7 Essential Team Performance Metrics To Track In Jira By Using Great Gadgets App
Measuring individual performance in agile teams is a sensitive but important topic. Agile principles emphasize collaboration over competition, but understanding how each team member contributes is still important for coaching, resource planning, performance evaluation, and identifying areas where support is needed.
One common question from team leads and managers is:
“How can I track the performance of each team member in Jira?”
Tracking team performance in Jira can be challenging if you’re not sure which metrics matter most or how to visualize them effectively. While Jira offers rich data, it doesn’t always provide it in a format that is easy to interpret – especially when it comes to measuring individual performance over time.
With Great Gadgets for Jira app and its powerful dashboard gadgets, you can create dashboards that clearly show the metrics you need to evaluate individual performance. Below are some key performance metrics you can track – and how to visualize them effectively by using Great Gadgets.
1. Story Points completed per sprint (per team member)
This metric shows how much work, in story points, each team member accomplishes in each sprint. It’s a simple measure of output and consistency. It helps you see if each team member is consistently delivering and to what extent.
Using the Pivot Table & Pivot Chart gadget offered by Great Gadgets, you can create dynamic reports that show how much work each team member completed in past sprints.
To achieve this, the gadget should be configured like this:
On the More Settings tab, make sure you choose to display the Display the ‘Percentage’ column and Display the ‘Average’ column options.
If you prefer a visual representation, switch the gadget’s display from Table to a chart (such as Grouped Column Chart or Line Chart).
2. Throughput – Number of issues completed per time period
Throughput measures how many issues each team member completes in a given timeframe (week, month, or sprint). Use the same Pivot Table & Pivot Chart gadget from Great Gadgets to visualize how many issues each team member completes per month, for example.
To achieve this, the gadget should be configured like this:
On the More Settings tab, make sure you select the date format to be MMM.
If you prefer a visual representation, switch the gadget’s display from Table Heatmap to a chart (such as Stacked Bar Chart).
3. Average Resolution Time (ART) per team member
This metric shows how quickly each person resolves their assigned issues. You can measure this by using the Time In Status gadget offered by Great Gadgets configured to calculate the average time in the workflow statuses prior to Done and group data by Assignee. This will allow you to better monitor SLA performance or spot bottlenecks in specific statuses for each team member.
To achieve this, the gadget should be configured like this:
On the More Settings tab, make sure you exclude the Done status category.
4. Average Handling Time (AHT) per team member
The average handling time measures the time it takes for a team member to complete an issue from the moment they effectively start working on it until it’s resolved. This is different from “time to resolution” because it focuses on the work in progress rather than the total lifecycle.
Using the Time In Status gadget offered by Great Gadgets you can easily visualize the average handling time per team member.
To achieve this, the gadget should be configured like this:
On the More Settings tab, make sure you include only the In Progress status category.
5. Work distribution per team member along the time
The Cumulative Flow Diagram (CFD) is often used to visualize overall work distribution and how work moves through different stages of the workflow over time. However, using the Cumulative Flow Diagram chart offered by Great Gadgets, you can configure it to show work distribution per team member, giving you a unique perspective on individual performance and workload balance.
To achieve this, the gadget should be configured like this:
By setting the Assignee field as the grouping option, the chart’s colored areas will represent each team member instead of the workflow statuses. This allows to instantly see how much work each person has been handling at any given time. It is a great way to identify if some team members are constantly overloaded or if work is spread evenly across the team.
6. Average Customer Satisfaction Score (CSAT) per team member
Average Customer Satisfaction Score (CSAT) measures how happy customers are with the service they’ve received from each team member. In Jira Service Management (JSM), or similar help desk setups, this usually comes from post-resolution surveys where customers rate their experience.
Using the Pivot Table & Pivot Chart gadget offered by Great Gadgets, you can track this metric to spot team members who consistently deliver high-quality service and identify those who may benefit from additional training.
To achieve this, the gadget should be configured like this:
If you prefer a visual representation, switch the gadget’s display from Table to a chart (such as Grouped Bar Chart).
7. Reopened issues and reopening ratio per team member
A reopened issue is an indicator that the original resolution didn’t fully address the problem. Tracking the number of reopened issues — and the reopening ratio — per team member can help uncover quality issues, misunderstandings in requirements, or process gaps.
Using the Advanced Issue Filter Formula gadget offered by Great Gadgets, you can generate these type of custom metrics by combining data from multiple filters or JQLs and displaying them using math formulas.
To achieve this, the gadget should be configured like this:
Putting it all together: The team performance dashboard
By focusing on these metrics and combining these gadgets – Pivot Table & Pivot Chart, Time in Status, Cumulative Flow Diagram, and Advanced Issue Filter Formula – you can build a complete Jira dashboard for tracking team performance. Such a dashboard gives you both the big-picture view of overall productivity and the granular insights into each team member’s contributions, helping you make data-driven decisions, balance workloads, and improve team efficiency over time.
Conclusion
Measuring individual performance in Agile environments is not about micromanaging – it’s about gaining the clarity needed to support your team, improve processes, and deliver better results.
Tracking team member performance in Jira doesn’t have to be complicated. With Great Gadgets you can create insightful, real-time dashboards that highlights each team member’s contribution and help drive better results. Whether you are working with Scrum, Kanban, ITSM or Agile-at-Scale, Great Gadgets provides the visibility you need to make informed decisions.
Start your free trial today and see how Great Gadgets can transform your Jira dashboards into powerful performance tracking tools.
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Danut M _StonikByte_
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