For development teams struggling with accurate delivery timeline forecasts
Calculate your team delivery capacity based on historical sprint velocity and story point completion rates. Enable realistic commitments to stakeholders through data-driven forecasting and capacity planning.
Forecasted Delivery
288 pts
Velocity Per Sprint
48 pts
Planning Accuracy
80.0%
Team velocity of 48 story points per sprint enables forecasting 288 points over 6 sprints. Team planning accuracy is 80%, with 8 points per person per sprint.
Sprint velocity provides a data-driven foundation for forecasting delivery timelines and planning future work. By tracking actual story point completion over time, teams can make realistic commitments and identify trends in productivity that inform capacity planning and resource decisions.
Consistent velocity measurement helps teams improve estimation accuracy and sprint planning effectiveness. When velocity data is tracked systematically, it reveals patterns about team capacity, identifies blockers affecting throughput, and enables stakeholders to make informed decisions about project scope and timelines.
Forecasted Delivery
288 pts
Velocity Per Sprint
48 pts
Planning Accuracy
80.0%
Team velocity of 48 story points per sprint enables forecasting 288 points over 6 sprints. Team planning accuracy is 80%, with 8 points per person per sprint.
Sprint velocity provides a data-driven foundation for forecasting delivery timelines and planning future work. By tracking actual story point completion over time, teams can make realistic commitments and identify trends in productivity that inform capacity planning and resource decisions.
Consistent velocity measurement helps teams improve estimation accuracy and sprint planning effectiveness. When velocity data is tracked systematically, it reveals patterns about team capacity, identifies blockers affecting throughput, and enables stakeholders to make informed decisions about project scope and timelines.
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Book a MeetingSprint velocity provides the data foundation for realistic delivery forecasting. Teams that track velocity can predict completion dates with high accuracy, enabling reliable commitments to stakeholders and better capacity planning.
Understanding team capacity prevents over-commitment, reduces sprint failures, and improves team morale. Teams that commit to realistic story point totals based on historical velocity complete most planned work, compared to much lower completion rates for teams that over-commit.
Velocity tracking reveals trends over time: improving efficiency, impact of team changes, effect of technical debt, and seasonal patterns. This insight enables proactive adjustments to maintain consistent delivery.
Startup product team running 2-week sprints
Mid-size engineering team with established velocity
Scaling team balancing feature work with technical improvements
Enterprise team managing complex feature development
There is no universal "good" velocity - it is team-specific. What matters is consistency. A team consistently completing 40 points is better than a team varying between 30-80 points. Focus on stable, predictable velocity.
Story point estimation is relative to each team. One team's 5-point story might be another team's 8-point story. Never compare velocity across teams - only track trends within the same team over time.
Focus on removing blockers, reducing technical debt, improving estimation accuracy, minimizing context switching, and optimizing team collaboration. Velocity naturally improves as teams mature.
Declining velocity signals problems: accumulating technical debt, team changes, unclear requirements, external interruptions, or burnout. Investigate root causes and address them - do not push team to "go faster".
No - velocity is a measurement tool, not a performance target. Pressuring teams to increase velocity leads to point inflation (estimating stories higher) without actual productivity gains. Focus on sustainable, consistent delivery.
Minimum 3 sprints to establish initial baseline, 5-8 sprints for reliable forecasting. As you accumulate 12+ sprints of data, use rolling average of last 6-8 sprints to account for recent team changes.
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