Introduction to the Blocker Clustering Chart
The Blocker Clustering Chart is a graphical representation of the time and number of times cards have been blocked. It is a heatmap that uses various shades of different colors in order to help visualize the collected blocker data.
If you have to know which blockers are being used, for how long the cards have been blocked, and how often that happens, the Blocker Clustering Chart comes in handy.
- On the "x" axis there are two columns: Block Time and Block Count
- On the "y" axis, you have all the different blockers for the selected board.
To access the Blocker Clustering Chart, navigate to the Analytics module and choose the Blockers tab, as shown below:
How to set up the Blocker Clustering Chart?
From the left side of the panel, you can control which data you see on the chart.
First, you define the time frame ("Requested After" date and "Finished Before" date).
Important: The chart will visualize only cards that have entered your flow after the "requested date". In case that the cards were in your flow before the requested date, and are completed within the "finished before" date, they won't be displayed.
Then you select the workflows that you want to analyze.
In addition, you can apply card filters (Add cards filter). For example, you may want to see only cards with high priority or cards that are of a certain type or size.
Controls for the Blocker Clustering Chart - customize your view
1. The "Calculate Block Metrics by" menu allows you to select the data aggregation type.
You can toggle between showing the Total time spent blocked or displaying the Average time spent blocked. In addition, you can use the 50, 70, 85, and 95 percentile options for further aggregation.
2. Choose the Color palette of the chart.
3. Choose to include weekends or use only working days from the Block Time Filter menu.
Important: the Blocker Clustering Chart allows for recalculation based on working days.
Let's say we have a card that was blocked on Friday and was unblocked on Monday and the team is working from Monday to Friday.
- If no working days option is selected, the card's blocked time would be calculated as 4 days.
- If working days are selected (Mon-Fri) for the Blocker Clustering Chart, the blocked time for the example card will be 2 days only (Monday and Friday).
4. Use the Item Filter to configure which cards the blockers should be visualized for.
Example: only blockers for cards where the Assignee is George and the Priority is High.
5. Choose which blockers you want to include in the graphic from the Blockers menu.
Analyzing the Blocker Clustering Chart data and Examples.
If a blocker on the Blocker Clustering Chart is colored in the deepest color, it signals that this blocker is responsible for either a high amount of blocked time or a high number of blocks and this part of your process needs attention. This visualization helps you easily find out the most common block reasons and is a good way to visualize bottlenecks in the process.
In the example in the image above, the Blocker Next Release is responsible for 8.22 days of blocked time. If you click on any of the cells, the system provides a list with all cards that have received the according block reason and indicates how long and how many times it was used on the card(s).
Hover on any Card ID to open the respective "Work Item Details" box. It contains specific information relevant to the card.
For more information about Card Blockers, check out the dedicated article.