We all want our teams to deliver faster. But the productivity paradox is that often the fastest way to finish tasks is to start... fewer of them.
Today, let’s break down the fundamental relationship between WIP (Work In Progress) and Cycle Time. I will walk you through the theory and show you practically how to use the Time Metrics Tracker app by SaaSJet to identify and clear the "traffic jams" in your Jira workflow.
Imagine a highway.
What happens if you let too many cars onto the highway at once (High WIP)? Traffic stops, jams form, and every driver spends significantly more time on the road (High Cycle Time).
In project management, the same rule applies (known as Little’s Law):
The more tasks you work on simultaneously, the longer each one waits to be finished.
If you want to reduce Cycle Time (and deliver value to clients faster), you must control and optimize your WIP.
Jira itself is excellent at showing task status, but sometimes native reports lack the depth needed for analyzing time-based flow metrics. This is where Time Metrics Tracker: Time Between Statuses comes in as a dedicated solution.
Here are 3 steps to optimize your process using these specific gadgets.
Before treating the problem, you need a diagnosis. Is your process stable? Is the team overburdened?
For this, we use the WIP Run Chart Gadget. It visualizes exactly how many tasks were "in flight" every day over a specific period.
How this helps: You immediately spot trends. If the chart is constantly climbing, it’s a red flag: the team is starting new work faster than they are finishing old work. This guarantees that delivery times will slow down.
Expert Tip: Use this chart in Retrospectives to discuss why WIP spikes on certain days.
👉 Read more details about the WIP Run Chart in this article
Now, let’s look at the output. How is your current WIP level affecting your speed?
Configure the Agile Metrics Dashboard Gadget to display Cycle Time.
Settings: You can select specific statuses that mean "active work" for you (e.g., from In Progress to Done), and the app will automatically calculate the average time for this path. Also, you can configure your working hours in the app, and exclude holidays and weekends for accurate calculation.
The Insight: Compare Cycle Time during periods of High WIP vs. Low WIP. You will see a direct correlation. Use this data to defend the team against overload: "When we have 20 tasks in flight, it takes us 10 days to ship. When we cap it at 10, we ship in 4 days."
Averages are useful, but they can hide problems. If most tasks finish quickly but one "hangs" for a month, the average might look okay while the customer experience suffers.
The Scatter Plot Gadget visualizes every single task as a dot:
You will immediately see outliers—dots that are unnaturally high on the chart.
Actionable Advice: Click on an outlier dot directly from the gadget to open the ticket. Analyze the Transition History. You will often find the task was stuck in Waiting for Review or Blocked statuses that went unnoticed.
Don't just analyze problems after they happen. Set up Warning & Critical Time Limits in the app configuration.
This allows the team to swarm on delayed tasks in real-time, preventing them from becoming the outliers on your Scatter Plot.
WIP and Cycle Time are not just dry numbers. They are the pulse of your team's health. By reducing the amount of unfinished work, you accelerate the flow of value.
Try setting up these metrics on your dashboard today to turn "busy" into "productive."
Want to see this in action on your data? Book a personalized demo with our team. We will audit your current Jira workflow together, identify bottlenecks, and show you practical steps to reduce your Cycle Time using Time Metrics Tracker.
🔗 Try it free: Time Metrics Tracker on Atlassian Marketplace
Anastasiia Maliei SaaSJet
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