“You can’t improve what you don’t measure.” – Lord Kelvin
✅ Why Measurement Matters
Measuring key metrics like cycle time, lead time, and bug counts helps you spot bottlenecks and areas for improvement. Without solid data, you might rely on guesses, but accurate measurements lead to informed decisions and real results.
🚀 What Should You Measure?
According to Accelerate, focus on these four important DORA metrics:
-Deployment Frequency: How often your team releases changes to production.
-Change Lead Time: The time it takes for code to go live after being committed.
-Change Failure Rate: The percentage of deployments that result in issues, rollbacks, or failures.
-Time to Restore Service: How long it takes to fix an issue in production.
From my experience, I also recommend tracking:
-Cycle Time: The total time to complete a task from start to finish.
-Development Time: The time spent on coding and programming a feature.
-Bug Count: The number of defects or issues found in the software.
📊 Recommendations
Don’t overwhelm yourself by trying to measure everything. Instead, focus on 3 or 4 key metrics, establish a baseline, and make gradual improvements. Concentrate on enhancing one metric at a time for the best results.
🔧 Pro Tip
Use tools like JIRA, Trello, or Asana to collect your data, and Looker Studio (formerly Google Data Studio) to visualize it. Real-time insights help you focus on solving problems and improving processes.
Remember, measuring performance isn’t about micromanaging; it’s about empowering your team to continuous improvement by identifying growth opportunities.
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