Product Version Release: Using Time in Status Reports to Improve Team Collaboration

📝 Context: Evaluating your team's performance over the timeframe it takes to develop one product version can provide valuable insights into productivity and workflow efficiency. This guide explains how to use the Time in Status metric in Jira to analyze your team's productivity by product version.

📝 Context: Evaluating your team's performance over the timeframe it takes to develop one product version can provide valuable insights into productivity and workflow efficiency. This guide explains how to use the Time in Status metric in Jira to analyze your team's productivity by product version.

🤔 User Problem: Teams and project managers need a way to analyze productivity and workflow efficiency over the development cycle of a product version. They need to understand how much time is spent in each status, identify bottlenecks, and make data-driven decisions to improve future performance.

🤔 User Problem: Teams and project managers need a way to analyze productivity and workflow efficiency over the development cycle of a product version. They need to understand how much time is spent in each status, identify bottlenecks, and make data-driven decisions to improve future performance.

First, you need to go to the Jira filter and create a selection for a specific version.

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Then, go to the app and create reports on the saved filter.

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Time in Status Report

Interpreting the results of the Time in Status report in Jira requires an understanding of the data presented in the table and the ability to identify trends, patterns, and areas for improvement. 

Here are some tips for interpreting the results of the Time in Status report: 

  1. Look at how much time issues are spent in each status to identify bottlenecks or areas where they get stuck. For example, if issues take a long time in the "In Progress" status, it could indicate that the team is struggling to complete the work or is more complex than initially anticipated.

  2. Consider the context of the data when interpreting the results. For example, if the team was working on a particularly complex or high-priority issue, it might have skewed the results of the Time in Status report.

  3. Use the insights you've gained from the Time in Status report to make data-driven decisions about improving the team's performance in future versions. For example, adjust the team's workflow to eliminate bottlenecks, provide additional training and resources to team members struggling with certain types of issues, or prioritize high-impact issues to improve the team's velocity.

Pivot Table View

Use the Pivot table feature to group the data by criteria such as issue type, assignee, or priority. This can help you identify trends and patterns specific to certain types of issues or team members.

For example, you can create a filter for two versions and generate a report in the pivot table showing the number of hours spent in statuses broken down by Assignee. This way, you will see how the amount of time developers spend working in different versions differs and be able to analyze these differences qualitatively.

You can also estimate the total time in statuses by version in a tabular report or chart view.

Average Time in Status Report

This report shows the average time for each status. The metrics allow you to divide the development period into days, weeks, and months and get average values accordingly. This way, you can identify whether the development process was stable, whether there were any days when there were delays, etc.

Status Entrance Date Report

With this report, you can illustrate each task's timeline and see which days it changed status. This way, you can ensure that you are planning releases correctly (considering the size and complexity of the issue), that tasks are moving through each workflow stage on time, and so on.

📈 Outcomes:

  • Identify Bottlenecks: Pinpoint where tasks are getting stuck in the workflow.

  • Measure Productivity: Understand the typical duration of tasks or issues at each stage.

  • Optimize Workflows: Make data-driven decisions to improve workflow efficiency.

  • Track Progress: Monitor the progress of tasks and identify delays.

  • Improve Team Performance: Use insights to enhance team productivity and workflow efficiency.

📈 Outcomes:

  • Identify Bottlenecks: Pinpoint where tasks are getting stuck in the workflow.

  • Measure Productivity: Understand the typical duration of tasks or issues at each stage.

  • Optimize Workflows: Make data-driven decisions to improve workflow efficiency.

  • Track Progress: Monitor the progress of tasks and identify delays.

  • Improve Team Performance: Use insights to enhance team productivity and workflow efficiency.

If you need help or want to ask questions, please contact SaaSJet Support or email us at support@saasjet.atlassian.net

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