When trying to objectively benchmark delivery performance and identify what to improve first.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: DevOps & CI/CD - Use case: DevOps Maturity Assessment - Source task: - Assess the DevOps maturity of a team with these current practices: {{describe_current_state_deployment_frequency_lead_time_mttr_chang}}. - Step 1: score the team on the DORA metrics (Deployment Frequency, Lead Time for Changes, MTTR, Change Failure Rate) against Elite/High/Medium/Low benchmarks. - Step 2: identify the biggest bottleneck to improving each metric. - Step 3: build a 6-month improvement roadmap targeting the highest-leverage metric first. - Step 4: define leading indicators to track improvement before results show in DORA metrics. # Goal DORA metric scoring with benchmarks, bottleneck identification per metric, 6-month improvement roadmap, and leading indicator definitions. # Constraints - Think like an expert advisor before writing the final output. - Ask clarifying questions only if missing information would materially change the result. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output DORA metric scoring with benchmarks, bottleneck identification per metric, 6-month improvement roadmap, and leading indicator definitions.
{{double-curly}} with your real context.When trying to objectively benchmark delivery performance and identify what to improve first.
Deployment frequency is the most leading DORA metric — teams that deploy more frequently also have lower change failure rates and faster MTTR.
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