> For the complete documentation index, see [llms.txt](https://docs.intranet.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.intranet.ai/acknowledgement/releases/version-1.2.md).
# Version 1.2
Here you can find the changes included in this release
## Acknowledgement for documents
The possibility of **modifying user selection** has been introduced. Specifically, you can view the users and/or groups already selected for a file by selecting the file and clicking the **Acknowledgement** button. You can also **modify your selection** **by adding or removing users**.
If you add new users or groups, those already selected will not receive a new notification. If you remove a user or group, the report will update accordingly, removing the related data.
## New feature: Acknowledgement for pages and news
Initially designed for business documents, **the Acknowledgement tool has now been extended to intranet pages and news**. This means you can request confirmation not only for documents stored in libraries but also for pages and internal communications. To do so, you need to:
* Insert the **Acknowledgement Pages** component within the page or news article you’re interested in;
* **Select individual users or groups** (you can modify the selection at any time by adding or removing users);
* Publish or republish the page to make it available to your colleagues.
When accessing the page or news article, **selected users will see a button** prompting them to **confirm** they have read the content.
Instead, **users who were not selected** will see a **message** informing them that **no confirmation is required**.
## Power BI report
The latest version of the Acknowledgement report introduces a **more structured and dynamic approach** to tracking document and content acknowledgements. The new report consists of **3 pages**:
1. **Acknowledgement Requests**: this page displays an **overview of all documents and pages** **with acknowledgement requests**, including **key metrics** such as total users notified, percentage of acknowledgements, and document storage locations.
2. **Details**. This page allows an **in-depth analysis of individual acknowledgements**, including **user-specific data** (office location, job title, department), along with **timestamps for email notifications and acknowledgement confirmations**. This page also includes a visualization of **acknowledgement trends over time** and **advanced filtering options**.
3. **Complete Data**. This page **also** includes **acknowledgement confirmations submitted directly by users through the document pages**. In these cases, no email is sent — the user accesses the document library, clicks on a file, and opens it through the "Acknowledgement" page, where they can confirm they have read the content.
A **filter section** is available on this page, too.
