Customizing Schedule Categories for Unassigned Shifts in Ontraccr
📄 Customizing Schedule Categories for Unassigned Shifts in Ontraccr
Ontraccr’s Schedule Categories feature allows you to organize and label unassigned field shifts using color-coded categories. This is especially useful for prioritizing, grouping, or planning future assignments at a glance.
🧭 Where to Access Schedule Category Customization
- Go to Settings.
- Click Customization.
- Select Schedule from the customization list.
🧰 What You Can Customize
Each Schedule Category includes:
- A name (e.g., “High Priority”, “Waiting for Approval”, “Night Shift”)
- A color, used in the scheduling UI to visually distinguish unassigned shifts
🛠️ How to Create or Edit a Schedule Category
- In the Schedule customization screen, click Add (+).
- Enter the category name (e.g., “Standby Crews”).
- Click the color selector box, choose a color, and hit Save.
- To update a category later:
- Click the Edit icon (✏️) beside the category
- Modify the name or color and save again
📅 How to Use Schedule Categories
Once created, categories appear in the Field Schedule panel:
- Go to Scheduling > Field Schedule
- Expand the Unassigned Shifts menu on the left-hand side
- You’ll see your custom categories listed
- When adding a new shift, you can assign it to one of these categories
This helps dispatchers organize unassigned labor by priority, function, or workstream.
💡 Real-World Example
A company using unassigned scheduling might create:
Category | Color | Purpose |
---|---|---|
High Priority | Red | Urgent shifts that must be filled |
Pending Review | Yellow | Awaiting final sign-off |
Next Week Prep | Blue | Early prep for future work |
Each category helps give instant context in the scheduler.
✅ Tips and Edge Cases
- Only Affects Unassigned Shifts: These categories don’t apply to assigned shifts.
- Use Clear Names: Categories appear in the scheduling sidebar—choose short, descriptive names.
- Can Be Changed Anytime: You can rename or recolor categories later without affecting past scheduling data.