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Complete visibility into time & dollars spent
Create meaningful reports and dashboards
Set targets and get notified of delivery risks
Track and forecast all deliverables
Create and share developer surveys
Align and track development costs
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:
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:
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:
This combination of quantitative metrics and qualitative feedback creates a feedback loop that's invaluable for:
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.