Force Add Training to Period-Based Training Models
Administrators can now add new trainings to already-published period-based training models, pushing them to both in-progress and qualified users without forcing requalification. For one-time models, qualified users receive a configurable extension period to complete the new training while retaining their qualified status.
What's New
- Force add new trainings to published one-time and sequential period-based training models
- Automatically assign new trainings to in-progress users without changing existing due dates or expiration dates
- Push new trainings to qualified users in one-time models with a configurable extension period that preserves qualification status
- Select target sequences (initial, renewal, or both) when adding trainings to sequential training models
- Review impact screen showing the full list of affected users, recalculated due dates, and expiration dates before publishing
- Automatic notifications to impacted users via the existing training assignment notification
Details
Description
This release extends the period-based training model (currently in Early Adopter) by introducing a Force Add Training capability inside Foresight. Administrators can now add a new training to an already-published one-time or sequential period-based training model and have it distributed to the relevant population without rebuilding the model or resetting learner progress.
For one-time training models, the new training can be pushed to both in-progress and qualified users, with a configurable extension period that lets qualified users complete the addition while keeping their qualified status intact. For sequential training models, administrators choose which sequence (initial, renewal, or both) receives the new training, and the addition applies to in-progress users within that sequence. A Review Impact screen surfaces the full affected user list, recalculated due dates, and expiration dates before publishing.
Business Need
Until now, the period-based training model did not support adding new trainings to an already-published model. When compliance requirements changed mid-cycle, administrators had to build a new training model and reassign it, which reset the qualification status of users who had already completed the original requirements. This created unnecessary administrative work, broke compliance continuity, and penalized learners who were already qualified.
This enhancement lets organizations introduce updated training requirements outside of planned renewal cycles while preserving qualification status for compliant users. It reduces administrative overhead, eliminates the disruption of resetting qualifications, and gives qualified users a defined extension window to absorb new content without falling out of compliance.
Key Features
- Force add new trainings to published models: Administrators can add a new training directly to a published one-time or sequential period-based training model without creating a new model.
- Automatic assignment to in-progress users: In-progress learners receive the new training automatically, and their existing due dates and expiration dates remain unchanged.
- Extension period for qualified users (one-time models): When pushing a new training to qualified users in a one-time model, administrators define an extension period (for example, 10 days) during which qualified users must complete the new training to retain their qualified status.
- Sequence selection for sequential models: Administrators can target the initial sequence, the renewal sequence, or both when adding a new training to a sequential model.
- Review Impact screen: Before publishing, administrators see exactly which users will be impacted, along with the recalculated due dates and expiration dates for both in-progress and qualified populations.
- Notifications to impacted users: The existing training assignment notification is reused to inform affected learners that a new training has been added to their training model.
Deployment & Considerations
The feature is generally available in both UAT and Production with this release. It requires the Training Model functionality to be enabled and depends on the period-based training model, which remains in Early Adopter. No new permissions are introduced — existing training model management permissions apply.
Important scope and behavior considerations: the capability supports period-based training models only and does not affect recurrent training models, which continue to behave as before. For one-time models, force add applies to both in-progress and qualified users — in-progress users get no additional time and keep their original expiration, while qualified users receive the administrator-defined extension period. For sequential models, force add applies only to in-progress users within the selected sequence; qualified users are not supported, and no extension is granted. Administrators should be aware that a newly added training may immediately become past due for in-progress users in edge cases — for example, when a training is added near the end of a period with a custom due date — because training-level due dates are calculated from the period start date. The Review Impact screen should be consulted before publishing to validate due dates and the affected user list.