Scoop Team
GitLab captures an incredible amount of data about your development process. Every merge request, pipeline run, code review, deployment, and security scan generates valuable insights about team productivity, code quality, and delivery performance. But accessing these insights often requires:
Meanwhile, the questions development teams actually want answered are surprisingly simple:
"Which merge requests are most likely to cause deployment failures?"
"What patterns predict when our CI/CD pipelines will be slow?"
"How does code review thoroughness correlate with production incidents?"
These are the kinds of insights that can transform how teams work—but they've been locked away in GitLab's data, accessible only to those with advanced analytics skills.
Scoop Analytics changes this completely. By connecting to your GitLab data, Scoop enables any team member to explore insights using natural language—no SQL, no dashboards, no technical expertise required.
Here's how it works:
Getting your GitLab data into Scoop is straightforward—simply export your GitLab analytics data as CSV files and upload them to Scoop. We're also working on direct API connectivity (let us know if you're interested in being an early adopter!).
Instead of building complex queries, team members can ask questions like they're talking to a colleague:
Scoop's AI understands the context of DevOps data and returns meaningful insights, complete with visualizations and explanations of what the data reveals.
The Question: "Why has our deployment frequency dropped over the last quarter?"
What Scoop Discovers:
The Impact: The team implements smaller feature flags, adjusts the review process, and optimizes CI/CD pipeline steps, resulting in 30% faster deployments.
The Question: "Which parts of our CI/CD pipeline are the biggest bottlenecks?"
What Scoop Discovers:
The Impact: The team implements parallel testing, adjusts infrastructure scaling schedules, and optimizes security scanning to run only on changed files, reducing overall pipeline time by 50%.
The Question: "How does our code quality correlate with customer-reported issues?"
What Scoop Discovers:
The Impact: The team implements mandatory review requirements, establishes deployment freezes before weekends, and creates code complexity alerts that help prevent problematic features from reaching customers.
The Question: "What development patterns lead to the most security vulnerabilities?"
What Scoop Discovers:
The Impact: The team creates automated dependency update schedules, implements security mentoring based on successful patterns, and establishes security champions in each development team.
Product managers can understand deployment patterns without learning GitLab's query language. Developers can spot code quality trends without building dashboards. Engineering leaders can get instant answers to complex questions about team performance.
Scoop understands GitLab's data model—merge requests, pipelines, issues, deployments, security scans. It knows that when you ask about "failed deployments," you want to understand the relationship between code changes, review processes, and production outcomes.
Teams can share insights instantly, building institutional knowledge about what works and what doesn't in their development process. Questions lead to follow-up questions, creating a culture of data-driven improvement.
Ready to start chatting with your GitLab data? Here's what teams typically explore first:
GitLab gives your team incredible visibility into your development process. Scoop makes that visibility accessible, actionable, and collaborative. Together, they enable every team member to ask better questions, discover hidden patterns, and make data-driven decisions that improve both code quality and delivery speed.
The result? Teams that ship better software faster, with insights that were previously locked away in complex data structures now available through simple conversations.
Ready to start chatting with your GitLab data? Learn more about Scoop Analytics and see how development teams are transforming their DevOps insights from complex queries into simple conversations.
About Scoop Analytics: Scoop enables business teams to chat with their data in plain English, discovering insights that would be impossible to find manually. From GitLab DevOps data to sales metrics, Scoop makes advanced analytics accessible to everyone.