Previously, data from some sensors appeared as raw, unreadable strings in the system, requiring manual decoding or external tools to make sense of the information—hindering real-time monitoring and analysis. To address this, the system now supports Sensor Data Decoding for supported sensor types, automatically interpreting and converting raw input into meaningful, human-readable values. This allows users to gain immediate insights—such as temperature, humidity, or motion status—improving responsiveness and decision-making in the field.

You can now create child checklists directly in the FacilityBot Mobile App, making it easier to organize and link related checklists in real time. If the "Allow creation of ad hoc checklist on Mobile App" toggle is enabled, the checklist will also be available in the app for Admins, Managers, and Responders to create on demand—even without scanning a QR code—streamlining workflow and improving field efficiency.

We've introduced a new Scoring Formula Check in Checklists that allows clients to compute a score based on inputs from other checks. This feature supports custom formulas, enabling dynamic scoring logic tailored to your workflow. For example, you can calculate an overall performance score by referencing the results of multiple related checks.

The Items to Order widget has been enhanced to offer greater flexibility and control. Users can now hide the price column for a cleaner interface, include item images to improve visual recognition and decision-making, and set maximum quantity limits to prevent over-ordering. These improvements streamline the ordering process and make the widget more adaptable to various organizational needs.

We've enhanced the CSV export for the "For Review" section under Checklists by including the "Check At" column. This allows users to see the scheduled time or date for each checklist item directly in the exported file, making reviews and scheduling more efficient and transparent.

We’ve added a dedicated "Score Percentage" column to the checklist CSV export. This makes it easier to quickly view and analyze performance at a glance without needing to calculate percentages manually.

This enhancement allows users to configure validation rules for date and time fields within checklists. You can now ensure that date-time inputs meet specific criteria—such as being before, after, or within a certain range—helping maintain data accuracy and compliance with workflow requirements.

This improvement to the Requests feature ensures that required (compulsory) form questions are only enforced if they are visible to the user. Previously, hidden questions marked as required could prevent form submission, even if they weren’t shown due to logic rules. With this update, hidden required fields will no longer block submission, resulting in a more intuitive and user-friendly experience when filling out request forms.

Users can now enable response validation for Short Answer fields in Requests. This ensures that input meets specific criteria (e.g., format, length, or content), helping improve data accuracy and streamline processing.

Users can now apply response validation to Date and Time fields in Requests. This ensures submissions fall within allowed ranges or formats, helping enforce scheduling rules and improve data consistency.