Filtering & Exporting
The Responses page helps you narrow down interview responses by date, status, sentiment, and search term. You can also export response data to CSV for spreadsheet analysis.
Date Range Filter#
Use the date range selector at the top of the Responses page to focus on conversations created during a specific period.
Quick presets:
- Last 7 days
- Last 30 days
- Last 90 days
You can also select a custom date range.
Status Filter#
Available status filters:
- All: Shows all responses regardless of status
- Opened: The respondent loaded the interview page but did not start
- In progress: The respondent started the interview but has not completed it
- Completed: The interview finished and has an AI-generated summary
- Cancelled: The interview was cancelled
Only completed responses have full AI summaries, keyword tags, and overall sentiment.
Sentiment Filter#
Available sentiment filters:
- All
- Positive
- Negative
- Neutral
- Mixed
Sentiment is available for completed responses with generated summaries.
Search#
Use search to find responses that mention a keyword, phrase, email, country, sentiment, summary text, quote, or extracted keyword.
Search is applied to the loaded response dataset for the current page. Very old matches may require loading more pages first.
Combining Filters#
Filters work together. For example:
Recent negative completed responses
- Date: Last 30 days
- Status: Completed
- Sentiment: Negative
Recent drop-off review
- Date: Last 7 days
- Status: In progress
- Sentiment: All
CSV Export#
Click Export CSV from the Responses page to download a CSV for the current project.
CSV export uses the date, status, and sentiment options selected in the export dialog. If the Responses page has an active search term, that search is applied to the downloaded file.
What's Included in the CSV#
- Date: When the conversation record was created
- Status: Opened, started, completed, or cancelled
- Sentiment: Overall sentiment when available
- Country: Respondent country when available
- Names: Name and full-name identities attached to the conversation
- Emails: Email identities plus the legacy respondent email value when present
- Identities: JSON array of visible respondent identities attached to the conversation
- Metadata: JSON object with conversation metadata
- Summary: AI-generated per-question summaries
- Positive Keywords: Positive themes identified by the AI
- Negative Keywords: Negative themes identified by the AI
- Quotes: Notable quotes extracted from the conversation
If email is collected as an interview question, Diaform attempts to extract a valid email address during post-processing. When extraction succeeds, Diaform stores it as an email identity and the CSV Emails column is populated. If no valid email is found, the email remains only in the summary text.
Best Practices#
Review completed responses first: These contain the richest summaries and sentiment labels.
Use search for theme review: Search for terms such as "pricing", "onboarding", or "bug" to find related conversations.
Export for long-term analysis: Use CSV exports for quarterly reviews, BI tools, or backups.
Load more before broad searches: If you are searching across a large response history, load additional pages first.