How do you improve Deployment Frequency? You cannot improve deployment frequency just by coding faster. You must identify the "Wait Times" in your process. These are usually caused by People Friction (e.g., waiting for code review) or Requirement Friction (e.g., unclear specs), not technical limitations.
You have set up the dashboard. You are tracking the "Big 4" DORA metrics: Deployment Frequency, Lead Time for Changes, MTTR, and Change Failure Rate.
Yet, shipping still feels slow. Why?
Because DORA metrics tell you what is happening, but they don't tell you why. A dashboard showing "Low Deployment Frequency" is like a check engine light—it indicates a problem but doesn't fix the car.
Based on analyzing millions of engineering hours, the root cause of slow deployment is rarely "slow typing." It is usually:
To actually move the needle, you need to go beyond the number. You need an Analyst that connects the dots.
This is where Automated Root Cause Analysis shines. Instead of just flagging a "Red" status, AI can correlate the slowdown to specific friction points—like a mismatch between the JD you hired for and the actual work being done.
Don't just measure the problem. Fix it. Use our Automated Root Cause Analysis Tool to identify the people and process bottlenecks hiding inside your DORA metrics.
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