Heads up! On March 5, starting at 4:30 PM Central Time, our community will be undergoing scheduled maintenance for a few hours. During this time, you will find the site temporarily inaccessible. Thanks for your patience. Read more.

×
Create
cancel
Showing results for 
Search instead for 
Did you mean: 
Sign up Log in

Kanban Analytics and Cycle Time with Agile Metrics Gadget 📊🚀

If you’re working in an agile environment, you know how important it is to keep your workflow smooth. But how do you track progress and spot bottlenecks? That’s where Kanban Analytics comes in.

Kanban Analytics helps teams visualize their work, measure performance, and continuously improve their processes. One of the most important metrics to track is Cycle Time—the time it takes for a task to move from “In Progress” to “Done.” A shorter cycle time means faster delivery and a more efficient team.

🔍 In this article, we’ll cover:

  • Why Kanban Analytics matters

  • How Cycle Time impacts your team’s efficiency

  • Rules for setting up a Kanban board for accurate Cycle Time tracking

  • How to correctly define the start and finish lines on your board

  • The formula for accurately calculating Cycle Time

  • The benefits of using dashboards for tracking metrics

  • Jira’s Control Chart

  • Best Practices for Kanban Analytics on the Dashboard

Also we will use Time Metrics Tracker | Time Between Statuses add-on as an example.  

Let’s break it down and see how you can take your Kanban reporting to the next level! 🚀

What is Kanban Analytics? 🧐

Pump It Crypto GIF by Pudgy Penguins.gif

Kanban analytics is the practice of monitoring and optimizing workflow efficiency in a Kanban system. It helps teams visualize their work, track progress, and identify bottlenecks to enhance overall performance. By analyzing key metrics, teams can continuously improve their delivery processes.

What is Cycle Time? ⏳

Compete Tour De France GIF by Pudgy Penguins.gif

Cycle time is the total duration it takes for an issue to move from the "In Progress" stage to "Done." It’s a critical metric for measuring efficiency, as it helps teams understand how quickly they can deliver work. Lower cycle time means higher efficiency and faster delivery! ⚡

Rules for Setting Up a Kanban Board for Accurate Cycle Time Tracking

Cosmo Kramer High Quality GIF.gif

To measure Cycle Time effectively, your Kanban board needs to be structured correctly. A poorly configured board can lead to inaccurate data, making it difficult to track efficiency and optimize workflow. Here are the key principles to follow when setting up your Kanban board:

  1. Clearly define workflow stages – Your board should reflect the actual steps a task goes through, from initiation to completion. The more precise your workflow, the more accurate your cycle time data will be.

  2. Limit Work in Progress (WIP) – WIP limits prevent tasks from piling up in any given column, which helps reduce cycle time and ensures a steady flow.

  3. Separate “Work in Progress” from “Done” states – Avoid mixing work that is actively being completed with tasks waiting for review, approval, or deployment.

  4. Use explicit policies – Each column should have clear rules on when an item is allowed to enter or leave a stage.

  5. Regularly refine your workflow – As your team’s processes evolve, ensure that your Kanban board reflects these improvements to maintain accurate reporting.

How to Correctly Define the Start and Finish Lines for Cycle Time Measurement

sad homer simpson GIF.gif

To calculate Cycle Time, you must determine when a task starts and when it is considered complete. Defining these points correctly ensures accurate tracking and meaningful insights.

  • Start Line (Entry Point) – The moment a task enters an “active” status.

    • Example: In a software development Kanban board, this could be when a ticket moves from Backlog to In Progress or Development Started.

    • Avoid using backlog or planning columns, as items sitting in these stages don’t contribute to actual execution.

  • Finish Line (Exit Point) – The moment a task is fully completed and ready for delivery.

    • Example: When an issue moves to Done, Released, or Deployed (depending on your workflow).

    • Ensure that this stage means no further work is needed, including testing and reviews.

🚨 Common mistakes to avoid:
❌ Measuring from backlog or idea stage – These stages are part of Lead Time, not Cycle Time.
❌ Ending at “Ready for Release” – If your team still needs to deploy or verify work, your cycle time measurement is incomplete.
❌ Including waiting times – If a task is “In Review” but isn’t actively worked on, it might distort the cycle time.

Formula for Accurately Calculating Cycle Time

Cycle Time is calculated as the difference between the time a task enters the active phase and the time it reaches completion.

friends fail GIF.gif

📌 Formula:

Cycle Time=End Date−Start Date\text{Cycle Time} = \text{End Date} - \text{Start Date}Cycle Time=End Date−Start Date

If your team works only on business days, consider adjusting for weekends and holidays to get a realistic measure.

Example Calculation:

  • A task moves to “In Progress” on March 1st, 10:00 AM

  • It moves to “Done” on March 5th, 3:00 PM

  • Cycle Time = 4 days, 5 hours (excluding weekends, if applicable)

For teams looking for a more granular breakdown, you can calculate Cycle Time per status by tracking the time spent in each stage of the workflow.

🚀 Pro Tip: Use tools like Time Metrics Tracker to automate this tracking instead of manually calculating it.

Why Use Dashboards for Kanban Analytics and Tracking Time Metrics? 📊

Jira dashboards provide an interactive way to monitor your workflow and track performance metrics. By integrating the gadgets to your daily or weekly monitoring, teams gain visibility into their processes, allowing them to make driven decisions and improve efficiency.

Explain Pump It GIF by Pudgy Penguins.gif

🔹 Key benefits of using dashboards:

  • Centralized view of your project’s performance 📍

  • Customizable reports for tailored insights 🎯

  • Real-time monitoring to detect bottlenecks 🚦

  • Driven decision-making for process improvement 📉


Who Can Benefit from Kanban Analytics? 🤝

👨‍💻 Software Development Teams – Track cycle time and lead time to improve sprint planning and optimize workflows.

