We are thrilled to share that our User Trends dashboard is moving forward with a new Rage Click chart and the Segments dashboard now has two additional session filters: Active Time and Session Length.
This article will cover
- User Trends: Rage Click chart
- Creating a user segment directly from the chart
- How to get the most out of the Rage Click chart?
- How to filter users' active time on long sessions and find users with specific session duration
In our previous blog post, we discussed our event filter Rage Click which helps you with finding frustration points for your users. In order to enhance our DXI analysis, we released the Rage Click chart. Using both gives you a clearer picture of what and where your users are struggling while using your product.
The new graph in our Segments dashboard helps you:
- First and foremost, determine whether your users perform rage clicks.
- Second, if there are rage clicks, which elements are causing the most frustration?
- Third, how many users have been affected by this?
- Last but not least, which are the pages causing the rage clicks?
By following the three simple steps outlined below, you can get instant value with a zero-effort configuration:
Step 1) Log into the Dutfe app.
Step 2) Navigate to our primary dashboard — Segments
Step 3) Check our new chart in User Trends
Another useful feature of our new chart Rage Click is the ability to quickly and easily create a user segment. To do this, simply click the unique “Add Filter” icon for any row that you believe merits more examination. You may do this to see which users rage clicks on a particular element, to view their matching sessions, or to look at the remainder of the User trends for those users.
Check the image below for more details.
Consider the following scenario. As a product manager, you want to know where users are having the most trouble and confusion. You don’t have any assumptions about which are the HTML elements causing frustration points such as rage clicks. One way is to use our segment filter Rage Click with the option “Anything”. However, the simplest method is to use the chart related to those clicks. Examine the list of elements with rage clicks. Use our option to show the data in percentage, too. This will help you to understand what fraction of all your users or segment ones are affected.
You notice that one of the elements causes a large number of rage clicks, but the number of people affected is small, or the clicks are performed by just one person. Directly from the chart, add this element to a segment.
Examine the user(s) with the frustration signals. Examine their matching sessions. To save time from watching too-long sessions, only go through the rage clicks event steps. Or you can watch the entire session to get a complete picture of the user’s behavior — what steps are taken before the rage clicks. Look for errors in our console and network tabs in the session player. It is possible that the button responsible for those clicks is malfunctioning and throwing exceptions in the console.
But what if the rage clicks are actually false positives? People interact with a pagination element, which is regarded as a source of frustration. Remove that specific element from the analysis to avoid false alarms. More on this can be found in our September blog post. Once this configuration is in place, the next time a user interacts with the paging, this activity will not trigger a rage click.
Interested in the Rage Click chart? Contact our team to request the feature.
Have you ever wondered if you can use the session length to determine who are your most active and keen on your product users? Let’s face it: long sessions do not always imply that users are active throughout the session and satisfied with your product. To get this insight, use our new Segment filters: “Active Time” and “Session Length”
A user is considered “active” when they perform any of the following types of user action events:
- Mouse events
- Keyboard events
- Touch events
- Scroll
- Navigate (in-tab and cross-tab)
If the user is interacting with the page with any of the above user action events, the Dutfe DXI platform classifies that part of the session to be active. Then we add up all active periods during a session to get a single value: active time.
Let’s assume the typical length of a session for your product is more than 10 min. You want to look at all users who have sessions greater than 10 min and have been active for more than 5 min. To find how many users are meeting these criteria, use our “Active Time” filter with the combination of the other new one “Session Length” as shown below.
The filter will list all users who have at least one session with a duration greater than 10 min and with an active time bigger than 5 min. To examine further what these sessions are and what the users have done while being active, open the right-side panel with the list of all sessions and use the “Only matching“ option for checking only the relevant sessions.
Each session shown in the list has two separate properties: Length and Active Time. So even when you have no idea what is the typical duration of the user activity, you can adopt the value from the relevant property. Then use this value to search for all users matching the criteria.
Interested in the Rage Click chart? Contact our team to request the feature.
If you still haven’t had the chance to try out Dutfe, get your free trial here.