Promote a Data-Driven Approach to Decision-Making

This standard mandates the promotion of a data-driven approach to decision-making to ensure teams use evidence and insights to inform their choices.

1. Promote a Data-Driven Approach to Decision-Making:

Ensure teams use evidence and insights to inform their choices. This approach ensures that decisions are based on facts and data.

• 1.1 Data and Experimentation Utilisation:
  • 1.1.1 Real-World Metric Validation:
    • Encourage engineering teams to use data, experimentation, and real-world metrics to validate decisions.
    • Automate the tracking of experimental data.
  • 1.1.2 Validation Management:
    • Automate the tracking of metric validations.
    • Implement validation tutorials.
• 1.2 Self-Service Access to Analytics:
  • 1.2.1 Performance and Customer Insights:
    • Provide self-service access to performance analytics, system telemetry, and customer insights.
    • Automate the provision of analytics dashboards.
  • 1.2.2 Access Management:
    • Automate the tracking of analytics access.
    • Implement access feedback collection.
• 1.3 A/B Testing and Feature Flags:
  • 1.3.1 Controlled Rollout Validation:
    • Use A/B testing, feature flags, and controlled rollouts to validate decisions before full implementation.
    • Automate the configuration of A/B testing.
  • 1.3.2 Rollout Management:
    • Automate the tracking of feature rollouts.
    • Implement rollout tutorials.

By promoting data-driven decisions, organisations can ensure choices are based on evidence.

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