PRODUCTIVITY

Put numbers behind the AI story.

CleverDev links commits, pull requests, builds, and incidents in real time to automatically compute throughput, rework rate, and predictability so you can see if your AI investment is driving delivery.

AI-assisted vs baseline
Baseline AI
+38%
Throughput
-11%
Rework rate
+17%
Predictability
THE PROBLEM

The CIO is asking.
Activity metrics can't answer.

DORA metrics are too slow to diagnose sprint bottlenecks, and story point velocity is easily manipulated. To prove AI is driving speed and quality, you need value cycle visibility.

You can't prove a difference you can't see.
01· METRICS THAT MATTER

Delivery measures,
not activity metrics.

DORA metrics tell you how fast you deployed, but not what you shipped. CleverDev links commits to business requirements so you can measure what percentage of capacity is moving your strategy forward.

SDLC metrics stack
Throughput — feature delivery velocity
Rework — rate of code updates
Predictability — commit accuracy
Developer throughput
Activity metrics
Sprint capacity
Historical backfill1.2x increase
Day 1: ConnectLive metrics baseline
02· REAL-TIME SIGNALS

“We started measuring too late.”
No — you didn't.

The moment you connect CleverDev, it parses your historical SDLC events to map requirements to commits from day one. You don't need to wait three months to establish a baseline.

03· VALUE CORRELATION

AI sped up tasks.
Not your org.

If developers write code 50% faster but pull requests sit in review for three days, your organization hasn't gained anything. CleverDev pinpoints review, build, and deployment bottlenecks so your AI investment actually delivers.

Cycle bottlenecks
Code generationFast
PR review time3d bottleneck
Release cycledelayed

How is this possible?

Because CleverDev connects directly to your event stream in real-time, matching requirements to commits, builds, and incidents without polling APIs.

Explore the platform

Show the CIO exactly what the investment bought.