Individual Results
While summary charts show aggregate trends, Individual Results lets you review the complete set of answers submitted by each respondent. This is useful for verifying data quality, reading open-ended feedback in context, or investigating a specific submission.
Opening Individual Results
- Go to your survey and open the Analyze tab
- Select the Responses view for individual results
- Choose how you want to review the data using the view toggle
Table and Single Views
Use the toggle at the top to switch between two layouts:
| View | What it shows |
|---|---|
| Table | Every respondent as a row, with one column per question. Best for scanning across many responses at once. |
| Single | One respondent at a time, showing their full answers laid out like the original survey. |
In Single view, use the Respondent number box (“Respondent X of Y”) to jump directly to any submission, or step through them one by one.
Response Details
Each response includes standard metadata alongside the answers:
- Status – whether the response is complete
- Last modified – when the response was last updated
- Time Taken – how long the respondent spent
- Collector – how they reached the survey
- IP – the respondent’s IP address
Where a question allowed a file upload, the answer appears as a link you can click to download the file.
Row Actions
In the Table view, each row includes quick actions:
- View – open that respondent in Single view
- Delete – permanently remove the response (this cannot be undone)
Hiding and Quality Flags
On plans that include response quality analysis, each response can carry a Quality flag highlighting potentially poor-quality submissions. Click a flag to see the details.
You can also Hide responses you want to exclude without deleting them. Hidden responses stay out of your results until you tick Show hidden responses, and you can hide or unhide several at once by selecting rows and using the batch actions.
For the bigger picture across all responses, see Analyzing Survey Results and Exporting Survey Data.
Need help? Browse more articles in the Analysis section.
Was this article helpful?