The Best Way to Get GitLab metrics

GitLab Value Stream Analytics offers limited insights even if you're using GitLab for both planning and development. Productivity insights are restricted to basic count-based metrics.

Value stream analytics enables you to view DORA and flow metrics, but misses the configurations and detail-driven visualizations that make them actionable. AnalyticsVerse enables that along with benchmarks across engineering processes and setting up goals and actions to achieve them.
Best Way to Get GitLab Metrics - AnalyticsVerse

What are the limitations of GitLab
value stream analytics?

Developer productivity is not count of commits.

GitLab enables you to capture developer productivity by looking at contributions made by developers and pull requests merged, however, these are only count-based activity metrics and miss other important dimensions of developer productivity.

No insights from JIRA data

If you use JIRA for project planning, GitLab value stream analytics will not bring that data for analytics and insights will be limited to only data available within GitLab. Which will only be half the data and consequently half the truth.

Limited repository and group-level analytics

GitLab allows you to view metrics only at a repository or a group level, in case your product is being developed across groups or with common repos across the organization, GitLab metrics will not make sense and won’t be actionable.

No Sprint / Iteration summary reports

GitLab wasn’t built to help you analyze your sprints and team’s performance in quarterly or weekly iterations. AnalyticsVerse has summary reports that correlate data across all your tools and enable you to analyze your sprints and iterations in a single dashboard.

Missing detailed drill-down

GitLab value stream analytics shows you metrics, but will not give you a drill down into how you reached there so that you can figure out where to improve.  AnalyticsVerse gives a detailed drill down and accountability for every metric across the entire platform.

DORA metrics are just the start

GitLab value stream analytics will enable you to view DORA metrics at a repo/group level with no / limited configurations. AnalyticsVerse helps you with 15+ benchmarks across your SDLC to understand your process maturity compared to that of high-performing teams.

How is AnalyticsVerse better?

Define your Value-streams

AnalyticsVerse enables you to define projects by grouping any repositories across your organization, JIRA projects/boards, and defining team members to visualize your value streams, services, products, and engineering pods
Define value streams

Team Effort Investment

AnalyticsVerse enables you to view where your team is spending development efforts across categories like planned vs ad-hoc work, bugs vs tasks, and new work vs churn vs technical debt to help you drive better business outcomes.
Effort Investment

Go above Metrics, and Take Action.

Looking at metrics won’t change them, driving action will. With AnalyticsVerse you can visualize metrics, benchmark them, set goals with targets, measure progress, get notified when things are about to go wrong, and engage your team in this process.
Go above metrics, take action

Configurable DORA metrics

Configure how your team does deployments and tracks production failures to get four key DORA metrics visualizations. AnalyticsVerse also enables you to configure multiple environments like dev, QA, staging, and production to help you drill down even further.
Flexible DORA configurations

Developer Productivity the Right Way

Measure developer productivity to identify bottlenecks and areas of improvement across the dimensions of the SPACE framework which helps you capture productivity in the truest sense possible.
Developer Productivity - SPACE metrics

Engineering Benchmarks and Goals

Looking at benchmarks of how elite teams manage their processes and setting up goals to improve, helps you make metrics actionable and understand your engineering maturity compared to elite teams. Which is completely missing from GitLab value stream analytics.
Engineering Benchmark and Goals

Engineering Metrics - The AnalyticsVerse Way

Look at what you can achieve using AnalyticsVerse for your engineering teams.

Visualizing Development Progress helps in  Identifying Bottlenecks and acting on them.

Summary Reports

Enables you to visualize development progress across sprints, iterations, months, and quarters. This helps you spot delivery delays earlier and detect anomalies in your team’s working patterns.
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Timeline & Cycle Time

View a timeline of your correlated engineering activities like commits, pull requests, and deployments for your tasks in a single snapshot. Measure metrics like pull request cycle time, and commit lead time to identify areas of improvement.
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Development Progress - AnalyticsVerse

Continuous Improvements is the only way to Achieve Excellence.

Engineering Benchmarks

Compare with process benchmarks of elite teams to make metrics actionable and get personalized recommendations on where to improve and identify your strengths to maintain and build upon.
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DORA Metrics

Research-backed DORA benchmarks indicate the maturity and excellence of your dev processes. A configurable, detail-oriented DORA dashboard allows you to continuously assess your team’s practices against that of elite teams.
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Engineering Excellence - AnalyticsVerse

Looking at Metrics won't Change them.
Driving Action will.

Goals and Notifications

Drive action and set direction by setting goals with target values and dates on productivity indicators and iteratively measure your progress. Set up notifications based on your goals to take timely action.
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Process Transformation

Optimizing process bottlenecks is the fastest way to unlock engineering productivity. Identify process bottlenecks and transform your processes by engaging your team and iteratively measuring progress.
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Actions and Goals - AnalyticsVerse

The Right way to Measure Developer Productivity (SPACE Framework)

Developer Productivity is not about squeezing more from your developers, it's about identifying areas of improvement and acting on them. And it can never be measured by one single metric or even one single dimension of metrics. Based on the ideology of the SPACE framework, AnalyticsVerse enables you to capture developer productivity in the truest sense possible with the most comprehensive and configurable way.
SPACE Metrics - AnalyticsVerse

Understand where your team is spending efforts to drive business outcomes

Track the progress of your initiatives (Epics) and analyze the effort invested in them to better drive business outcomes that positively impact your customers. Keep an active check on the amount of effort you are spending on “Making Progress” vs “Keeping the Lights on” to identify when the operational overhead starts impacting your ability to deliver customer value. AnalyticsVerse also enables you to look at effort spent across your type of tasks, and type of dev work and also allows you to define your own categories.
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Effort Investment - AnalyticsVerse

True Improvements come from Getting the Team Onboard and Engaging them.

Gamify using
Leaderboards

Engage your team by creating healthy competition within and between teams to compete for the best. Leaderboards give the push needed to improve on process metrics and drive productivity gains for your teams.

Engagement and
Customer Success

Help your team connect with the purpose and goals of adopting a data-driven approach to engineering leadership and productivity measurement. AnalyticsVerse supports and engages your team at every step of the journey, ensuring your success.
Team Engagement - AnalyticsVerse
How our Customers drive Impact
Best engineering teams choose AnalyticsVerse to improve engineering productivity and outcomes.
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AnalyticsVerse enhanced decision-making by delivering interesting insights on team and developer performance without adding process overhead
Jader Correa
Jader Correa | Ex-CTO
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AnalyticsVerse has helped us gain visibility into our engineering processes and enabled our entire team to have data backed conversations.
Roshan Hadal
Roshan Hadal | Sr. Director of Engineering
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AnalyticsVerse enabled us to bring standardization to our engineering processes, and measuring KPIs helped us identify which team can improve and in which areas.
Vivek Chhikara
Vivek Chhikara | Partner Engineering
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DORA metrics and benchmarks has helped us keep a tab on our engineering health and has been instrumental in our conversations with leadership.
Sam Fernando
Sam Fernando | Head of Engineering
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Getting visibility on how teams and individuals are performing is key to lead a modern dev team, AnalyticsVerse helped us identify our bottlenecks and take action to improve on them.
Anuraag Guptaa
Anuraag Guptaa | VP Engineering
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