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E-Learning completion score metrics

Updated

Overall completion score

Completion Score gauge chart on a 0 to 100 scale showing an average score of 90, the arithmetic mean of all module results already achieved by users who completed every module.

Definition

This shows the arithmetic mean of module score for all completed modules in a campaign. This metric does not include incomplete or failed modules.

Multiple campaigns / Multiple tenants behavior

Classic Learning: Individual completed module scores from all included campaigns and tenants are averaged.

Personalized Learning: (multiple tenants only) Individual completed module scores from all included tenants are averaged.

Completion results by user group

Bar chart of completion score by user group on a 0 to 100 scale, with scores fairly close together across all groups. Software Development scores highest and Production lowest, though all groups score above 70.

Definition

This shows the arithmetic mean of module score for all completed modules in a campaign, broken down by user group. This metric does not include incomplete or failed modules.

Multiple campaigns / Multiple tenants behavior

Classic Learning: Users need to complete each assigned module for every campaign where it is assigned to them. If a user completes the same module for multiple campaigns, each score is included in the overall average.

Since user groups exist within a single tenant, multiple tenants will simply show the union of all user group scores in each tenant.

Personalized Learning: (multiple tenants only) Since user groups exist within a single tenant, multiple tenants will simply show the union of all user group scores in each tenant.

Completion results by module

Bar chart of completion score averaged by module, with Cyber Attack Tactics and (Un)safe File Types scoring highest, close to 100, and File Sharing lowest. A Show more link reveals additional modules beyond the six shown.

Definition

This shows the arithmetic mean of completed module score broken down by module for all users in a campaign. This metric does not include incomplete or failed modules.

Multiple campaigns / Multiple tenants behavior

Classic Learning: Users need to complete each assigned module for every campaign where it is assigned to them. If a user completes the same module for multiple campaigns, each score is included in the overall average.

For multiple tenants, the individual completed module scores from all included tenants are averaged.

Personalized Learning: (multiple tenants only) Individual completed module scores from all included tenants are averaged.

Module split filter behavior

Only individual completion instances according to the filter setting are included in the average.

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