Pivot tables are a powerful tool for data analysis that offers flexibility, efficiency, and insights, enabling users to make informed decisions and drive business outcomes effectively.
They allow you to analyze data, find correlations, and identify trends deeply. You may not need it and are satisfied with the usual simple reports. There have been situations where you would like to dig deeper and understand specific indicators in more detail, but the reluctance to look for tools for this stopped you. Or you need to learn how to use pivot tables in your workflow.
Let's analyze a few case studies where pivot tables become an indispensable assistant and guide to the world of insights.
To illustrate the use cases, we use the Time in Status for Jira app by the SaaSJet.
In the app, you can customize tables for your needs using the following options:
For example, you need to display the time in the status for interrelated tasks. That is when changing the status of a task in one project requires changing the status of a linked task in another project.
Unfortunately, it is not possible to display this information using only the built-in functions of Jira. However, we can generate the desired report with the assistance of the pivot table view in Time in Status for Jira.
So, we have the following initial data:
In the given context, involving multiple JSM projects and dependencies on linked issues with distinct workflows, computing the time spent in status or duration offered significant insights into the efficiency and efficacy of support and service resolution workflows.
Following a straightforward process and employing a JQL query, users can generate a tailored report detailing the time spent in status for linked tasks across various JSM projects.
Using this report, the user can now measure and learn end-to-end resolution duration, resolution time for supporting issues, comprehensive-time evaluation, issue-specific performance metrics, etc.
By analyzing time and story point estimation in a pivot table, you can gain valuable insights into developer performance, sprint progress, and resource utilization, helping to optimize workflow efficiency and achieve project objectives effectively.
As a result, you will get the time in progress and story points for each assignee.
With such a report, you can get answers to important questions and insights about your workflow that will help you optimize it or allocate resources better.
For instance:
By analyzing the duration spent by each assignee in each status, you can gain valuable insights into workflow efficiency, identify potential bottlenecks, and make data-driven decisions to optimize processes and improve overall project performance.
As a result, you will get the Assignee Time per Status.
By determining the duration spent by each assignee in each status, you can gain insights into several aspects of your project workflow, including:
To summarize, everyone needs deep data analysis. When you look at a project/sprint in general, you only sometimes have the opportunity to see the details. And as you know, the devil is in the details. Even a tiny nuance can introduce an imbalance in the workflow and significantly reduce team productivity.
To help you break down your data into small pieces and analyze it qualitatively, we offer you a 30-day trial. Also, we will be happy to meet you on a demo call and tell you more about Time in Status for Jira app and how you can implement it in your workflow.
See you at SaaSJet! 🙂
Iryna Komarnitska_SaaSJet_
Product Marketer
SaaSJet
Ukraine
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