Unlocking 360-Degree Engineering Team Insights

Discover how Allstacks' new features provide unparalleled insights into engineering team dynamics and performance, combining real-time data with qualitative feedback and AI impact analysis.

 Developer Experience (DevEx): Beyond the Numbers

Gone are the days when engineering productivity was measured solely by lines of code or commit frequency. Allstacks' new Developer Experience (DevEx) feature recognizes that true team performance lies at the intersection of quantitative metrics and qualitative feedback.

At its core, DevEx combines real-time productivity data with structured team feedback through a seamless integration with Slack. This combination provides engineering leaders with a comprehensive view of their team's experience, encompassing everything from tool interactions to process efficiency and team dynamics.

What makes DevEx particularly powerful is its flexibility in gathering feedback -  Leaders can:

  • Quickly define survey audiences using Allstacks' intuitive tagging system
  • Set custom survey cadences that align with team rhythms
  • Deploy surveys through Slack, maximizing engagement by meeting developers where they already work
  • Track sentiment trends across different teams and time periods

Learn more here: https://www.allstacks.com/developer-experience-surveys

GitHub Copilot Integration: Measuring AI's Impact

In parallel with DevEx, Allstacks is introducing sophisticated integration with GitHub Copilot, addressing one of the most pressing questions in modern development: How is AI actually impacting our team's performance?

This integration provides granular insights into:

  • Real-time adoption rates and usage patterns
  • Copilot use and recommendation acceptance
  • Cycle time impact between Copilot and non-Copilot users
  • Code quality metrics across AI-assisted and traditional development
  • Review process efficiency with and without AI assistance

The Power of Combination: A True 360-Degree View

When these two capabilities work in tandem, they create something truly remarkable. Engineering leaders can now correlate AI tool adoption with developer satisfaction, understand how automated assistance impacts team morale, and identify where technology investments are yielding the best returns.

Imagine being able to answer questions like:

  • Are teams that heavily utilize Copilot reporting higher job satisfaction?
  • How does AI assistance impact both velocity and developer well-being?
  • Which teams are getting the most value from their AI tools, and why?

This combination of quantitative metrics and qualitative feedback creates a feedback loop that's invaluable for:

  • Making data-driven decisions about tool investments
  • Identifying areas where teams need additional support
  • Understanding the human impact of technological changes
  • Optimizing the development environment for both productivity and satisfaction

Read more about copilot integration: https://www.allstacks.com/integrations/copilot

The Future of Engineering Analytics is Here

These new capabilities from Allstacks represent a significant step forward in engineering analytics. By bringing together the human element of software development with concrete performance metrics and AI impact assessment, organizations can now make more informed decisions about their development processes and team support structures.

The result? A more complete, nuanced understanding of engineering team performance that goes beyond numbers to capture the full story of how teams work, feel, and succeed together.



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