Dashboard - General functionalities

The dashboard allows you to track the actual progress of learners using performance indicators and an AI-powered contextual summary (available with B12+).

This version of the dashboard is designed to go beyond simply reading activity. It aims to highlight what truly matters in a learner’s development by making learning data:

• easier to interpret;
• more actionable;
• better tailored to the profile of the person viewing it.
   

Overview

The dashboard is organised to offer a progressive reading experience:

• A summary view, which provides a quick glance at key indicators and programme details.
• Detailed indicators, which cover different aspects of the programme depending on the activities present.

This structure allows you to move from a broad overview to a more detailed reading without having to interpret a large volume of raw data all at once.

The dashboard data is updated every 15 minutes, except for learners whose updates are instantaneous.  

Clickable Data and Side Panel

Most of the displayed data is clickable to access more details. A side panel then opens with details by learner. Contextual filters are available at the top of the panel to facilitate list sorting.

Send a Message to Learners

From this side panel, you can select learners and send them a message as a B12 notification. For example:

• send a congratulatory note to the highest-performing learners;
• send a reminder to learners who are behind schedule.

Different button options can be added to the notification to provide a direct link to B12 (the format is similar to that of a sequence notification).

B12+ and Dynamic Contextual Analysis

Data tables and charts can be rich, but often require significant interpretive effort. In addition to the indicators, the dashboard generates a dynamic contextual analysis: a summary that rephrases the observed data into an understandable overview, powered by artificial intelligence.

Its role is to answer questions more directly such as:

• What should be taken away from the current situation?
• Which signals stand out the most?
• Which elements require attention?
• What next action seems most relevant?

Note: No personal data is shared with the AI. To learn more, please consult our privacy policy.

Access and Activation

Generating summaries does not consume credits. You just need to have an active B12+ account.

To gain access:

• B12+ must be activated on your platform. To activate it, write to us at support@apprentx.rocks. Activation is completed within 4 hours (often in less than an hour).
• You must have at least 1 credit in your B12+ account. To learn more about purchasing credits, see here.

Updating the Analysis

• The analysis is updated automatically each day you view a dashboard.
• Within the same day, the “Refresh Summary” button appears when:
  • new data is available in the dashboard;
  • you apply filters — the analysis will then adjust to the displayed data.
• Refreshing does not consume credits, but a daily limit per organisation is established to prevent excessive usage.

Filtering Data

Filters allow you to display data according to your chosen parameters:

• Groups
• Users
• Custom fields
• Sequence, difficulty level, or tag

An applied filter remains active when navigating between tabs.

Reminder: The AI analysis does not update automatically when you change filters. Use the “Refresh Summary” button as needed.

Best Practices for Interpretation

Each indicator should be read as a partial source of information, not as a conclusion in itself. It is the combination of these signals that allows the dashboard to produce a richer interpretation.

To get the most out of it:

• Read the results in their context.
• Avoid overinterpreting an isolated variation.
• Compare trends rather than focusing on a single value.
• Use the AI analysis text as a starting point for discussion or action.
• Cross-reference the dashboard observations with what you know from the field.

The dashboard is particularly useful when it is used to inform a decision, rather than to automatically judge performance.

Common Use Cases

• Prepare a follow-up meeting with a learner based on the main signals observed.
• Identify support needs before a situation deteriorates.
• Help a learner plan their next session by highlighting their priorities.
• Monitor a team or cohort with a more synthetic reading than simple progress metrics.
• Put progress into context by explaining it with a clear and complete story, supported by data.