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DORA Metrics Issue Cycle Time Team Benchmarking AI Usage Monitoring Connect
View Integrations → Don't just guess. Get tangible & factual metrics to assess the actual effectiveness & ROI of AI tools (Copilot, ChatGPT) on your engineering velocity.
Establish a "Before & After" picture of your engineering efficiency.
Is AI making you ship faster?
DORA metrics (Deployment Frequency, Lead Time, Change Failure
Rate) serve as the ultimate proxy for agility.
Establish a baseline before AI implementation and track improvements. Effective AI use should correlate directly with higher deployment frequency and lower lead times.
Where is time actually saved?
The Issue Cycle Time dashboard tracks every stage: Pickup,
Implementation, QA, and Release.
AI shouldn't just write code faster; it should reduce the "In Progress" time. Identify exactly which phase creates bottlenecks despite AI assistance.
Is Copilot reducing coding time?
Zoom in on the Pull Request Cycle. Analyze Coding Time vs.
Review Time vs. Idle Time.
If you pay for AI agents, you should see a decrease in Coding Time. If coding time drops but Review Time spikes (due to low-quality AI code), you need to know immediately.
Are devs less overworked?
Use the Developer Summary to check Commit Frequency and PR
sizes.
AI should lead to consistent output without burnout. Ensure your team isn't just generating more code, but better code that passes reviews easily.
Are we building features or fixing bugs?
Monitor Project Effort Distribution.
Effective AI use should free up time from boilerplate code and bug fixing, allowing more allocation to Innovation and New Features. Prove the ROI to your stakeholders.
Connect Claude, ChatGPT, Cursor or VS Code to Keypup and measure AI impact in plain language, on your real engineering data.
Add hq.keypup.io/mcp to your AI client and approve
the connection with OAuth. No token to copy, nothing to store.
"Has our PR cycle time improved since we rolled out Copilot?" Your assistant picks the right datasets: AI usage, pull requests, commits and reviews.
Keypup builds and runs the query, and your assistant explains the result. Every Keypup MCP tool is read-only: your data is never modified.
"How has our PR cycle time changed since we rolled out Copilot?"
"Which teams use AI the most, and how does their review time compare with the rest?"
"Did deployment frequency go up in the quarter after AI adoption?"
"Is our suggestion acceptance rate rising, and are bug fixes going down with it?"
See why modern development teams rely on Keypup to ship faster.
"Keypup allowed us to extract a lot of information from Github that would not be easily accessible otherwise. The support has been great, and the ability to get on a call and go through dashboards I've built has been very helpful in unlocking new possibilities to use the product. We now see what our engagement looks like between members and non-members, allowing us to better understand and interact with our community."
Read their story
"We increased our YoY productivity by 45% and Keypup helped us identify our pain points and change the game faster. Their support is the best – they helped us understand which metrics would suit our needs, built dashboards for us, and explained them in detail to us. With Keypup I can now say that we really manage our Engineering teams."
Read their story
"I was genuinely impressed with Keypup, not only because of the ease and speed of integration with our tools but also because it provided immediate access to DORA and other key customizable metrics. The standout was the customer support — they swiftly provided a personalized dashboard that enabled me to comprehend and compute real-time metrics with remarkable ease."
Read their story
"Keypup is a highly useful and practical platform, boasting
user-friendly features and lightning-fast report generation.
The service provided by customer support was excellent, showcasing
their dedication to customer satisfaction. We are delighted to be part
of the Keypup community."
Get factual metrics on effectiveness & ROI in minutes.