Yes, you can remove specific responses from your survey data. This feature helps you clean your dataset by removing test responses, duplicates, or invalid entries while keeping the rest of your data intact.

When to delete specific responses

Common scenarios for selective deletion:

• Removing test submissions before analysis
• Eliminating duplicate entries from the same respondent
• Clearing responses with invalid or corrupted data
• Removing incomplete submissions that don't meet minimum requirements
• Cleaning irrelevant submissions

Step-by-step instructions

1. Enable edit mode

Navigate to your survey's responses page and click the "Edit" button in the bottom-right corner.

2. Find responses to delete

Use the table filter to locate specific responses:

• Click the search icon in the table header
• Enter keywords, values, or identifiers
• The table will show only matching responses

3. Select filtered responses

After filtering, select all matching responses:

• Click the checkbox at the top-left corner of the table
• This selects all visible (filtered) responses
• Verify the selection shows the correct number of entries

4. Delete selected responses

Complete the deletion:

• Click the "Bulk Actions" button
• Choose "Delete" from the dropdown menu
• Confirm the deletion when prompted

Filtering tips for accurate selection

Search by specific values

• Exact matches: Enter complete values like email addresses or ID numbers
• Partial matches: Use keywords that appear in responses
• Date ranges: Filter by submission dates to find old test data
• Response status: Filter by completion status or tags

Multiple criteria

Combine filters for precise selection:

• Filter by date AND specific answer values
• Search by respondent information AND response quality
• Use tags to group responses before filtering

Important considerations

Before deleting

• No automatic recovery: Deleted responses cannot be restored through the interface
• Export first: Save a backup of your data before bulk deletions
• Double-check filters: Ensure filters show only unwanted responses
• Count verification: Confirm the number of selected items matches expectations

Impact on analysis

• Deletion immediately affects all reports and exports
• Shared dashboards will reflect the changes
• Response counts and statistics update automatically

Alternative approaches

Instead of permanent deletion, consider:

• Tagging: Mark responses as "test" or "invalid" and filter them out during analysis
• Archiving: Export unwanted responses before deletion for record-keeping
• Separate analysis: Create filtered views without deleting data
• Status updates: Mark responses as inactive rather than deleting

Best practices

1. Test your filters: Try filters on a small dataset first
2. Document deletions: Keep notes on what was removed and why
3. Batch carefully: Delete in smaller groups if dealing with large datasets
4. Verify results: Check remaining data after deletion
5. Inform team members: Notify collaborators about data changes

Recovery options

If you accidentally delete responses:

• Contact support within 24 hours for potential recovery
• Restore from your exported backups
• Re-upload original scanned documents (for paper surveys)
• Check if data exists in integrated systems

For assistance with complex filtering or bulk operations, contact our support team.