EMA Impact Brief
AI tools are writing more code. But are you delivering better software? In this EMA Impact Brief, see why EMA says P4 Signals gives engineering leaders a more credible way to measure AI’s impact, using DORA metrics and the change history already in P4.
“The real test of AI in software development isn’t how much more code teams produce, but whether they deliver better outcomes. Perforce is well positioned to address that challenge by connecting engineering intelligence directly to the development history captured in P4. P4 Signals offers a promising approach to measuring AI’s impact through established engineering metrics rather than productivity claims alone.”
Can You Prove AI Is Improving Productivity?
Engineering teams have spent years adding AI tools to their workflows, yet many still struggle to show whether those tools make a meaningful difference. Anecdotes and isolated tool metrics can’t separate more activity from better delivery.
Measure Delivery Where the Work Happens
P4 Signals, now in preview, is a native analytics layer built on P4 metadata and change history. There’s no disconnected reporting tool to maintain. Engineering leaders get a queryable view of delivery performance through a web dashboard or a protections-filtered GraphQL API.
What P4 Signals Is Designed to Deliver
DORA Metrics
Benchmark delivery performance against an established industry standard.
Time-to-Review and Time-to-Resolution
See how AI changes review quality and resolution speed.
Hierarchical Branch Analysis
Understand delivery patterns across your codebase.
Project-Level Comparisons
Track change over time and compare teams.
Built for Teams That Rely on P4
If your largest and most critical projects run on P4, your most reliable record of how work gets done is already there. This brief shows how P4 Signals plans to put it to work.
Interested in getting a preview of P4 Signals in your environment?
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