The Formal Assessments section in the Assessments tab, shows data and insights related to the number of formal assessments created in the Fuse instance, the number of users who have passed and failed formal assessments, and the top 10 formal assessments that users have failed.
The insights shown here are based on the filters selected in the Filter By section.
The following insights are shown:
Insight | Description |
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Assessments Created | The total number of formal assessments created and attached to topics, chapters inside topics, and individual items of content inside topics, based on filters selected in the Filter By section. In the example below, a total of 23 assessments have been created and attached to topics, chapters inside topics, and individual items of content inside topics in the Fuse instance. |
Users Passed | The total number of users who have passed formal assessments (attached to topics, chapters inside topics, and individual items of content inside topics) based on filters selected in the Filter By section. In the example below, 164 users have passed an assessment in the Fuse instance. |
Users Failed | The total number of users who have failed formal assessments (attached to topics, chapters inside topics, and individual items of content in topics) based on filters selected in the Filter By section. In the example below, 76 users have failed an assessment in the Fuse instance. |
Top Ten Failed Assessments | A table displaying the top 10 formal assessments that users have failed. The formal assessment with the highest failure rate appears at the top of the list. If a high number of users in a community are failing/not completing an assessment, you could try and find out why. For example, a topic might contain too many chapters or too much much content, making it difficult for users to digest and remember it. In this case, you could break down the information into smaller chunks and distribute them across multiple topics, making it easier for users to retain the information they've learned. The following information is shown for each topic:
In the example below:
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