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Optimized Sprint Capacity Plan
PostedOctober 14, 2024
UpdatedOctober 14, 2024
ByDawn Christine Simmons
Optimized Sprint Capacity Plan outlines a strategy to optimize sprint capacity by balancing high-complexity and high-volume tasks with early QA involvement. The goal is to maintain sustainable velocity, ensure quality, and manage workloads efficiently across development and QA teams.
The video concepts are shared by Gary Tsang, are great tips to improve the velocity of a scrum team.
Balanced Work Distribution with Shift-Left Testing
Low Point/High Volume Stories
- Assign higher volume of low point based well-documented tasks to citizen developers or less experienced developers.
- Focus on simple, low-risk tasks with quick turnaround to QA with clear requirements.
- Involve QA early by using a parallel testing pipeline:
- Hand off tasks to QA at 80-90% completion, even mid-sprint.
- Prevent bottlenecks with continuous handoffs.
High Point/High Complexity Stories
- Assign lower volume of higher complexity, higher point based, high-risk tasks to senior developers.
- Focus on tasks that require deeper analysis and have a higher impact.
- Offload simpler tasks to other team members to prevent senior developer burnout.
Key Workflow Outcomes
- High-Volume Tasks: Maintain sprint velocity by delivering smaller tasks quickly.
- High-Complexity Tasks: Deliver strategic, high-impact features.
- Shift-Left Testing: Minimize last-minute bottlenecks with early QA involvement for smoother deployments.
Sprint Metrics to Track Capacity Continuous Improvement
Metric | What it Measures | Why it Matters | What to Track |
---|---|---|---|
Velocity Tracking | Total points completed per sprint | Ensure balanced workload by story type | Track complex vs. simple story points |
WIP Limits | Stories/tasks in progress at once | Prevent overload, ensure smooth flow | Monitor WIP for developers and QA |
Lead Time | Time from creation to completion | Identify blockers, improve efficiency | Compare lead times for story types |
Cycle Time | Time from “In Progress” to “Done” | Detect bottlenecks and delays | Track QA handoff and completion times |
Defect Rate | Defects found per sprint | Assess code quality and testing gaps | Track defects by story type/phase |
Story Distribution | Ratio of complex to simple stories | Keep workloads balanced across teams | Monitor percentage of story types |
QA Throughput | Stories tested and approved per sprint | Avoid QA bottlenecks, ensure smooth flow | Track tasks ready for QA mid-sprint |
Sprint Predictability | Committed vs. completed stories | Improve planning and execution | Track missed or extended tasks |
Blocked Stories | Number and duration of blocked tasks | Identify blockers and dependencies | Track block duration and root causes |
Burn-Down/Burn-Up | Sprint progress towards completion | Visualize real-time progress | Identify work left before sprint ends |
Implementation Steps
- Agile Tools Setup
- Use Jira or ServiceNow Agile dashboards to monitor metrics.
- Create workflows reflecting the dual-track approach with WIP limits.
- Sprint Planning and Retrospective Process
- Use metrics to balance complex and simple tasks during sprint planning.
- Identify improvement areas during retrospectives, focusing on QA handoffs and blockers.
- Predictive Reporting
- Analyze historical data to forecast the ideal story mix.
- Monitor trends to optimize QA and development resources.
Conclusion
This strategy ensures high-complexity and high-volume tasks are delivered efficiently. Early QA involvement prevents testing bottlenecks, and tracking key metrics provides insights to improve velocity and workflow. By continuously monitoring and refining this process, the team can achieve sustainable progress and meet product goals effectively.
Other Optimized Sprint Capacity Plan Resources
- Agile at scale 101
- Agile-case-study
- Agile Dashboards – YouTube
- Agile Development ScrumPrograms
- Agile Development – ServiceNow
- Agile Methodologies Collaborative Articles – 100 Articles on Agile Methodologies (linkedin.com)
- Agile Scrum Master Guide
- Agile Sprint Dashboard
- DevOps Automated Test
- Exploring Agile Development 2.0
- Mastering Agile Product Management: Framework, Practices, and Success Strategies | Marcin Majka
- ServiceNow Agile Enhancements Process
- Useful Jira Reports, graphs metrics for Scrum Teams

Tags:
- agile collaboration
- agile development
- agile metrics
- agile QA
- backlog grooming
- CI/CD pipelines
- continuous integration
- cycle time tracking
- defect management
- development workflows
- product backlog management
- Scrum
- scrum capacity
- shift-left testing
- sprint planning
- sprint predictability
- sustainable velocity
- TDD
- test automation
- WIP limits
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