GitHub Copilotの影響を測定して実証する
企業全体で Copilot がどのように使用されるかを理解することは、その価値を示す最初のステップです。 このパスに従って、使用ベースラインを確立し、コードがどのように生成されているかを確認し、導入を測定可能な結果に接続します。
Phase 1: Choose metrics to monitor Copilot adoption.
2 記事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.
Phase 1: Choose metrics to monitor Copilot adoption.
2 記事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.
Phase 2: Monitor usage and adoption
3 記事Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 2: Monitor usage and adoption
3 記事Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 3: See how code is generated
2 記事Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 3: See how code is generated
2 記事Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 4: Connect adoption insights to engineering outcomes
2 記事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.
Phase 4: Connect adoption insights to engineering outcomes
2 記事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.
Phase 1: Choose metrics to monitor Copilot adoption.
2 記事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.
Phase 1: Choose metrics to monitor Copilot adoption.
2 記事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.
Phase 2: Monitor usage and adoption
3 記事Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 2: Monitor usage and adoption
3 記事Establish a usage baseline, compare active users with assigned licenses, and identify where teams may need more support to adopt Copilot.
Phase 3: See how code is generated
2 記事Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 3: See how code is generated
2 記事Review code generation and Lines of Code metrics to understand how people and agents are using Copilot to produce code.
Phase 4: Connect adoption insights to engineering outcomes
2 記事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.
Phase 4: Connect adoption insights to engineering outcomes
2 記事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.