🛠️ IT Operations Teams – Monitor incident resolution time and ensure smooth operations.

📦 Product Management Teams – Gain insights into work progress and delivery timelines.

📢 Marketing & Content Teams – Track campaign and content production cycles.

📅 Project Management Teams – Ensure projects stay on track by analyzing workflow efficiency.

Come At Me Penguins Of Madagascar GIF by Pudgy Penguins.gif

Free Option in Jira to Monitor Cycle Time 🆓

Jira provides a built-in method to track cycle time using Jira Control Chart. This tool is available in Jira Software and allows teams to measure how long issues stay in each status.

jira_agile_control_chart_base.png

✅ Pros of Using Jira’s Built-in Control Chart:

  • No additional cost – it’s included in Jira Software.

  • Easy to access within Jira Reports.

  • Provides a historical view of issue resolution trends.

❌ Cons of Using Jira’s Built-in Control Chart:

  • Limited customization compared to third-party add-ons.

  • Cannot filter data by specific timeframes or issue types.

  • Lacks flexibility in comparing multiple cycle time metrics in one place.

Best Practices for Kanban Analytics on the Dashboard 🏆

Effective Kanban analytics requires the right tools and a structured approach. Here’s how you can maximize insights using a dashboard:

Track Multiple Time Metrics ⏱️

Kanban teams need a comprehensive view of their workflow. By tracking different time-based metrics such as:

  • Cycle Time – Measures how long it takes an issue to be completed.

  • Lead Time – Tracks the time from issue creation to resolution.

  • Design review – Shows how long an issue has spent in the Design Review stage before moving forward in the workflow.

1...png

Having these metrics available in a single dashboard gadget allows teams to pinpoint delays and optimize processes efficiently.

Use Advanced Filtering for Deep Insights 🔍

To analyze workflow bottlenecks effectively, teams need the ability to filter issues based on:

  • Created, Updated, or Resolved status – Enables teams to review changes over different periods.

  • Custom Date Ranges – Helps track performance during sprints, months, or quarters.

  • Specific Projects and Teams – Ensures relevant data is being monitored.

2.png

Filtering allows teams to focus on the most critical issues without unnecessary noise.

Customize Data Views for Clarity 📊

Different teams have different needs, which is why customization options are crucial:

  • Drag-and-Drop Columns – Arrange data in a way that makes the most sense for your analysis.

  • Time Format Options – Choose between days, hours, or minutes for precision.

  • Compact or Expanded Views – Adjust the visualization to suit team preferences.

3.png

A well-structured view ensures that key insights are immediately visible without extra clicks.

Dark Mode and Accessibility Features 🌙

Not all users prefer the same interface. Dashboards that support Dark Mode and responsive design:

  • Reduce eye strain for long-hour monitoring.

  • Offer a sleek, modern interface.

  • Work effectively across different screen sizes.

4.png

Ensuring an intuitive experience makes it easier for teams to adopt Kanban analytics effectively.

Conclusion: Take Your Kanban Analytics to the Next Level 🚀

Tracking Cycle Time and other key metrics is essential for optimizing workflows and driving continuous improvement. While Jira provides a basic overview with its Control Chart, true agility requires deeper insights, flexibility, and customization.

With the right tool, your team gains a clear, data-driven view of workflow efficiency, helping you make informed decisions that lead to faster delivery, better resource allocation, and improved performance. Whether you need to compare multiple time metrics, analyze bottlenecks, or customize reports, having the ability to tailor your dashboard to your team’s needs makes all the difference.

So, what’s next? The best way to enhance your Kanban reporting is to take action—implement smarter analytics, track the right metrics, and optimize your team’s performance. 🚀

Ready to see the impact of streamlined analytics? Start tracking smarter today! 🔍📊

 

2 comments

Comment

Log in or Sign up to comment
Luis Ortiz - Catapult Labs
Rising Star
Rising Star
Rising Stars are recognized for providing high-quality answers to other users. Rising Stars receive a certificate of achievement and are on the path to becoming Community Leaders.
February 18, 2025

Great insights! 📊 Understanding cycle time and other Kanban analytics is crucial for teams looking to optimize their workflow and identify bottlenecks before they become major blockers.

One key takeaway we’ve seen is that raw data alone isn’t enough—teams get the most value when these insights feed directly into continuous improvement practices like Agile retrospectives. Tracking cycle time trends is powerful, but pairing that with structured discussions about why certain tasks took longer than expected (or moved too quickly) helps teams make data-informed process improvements rather than just reacting to numbers.

How do teams using Jira ensure that Kanban analytics translate into real action? Do you feed these insights into retrospectives, stand-ups, or other Agile ceremonies? 

Prathima
I'm New Here
I'm New Here
Those new to the Atlassian Community have posted less than three times. Give them a warm welcome!
February 21, 2025

Hello,
I'm trying to measure our Kanban team's throughput. Our story workflow consists of statuses from Backlog-Grooming-Development-Testing-Done. 
I can measure the time duration a ticket was in a particular status but what is the best way to measure how many tickets a developer completed development within a given timeframe? 

Ex: BSA created ticket on 1/1. BSA completed Grooming and assigned to a Developer on 1/5. Developer completed development and assigned to Tester by 1/10. Tester completed Testing and closed ticket on 1/12. How do I measure the no. of tickets a Developer completed development for in January?

Thanks so much for your help!

TAGS
AUG Leaders

Atlassian Community Events