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Easy Agile Insights connects directly to your Jira instance and automatically pulls the metrics that matter and draws on Easy Agile's experience to tailor insights for your team.
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app.easyagile.com/dashboard
Nov 16, 2025 – Jan 15, 2026
🎉
Strong Delivery Performance with 53 Items Completed
Great work team! You completed 53 work items during this analysis period, demonstrating consistent delivery momentum. Your median cycle time of 4 days shows efficient flow through your development process.Median cycle time
4 days
-33% vs last period
Maximum cycle time
56 days
+195% vs last period
Completed work items
53 items
-2% vs last period
Cycle Time Variability with Significant Outliers
Observation
The team's cycle time performance shows concerning variability with 8 work items (15%) taking exceptionally long to complete. While the median cycle time of 4 days is healthy, these outliers are pulling the average up significantly and creating unpredictability in delivery timelines.Impact
Extended cycle times for 15% of work items creates unpredictable delivery schedules, making sprint planning and stakeholder commitments challenging. Long-running items also tend to accumulate scope creep and integration complexity.
Recommendations
1
Implement story point estimation and work breakdown sessions to identify and split large work items before they enter the sprint.2
Establish daily standups with explicit focus on items aging beyond 15 days to surface blockers early and enable team swarming.3
Consider WIP limits to prevent too many items from being in progress simultaneously, which often leads to context switching and delays.Detailed insights with AI-Powered recommendations based on your Jira data
Stop drowning in data and start taking action. Our AI analyzes your team's patterns to surface what's working, what's not, and exactly what to do about it — in plain English.
- Celebrates team wins
- Identifies bottlenecks before they become problems
- Prioritized recommendations you can act on today
- Context-aware insights that understand your workflow
app.easyagile.com/dashboard
Nov 16, 2025 – Jan 15, 2026
🎉
Strong Delivery Performance with 53 Items Completed
Great work team! You completed 53 work items during this analysis period, demonstrating consistent delivery momentum. Your median cycle time of 4 days shows efficient flow through your development process.Median cycle time
4 days
-33% vs last period
Maximum cycle time
56 days
+195% vs last period
Completed work items
53 items
-2% vs last period
Cycle Time Variability with Significant Outliers
Observation
The team's cycle time performance shows concerning variability with 8 work items (15%) taking exceptionally long to complete. While the median cycle time of 4 days is healthy, these outliers are pulling the average up significantly and creating unpredictability in delivery timelines.Impact
Extended cycle times for 15% of work items creates unpredictable delivery schedules, making sprint planning and stakeholder commitments challenging. Long-running items also tend to accumulate scope creep and integration complexity.
Recommendations
1
Implement story point estimation and work breakdown sessions to identify and split large work items before they enter the sprint.2
Establish daily standups with explicit focus on items aging beyond 15 days to surface blockers early and enable team swarming.3
Consider WIP limits to prevent too many items from being in progress simultaneously, which often leads to context switching and delays.The Metrics That Actually Matter
Dive into the data that backs our recommendations. Easy Agile Insights intuitively displays the metrics that are proven to predict delivery success and team health.
- Cycle Time — How fast work flows from start to done
- Throughput — Keep an eye on your team's consistency
- Work in Progress — The hidden killer of productivity
- Trend analysis to spot improvements or regressions
app.easyagile.com/dashboard
Nov 16, 2025 – Jan 15, 2026
🎉
Strong Delivery Performance with 53 Items Completed
Great work team! You completed 53 work items during this analysis period, demonstrating consistent delivery momentum. Your median cycle time of 4 days shows efficient flow through your development process.Median cycle time
4 days
-33% vs last period
Maximum cycle time
56 days
+195% vs last period
Completed work items
53 items
-2% vs last period
Cycle Time Variability with Significant Outliers
Observation
The team's cycle time performance shows concerning variability with 8 work items (15%) taking exceptionally long to complete. While the median cycle time of 4 days is healthy, these outliers are pulling the average up significantly and creating unpredictability in delivery timelines.Impact
Extended cycle times for 15% of work items creates unpredictable delivery schedules, making sprint planning and stakeholder commitments challenging. Long-running items also tend to accumulate scope creep and integration complexity.
Recommendations
1
Implement story point estimation and work breakdown sessions to identify and split large work items before they enter the sprint.2
Establish daily standups with explicit focus on items aging beyond 15 days to surface blockers early and enable team swarming.3
Consider WIP limits to prevent too many items from being in progress simultaneously, which often leads to context switching and delays.app.easyagile.com/dashboard
Nov 16, 2025 – Jan 15, 2026
🎉
Strong Delivery Performance with 53 Items Completed
Great work team! You completed 53 work items during this analysis period, demonstrating consistent delivery momentum. Your median cycle time of 4 days shows efficient flow through your development process.Median cycle time
4 days
-33% vs last period
Maximum cycle time
56 days
+195% vs last period
Completed work items
53 items
-2% vs last period
Cycle Time Variability with Significant Outliers
Observation
The team's cycle time performance shows concerning variability with 8 work items (15%) taking exceptionally long to complete. While the median cycle time of 4 days is healthy, these outliers are pulling the average up significantly and creating unpredictability in delivery timelines.Impact
Extended cycle times for 15% of work items creates unpredictable delivery schedules, making sprint planning and stakeholder commitments challenging. Long-running items also tend to accumulate scope creep and integration complexity.
Recommendations
1
Implement story point estimation and work breakdown sessions to identify and split large work items before they enter the sprint.2
Establish daily standups with explicit focus on items aging beyond 15 days to surface blockers early and enable team swarming.3
Consider WIP limits to prevent too many items from being in progress simultaneously, which often leads to context switching and delays.Trusted by teams at leading companies
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Principal Financial Group
This is a great feature to start our retros with and gets everyone in the rhythm of critiquing our performance. It is very helpful to have quantifiable feedback as well that is based on evidence rather than anecdote. Definitely keep this!
Citizens Bank