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This graph can only be viewed for Projects or Jira Boards with Sprints.
The Wiveez Flow Analytics Pro Velocity Chart allows you to track the velocity of a Scrum team across successive Sprints, comparing what was committed to at the start of the Sprint (the workload the team is committing to). to be carried out) and what was actually carried out (the work actually completed). This graph helps identify a team's ability to meet its commitments and better plan future Sprints based on its past velocity.
The Wiveez Flow Analytics Pro Velocity Chart has several key elements:
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Operation and Usefulness
The Velocity Chart in Wiveez Flow Analytics Pro is a powerful tool for:
Track Team Velocity and Capacity: By viewing the Commitment and Completed columns for each Sprint, the team can see how much work has been completed versus what was planned. This provides a better understanding of the team's actual production capacity over time.
Analyze Velocity Trends: The rolling average velocity curve smooths out individual fluctuations from Sprint to Sprint and shows an overall trend across multiple Sprints. This helps adjust expectations for future Sprints based on the team's actual capabilities.
Assess the team's predictability: Scrum predictability is a key indicator for measuring the team's ability to meet its commitments. If the ratio is close to 100%, it means that the team is very reliable in its forecasts and in accomplishing its work. If the ratio is too low, it indicates that the team often overestimates its ability to complete the work.
How to read this graph?
The Wiveez Flow Analytics Pro Velocity Chart consists of several visual elements that allow you to track both the velocity and predictability of the team across multiple Sprints.
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Let's imagine a Velocity Chart in Wiveez Flow Analytics Pro covering several Sprints:
Sprint with high commitment and lower achievement: If in a given Sprint, the team committed to completing 100 effort points, but only achieved 70, this shows that they overestimated their capacity to complete. work. The predictability curve for this Sprint could go down to 70%, indicating that only 70% of the work committed has been completed.
Stable Average Velocity: If the average velocity is stable around 80 points per Sprint, this shows that the team has a good understanding of its capacity, and this can serve as a basis for engaging in future Sprints.
Fluctuating Predictability: If the predictability curve shows significant fluctuations between Sprints, this may indicate a problem in planning or unforeseen events that disrupt the team's ability to accomplish the planned work.
Usefulness in
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Flow Analytics Pro
The Velocity Chart in Wiveez Flow Analytics Pro helps agile teams:
Monitor velocity: By visualizing the gaps between commitment and achievement for each Sprint, the team can adjust its future forecasts and better estimate its work capacity.
Analyze Velocity Trends: Using the average velocity curve, the team can identify long-term trends in their ability to get work done, allowing them to adjust expectations and plan more realistically.
Assess Predictability: By tracking Scrum predictability, the team can assess how well it is meeting its commitments, and use this information to refine its planning and engagement processes in upcoming Sprints.
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Filters
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Detailed ticket analysis
Wiveez Flow Analytics Pro allows the user to analyze in detail the performance of each ticket in the Sprint, by displaying the list of tickets associated with a point and displaying the details of the Flow Metrics of a ticket.
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Analyze with our AI Alice
Wiveez Flow Analytics Pro provides you with its AI, named Alice, to help you analyze graphs.
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