Improved Insights into the Distribution of Work

New Distribution Report Bar Chart

Understanding the distribution of your team’s work can help you make better decisions about how work is planned, prioritized, and assigned.

We recently introduced improved Distribution and Assigned User Reports in LeanKit to make distribution information easier to read and interpret – especially if your board is used by a large team with a high volume of cards flowing through.

New Improvements to Distribution Report

To help you make decisions you need to make, we’re introducing several improvements to our Distribution report.

Moving From a Pie to a Bar Chart

Pie charts have their place, but their usefulness is limited to when you’re dealing with less than five or six values, and the angular differences between them are visually discernible. Bar charts portray all of the data a pie chart does with these advantages:

  • No matter how many values there are, they are listed in a way that is easy to read. This works for two data segments or one hundred — without the visual overload.
  • All text is visible and does not overlap, thanks to horizontal bars.
  • Percentages and/or counts are easily accessible.


Improved readability by presenting card distribution in a bar chart that quickly demonstrates the differences in data.

Including Actionable Insights

Seeing the distribution of work by Priority, Class (Custom Icon), and Card Type shows the contribution of those unique attributes towards the whole. You can scan down the edge of the bars and quickly discern magnitude differences in length.

Now that color isn’t needed to distinguish parts of the whole, it can be used for another purpose: to demonstrate the trend of what work is not started, started or finished.

  • Not Started: Cards located in the backlog.
  • Started: Cards that are in progress.
  • Finished: Cards located in a “Connected Card Done” lane or the archive.

Compare Not Started, Started, and Finished values to:

  • Recognize when work of lesser value/lower cost of delay is being prioritized over work with higher value/higher cost of delay.
  • Identify work allocation trends that may highlight a need for improving your board setup.


Identify areas that may require attention as you ask the question, “Are we pulling the right work?”

Separating Assigned User Distribution

We’ve created an Assigned User report, separate from the Distribution report, to help you:

  • Identify individuals or skill sets that are overburdened and need assistance.
  • Make better decisions around key resource capacity.
  • Understand where additional resources might be needed on the team.

Breaking this Assigned User Report out into its own report allows for easier navigation between the two reports and will enable us to continue to improve upon the information that is surfaced in each report going forward.

Assigned Users

Evaluate assigned user information quickly to help determine if work is effectively allocated.

Tools for Continuous Improvement

Being able to understand the distribution of work within your system helps inform your continuous improvement decisions. For example, you may find that your Operations team is constantly putting down new architecture work to respond to a specific type of unplanned outage. Or that your Development team has a growing backlog of bug fixes that could hold up delivery on a key new feature. Or that a critical resource in your QA process is overburdened with work right now, representing a bottleneck to new feature delivery.

The enhanced Distribution report and new Assigned User report provide the insight you need to focus your improvement efforts and make adjustments to speed delivery. They also help provide the data you need to communicate constraints with key stakeholders. For details on how to use LeanKit reports, visit our Knowledge Base.

Katie St. Francis

Katie is a constant learner, Lean practitioner and product enthusiast. As a Product Manager at LeanKit, she works to help solve customer problems and help them find ways to deliver value faster. She spends her spare time crunching data to find opportunities for continuous improvement and asking “why.” Follow her on Twitter at @kstfrancis.