Analytics: Analyze user behavior
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Are you interested in gaining insights from what your users know - and don't know? Do you care about their opinions and feedback? Would you like to know how your content performs? If there was at least one yes, analytics is the place to go.
What can I analyze?
You can analyze aggregated user data (not on an individual level).
In the overview you see ow many users:
- you contacted with a broadcast.
- completed a training
You can also see the overall completion rate. That's the percentage of users who reached the last dialog in a chat in relation to the number of users you contacted.
To look a level deeper, click the pie-chart icon at the right end of the row
Data sorted by chat-versions
The detail view shows you the aggregated data for every version of your chat. Use the dropdown to switch between different versions.
Like in the overview you can see again:
The first diagram shows you how far users went in a chat. This allows you to draw conclusions about the suitable length of a chat or to discover other patterns.
The empty rows (Dialog 3, 13, or 17) indicate, that no user has seen this dialog - a jump led them to another dialog in the same chat.
See the number of clicks on each button. This allows you to gain insights e.g. in a survey or when asking for feedback.
See what users know - and don't know. For example in a quiz.
Read open feedback or open answers in a quiz.
Preview chats when testing
To understand your users, don't dilute data while testing the content, use preview for test purposes.
No interaction is counted when you are in preview-mode.
You have three options:
1. Click the button on top of the editor
2. Copy the Preview URL
3. Add /preview at the end of a chat
Be careful when editing live content
There is versioning of your chats in place. See the article on versioning.
Remember: Every time you update a chat, a new version is created. Analytics data is displayed per version of a chat.
This means: When you have already broadcasted a chat, users have started to engage with your content and you create a new version of a chat, analytics data will be divided into two separate views in analytics.
To better understand the performance of a chat, it's easier if all the relevant data refers to only one version of a chat.
It's recommended not to update a chat during a running campaign as this creates a new version.
If you have to edit the content during a live campaign, you will have to count the numbers of the versions you want to analyze.