用指标
3

Phase 3: See how code is generated

2 文章

Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.

  1. 查看代码生成仪表板
  2. 代码行指标
4

Phase 4: Connect adoption insights to engineering outcomes

2 文章

Define the engineering outcomes you want to improve and choose metrics that show progress. Compare adoption insights with metrics from your engineering systems to identify associations and evaluate results.

  1. 使用 GitHub Copilot 实现公司工程目标
  2. 查看 Copilot 影响力仪表板