For very large studies, you can process submissions by providing a list of IDs.
How it Works
- Click the "Bulk Process by ID" button on the dashboard
- A text box will appear. Paste in a list of MobLab Research Participant IDs, separated by commas or new lines
- The system will automatically select all matching submissions in the table
- You can then use the "Approve Selected", "Reject Selected", or "Update Bonus" buttons to process them
Processing Options
Bulk Approve by ID
Input the list of participant IDs for approved studies. The system will only process those participant IDs that are able to be approved (have base pay > $0 and meet approval criteria).
Bulk Update Payment by ID
Input the list of participant IDs for bonus updates. The system will only process those participant IDs that are able to have their bonus updated.
Bulk Reject by ID
Input the list of participant IDs to reject with a common reason that applies to all.
💡 When to Use ID-Based Processing
- Large studies: When you have hundreds or thousands of submissions
- External analysis: When you've analyzed data outside the platform and have a list of IDs to process
- Selective processing: When you need to target specific participants based on external criteria
- Quality control: When you've identified specific participants who meet certain conditions
ID Format Requirements
Supported Formats
- Comma-separated: ID1, ID2, ID3, ID4
- Space-separated: ID1 ID2 ID3 ID4
- Line-separated: One ID per line
- Mixed separators: The system can handle mixed formats
Example Formats
Comma-Separated Example
P123456, P789012, P345678, P901234
Line-Separated Example
P123456
P789012
P345678
P901234
Common Use Cases
Data Quality Analysis
After analyzing your data externally, you've identified participants who failed quality checks and need to be rejected.
Attention Check Results
You've processed attention check responses and have a list of participant IDs who failed multiple checks.
Performance-Based Selection
You want to approve only participants whose completion times fell within acceptable ranges.
Bonus Award Lists
You have a list of participant IDs who deserve bonus payments for excellent work or technical issue compensation.
External Verification
You've verified certain participants through external means and want to process them as a group.
⚠️ Double-Check Your List
Ensure your participant ID list is accurate before processing. Incorrect IDs may result in wrong participants being approved or rejected.
Best Practices
Preparation
- Verify IDs: Ensure all IDs in your list are valid and from your study
- Clean your data: Remove any extra characters or formatting from your ID list
- Test with small batches: Try a few IDs first to ensure the process works correctly
- Keep records: Save your ID lists and processing decisions for future reference
Processing Strategy
- Group by action: Process all approvals together, then all rejections, then bonus updates
- Verify selection: Check that the correct submissions are highlighted before proceeding
- Document reasons: Provide clear, specific feedback when rejecting by ID
- Check eligibility: Remember that the system will only process IDs that meet the criteria for each action
- Monitor results: Review the outcomes to ensure processing worked as expected
Troubleshooting
IDs Not Found
If some IDs aren't being selected:
- Check that the IDs are formatted correctly
- Verify the participants actually submitted to your study
- Ensure you're in the correct study dashboard
- Check for extra spaces or special characters
Partial Selection
If only some of your IDs are selected:
- Some participants may have already been processed
- Some IDs might not exist in your study
- Check the submission status filters on your dashboard
💡 Pro Tip
Export your submissions data first to get the exact participant IDs, then use that list for bulk processing. This ensures accuracy and reduces errors.