Impact, Not Activity, Defines Engineering Performance
Engineering leaders are under pressure to deliver faster without sacrificing quality or morale. But story points, commits, and velocity only measure activity — not outcomes. To improve effectively, teams need consistent, value-based visibility that connects delivery effort to real results.
Many Metrics, but No Shared Understanding
Data lives in Jira, GitHub, and CI/CD systems that each present a different view of performance. Teams define success in their own ways, making it difficult to identify where work flows smoothly or where it breaks down. Targetboard consolidates these signals into a single, consistent view of engineering progress.
You Can’t Improve What You Can’t See
Teams optimize for speed instead of meaningful progress. Rework increases, interruptions slow momentum, and discussions about performance lose clarity. Without visibility into what truly drives impact, teams risk burnout while striving to do more without achieving more.
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What You’ll Gain With TargetBoard
Data-Driven Visibility
See performance drivers across teams, projects, and releases with one connected view.
Continuous Optimization
Find friction, balance workloads, and maintain predictable delivery with workflow automation.
Aligned, Actionable Insights
Give peers and leadership one definition of success based on impact, not output.
How TargetBoard Makes Developer Productivity Measurable
TargetBoard unifies delivery data across your engineering lifecycle to show what’s driving efficiency — and what’s holding it back.
Connects Your Systems
Integrates Jira, GitHub, Bitbucket, and CI/CD tools into one connected view.
Analyze Efficiency Metrics
Tracks cycle time, lead time, throughput, and rework to pinpoint friction.
Correlate Data & Outcomes
Links engineering activity to roadmap delivery, quality, and customer impact.
Schedule a 30-minute call
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Get Productivity Clarity
Discover how TargetBoard helps engineering leaders measure and analyze developer productivity to improve value, based on impact, not just volume.
✨ Top New Insights
% Closed Dev-Items (Last 30d)
Team FrEM's % Closed Dev-Items increased from 12% to 6%, a 50% improvement.
Oct 11- Nov 9, 2025 vs.
Oct 11- Nov 9, 2025 vs.
Significant improvement indicates enhanced team efficiency and productivity.
✨ Top New Insights
% Closed Dev-Items (Last 30d)
Team FrEM's % Closed Dev-Items increased from 8% to 26%, a 225% improvement.
Oct 11- Nov 9, 2025 vs.
Oct 11- Nov 9, 2025 vs.
Significant improvement indicates enhanced team efficiency and productivity.
The Impact of AI
TargetBoard helps engineering leaders measure developer productivity by connecting data from Jira, GitHub, Bitbucket, and CI/CD tools. It tracks cycle time, flow efficiency, and rework to identify bottlenecks and link engineering performance to business outcomes.



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