The board analytics have been among the most valuable features of Kanbanize. Now, they have become even more powerful and provide you with a greater understanding of the processes that occur every day in your workflow. We believe that, only when you have all the relevant data at your disposal can you make optimal decisions in your work. That is why we aim to enhance and improve our analytics as much as we can!
The new package of analytics consists of two common sections, a dashboard, and eight different charts to visualize the data from your accounts. The common sections are placed on the left and right side of your screen. The first one provides you with the ability to filter the time period that you wish to analyze and the second – to include the specific filters available for each chart.
Тhe New Analytics Dashboard
The new dashboard is the first thing that you are going to see upon entering the premium analytics in your Kanbanize account. It is designed to provide you with general information about the cycle time of the cards on your board, the number of tasks in progress, number of assignments that can be completed in the next 30 days, stability of your workflow, and how long it would take for your team to complete the remaining cards on the particular board you are examining.
The vertical axis represents the cycle time measured in days while the horizontal one visualizes the filtered time period. On the right side of the vertical, you will notice different percentiles. They represent the amount of items that have been completed for less than the Y-axis number of days. For example, the image above shows that 85% of the cards have been completed in 4 days or less.
Each dot represents a cycle time duration. The longer it took for a card to be completed, the higher the position that it will take on the chart. Upon hovering over a dot, an information window will pop up showing the number of cards it represents. Clicking on it will freeze the window on your screen and allow you to select the card/s that were finished on this day and see more detailed information about them. The IDs of the tasks will be listed inside and selecting them will open the card details for each one.
A Cycle Time Histogram allows you to see how your data is shaping your predictability. The Cycle Time Histogram gives you a concise view of the shape of your Cycle Time Data. Hover over each bar to see its associated Cycle Time and the number of items it contains. Just like the Scatterplot, you can see the standard percentile bands that your data falls into.
With the help of this histogram, you can visualize a statistic of the throughput of cards on a daily basis. This way, you can keep track of the productivity levels of your team. The vertical axis represents the number of days while the horizontal shows a number of items that were completed in a day.
The health of your process usually comes down to three metrics: WIP, Cycle Time, and Throughput. The new CFD allows you to visualize those metrics like never before. This is a new and more powerful cumulative flow diagram that builds upon the cumulative flow that has been available to Kanbanize users up until this point in a significant way. It allows you to filter the flow more precisely (e.g. by colour, assignee, priority, etc.). You can zoom in and out of specific sections of interest, as well as change the view of the layers of the filters on the right side of your screen.
Monte Carlo simulations are designed to give you a prediction about the future based on past results. In this case, the simulation will show you how many cards are likely to be completed within a specified time frame and the statistical chances of this happening. Essentially, the top chart is a throughput histogram for the filtered time frame and serves as the base of the prediction. With the help of the middle chart, you can simulate the prediction based on the throughput of a particular time range, when your process was most stable. The last one is the Monte Carlo simulation itself. On the upper horizontal axis, you can see the statistical chance of each of the predictions coming true in percentage points, so you can be as exact as possible. You can change both the number of simulations that generate the prediction as well as the simulation input from the filters on the right side of the screen. This will allow you to flexibly predict how many cards might be completed at a future range in time based on historical data.
The second Monte Carlo simulation from the new analytics package can help you predict when a specified amount of cards will be completed. Unlike the How Many simulation described above, here you need to input the number of cards that you wish to see completed in order to validate your assumption and get a better idea of the time it will take you.
As the name suggests, this chart will show you the cards that are in progress on your board, which section they are in and how long they have spent in each column. In order to see the data, you need to remove the “Finished before” date from the left side filter of the analytics to make sure you are only visualizing only cards that are in progress, as opposed to completed.
Each dot on the plot represents a particular card. Upon selecting a dot on the scatterplot, it will open a window in a similar fashion to the Cycle Time Scatterplot. The window will provide you with more detailed information about the card. From the filter panel on the right side of your screen, you can set up the date you wish to use as a base for the chart.
With the help of this aspect of the premium analytics module, you can measure the efficiency of the workflow for any of your project boards. The flow efficiency chart calculates the ratio between the actual value-adding time, during which a team member actively works towards completing a task and the entire lead time required to complete a process. In order to see the real efficiency of your workflow, you need to map the Queueing Stages on the right.
The purpose of the Heat Map is to show you how long your tasks have spent in each stage of your workflow. This chart is second to none when it comes to identifying potential bottlenecks. Inside each cell, you can see the total number of days your tasks spent in each column of your project board. Clicking on a cell will open a popup window that contains information about all of the cards inside. They will be listed according to the total time that they spent in the section, starting with the ones that took the longest to enter the next stage. Selecting any of them will open a second window with all the details about the task and the ability to open the card itself by clicking on its ID.
The mechanism of the Heat Map is simple. Cold colors mean that the total time spent by cards in each column is low and there is nothing to worry about. The warmer it gets, the more time has been accumulated inside and the greater the risk of a bottleneck in this step of your process. If the default color palette is not as intuitive to your team as you would like, you can change it by a specially designed filter in the right-hand menu.
You can filter the results of the chart by the Heat Map Attribute filter. This way you can check how specific types of tasks are progressing through the workflow. For example, you can visualize a heat map for each assignee on your project board, and how their cards were progressing in the past compared to how they are performing now.
Throughput Run Chart
The Throughput Run Chart is a simple and reliable way to display the total throughput of your team. It is a perfect tool for presenting throughput data to stakeholders.
The horizontal axis represents the entire time frame of your chart while the vertical one is for the different values that correspond to your daily throughput. The dots represent the throughput of each day. Depending on the productivity of your team, each dot will be placed at a different height. The line that connects them aims to underline the rises and drops of your throughput during the selected time frame.
As always, you can filter the results of the chart by card attribute. This way you can visualize throughput according to a wide range of criteria like assignee, priority, card color, type, etc.
This overview article will be followed-up by a series of in-depth articles which will explain how to use each of the charts to its full potential.