Extracting the Date When Status Changed

Owned by Iryna Komarnitska
Aug 21, 2024
2 min read

📝 Context: Managers and teams using Jira often need to understand when issues arrive in each status to identify bottlenecks, improve processes, and accurately forecast timelines. However, Jira's built-in reporting provides limited visibility into these status transition times. This guide provides solutions to common questions about tracking status changes and extracting transition dates in Jira.

📝 Context: Managers and teams using Jira often need to understand when issues arrive in each status to identify bottlenecks, improve processes, and accurately forecast timelines. However, Jira's built-in reporting provides limited visibility into these status transition times. This guide provides solutions to common questions about tracking status changes and extracting transition dates in Jira.

🤔 User Problem: Teams need a way to track when issues transition between statuses to identify bottlenecks, improve processes, and accurately forecast timelines. Jira's built-in reporting provides limited visibility into these status transition times, making it difficult to pinpoint problem areas and uncover optimization opportunities.

🤔 User Problem: Teams need a way to track when issues transition between statuses to identify bottlenecks, improve processes, and accurately forecast timelines. Jira's built-in reporting provides limited visibility into these status transition times, making it difficult to pinpoint problem areas and uncover optimization opportunities.

To extract the date when the status changed, follow these steps:

  1. Choose the Status Entrance Date report

  2. Filter issues by assignee, project, sprint, JQL, or any other option you need.

  3. Select the date ranges for the data calculation.

The Status Entrance Date report gives you granular visibility into your real-world cycle time and workflow patterns, which can expose bottlenecks and inform more accurate forecasting.

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📈 Outcomes:

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

  • Improve Processes: Understand the time spent in each status to optimize workflows.

  • Accurate Forecasting: Use historical data to accurately forecast timelines.

  • Enhanced Visibility: Gain granular visibility into status transitions and workflow patterns.

📈 Outcomes:

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

  • Improve Processes: Understand the time spent in each status to optimize workflows.

  • Accurate Forecasting: Use historical data to accurately forecast timelines.

  • Enhanced Visibility: Gain granular visibility into status transitions and workflow patterns.

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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