Filtering & Exporting

The Responses page includes powerful filtering and export tools that help you narrow down responses, identify patterns, and export data to CSV for deeper analysis in Excel, Google Sheets, or BI tools.

Date Range Filter#

The date range filter lets you focus on responses from a specific time period:

How to Use It#

1. Click the date range selector at the top of the Responses page
2. Choose a quick preset (Last 7 Days, Last 30 Days, Last 90 Days, All Time)
3. Or select a custom range by picking a start and end date

What It Does#

• Shows only responses that were completed (or last updated) within the selected date range
• Updates the response count and analytics charts to reflect the filtered period
• Persists your selection as you navigate between the Responses page and detail drawer

Status Filter#

The status filter lets you narrow responses based on their completion state:

Available Options#

• All: Shows all responses regardless of status (default)
• Opened: Shows only responses where the respondent loaded the page but didn't start
• Started: Shows only responses where the respondent began the interview but didn't finish
• Completed: Shows only fully completed interviews with AI summaries

Common Use Cases#

• Filter by "Completed": Focus on high-quality responses with full summaries and sentiment analysis
• Filter by "Started but not Completed": Identify drop-off points and understand why respondents didn't finish
• Filter by "Opened": See how many people viewed the interview but didn't engage (helps measure bounce rate)

Sentiment Filter#

The sentiment filter lets you focus on responses based on overall sentiment:

Available Options#

• All: Shows responses with any sentiment (default)
• Positive: Shows only responses with positive sentiment (green badge)
• Negative: Shows only responses with negative sentiment (red badge)
• Neutral: Shows only responses with neutral sentiment (gray badge)
• Mixed: Shows only responses with mixed sentiment (yellow badge)

Common Use Cases#

• Filter by "Negative": Identify dissatisfied respondents and pain points that need immediate attention
• Filter by "Positive": Find success stories, testimonials, and quotes to share with your team or use in marketing
• Filter by "Mixed": Understand nuanced feedback where respondents have both praise and criticism

Combining Filters#

All filters work together—you can combine date range, status, and sentiment filters to create highly specific views:

Examples#

Show only completed + negative responses from the last 30 days:

• Date: Last 30 Days
• Status: Completed
• Sentiment: Negative

Use case: Review recent critical feedback to prioritize fixes.

Show started but not completed responses from the last 7 days:

• Date: Last 7 Days
• Status: Started
• Sentiment: All

Use case: Identify drop-off patterns and improve completion rate.

Show positive responses from a specific product launch week:

• Date: Custom (e.g., Jan 15-22)
• Status: Completed
• Sentiment: Positive

Use case: Collect testimonials and success quotes from a launch campaign.

CSV Export#

The CSV Export feature lets you download matching responses for deeper analysis, reporting, or sharing with your team.

How to Export#

1. Apply your filters: Use date range, status, and sentiment filters to narrow the responses you want to export
2. Click the "Export to CSV" button at the top of the Responses page
3. Download the file: The CSV will download to your browser's default download folder

What's Included in the CSV#

The exported CSV includes the following columns:

• Date: The date and time the response was completed (or last updated)
• Status: Opened, Started, or Completed
• Sentiment: Positive, Negative, Neutral, or Mixed (only for completed responses)
• Country: The respondent's country based on IP geolocation
• Email: The respondent's email address (if collected and provided)
• Summary: The full AI-generated summary of the interview
• Positive Keywords: Comma-separated list of positive themes mentioned
• Negative Keywords: Comma-separated list of negative themes mentioned
• Quotes: Notable quotes extracted from the conversation

Compatibility#

The CSV file is compatible with:

• Microsoft Excel: Open directly in Excel for sorting, filtering, and pivot tables
• Google Sheets: Import into Google Sheets for collaborative analysis
• BI Tools: Import into Tableau, Power BI, or other business intelligence platforms
• CRM Systems: Bulk import into your CRM to track customer feedback

Use Cases for Filtered Views and Exports#

Here are some common workflows teams use with filtering and exporting:

Weekly Negative Feedback Review#

1. Filter by Last 7 Days + Completed + Negative
2. Review each response to identify recurring issues
3. Export to CSV and share with your product team via Slack or email

Quarterly Business Reviews#

1. Filter by Custom Date Range (e.g., Q4: Oct 1 - Dec 31)
2. Filter by Completed to focus on high-quality responses
3. Export to CSV and analyze trends in Excel or Google Sheets
4. Create charts showing sentiment distribution, top keywords, and notable quotes

Post-Launch Feedback Analysis#

1. Filter by Custom Date Range (e.g., the week after a product launch)
2. Filter by Completed to see full feedback
3. Review positive and negative keywords to measure launch success
4. Export to CSV to share with stakeholders

Drop-Off Analysis#

1. Filter by Last 30 Days + Started (not completed)
2. Review where respondents stopped responding
3. Identify patterns in question types or probing intensity that might be causing drop-off
4. Adjust your interview questions or settings based on findings

Testimonial Collection#

1. Filter by Completed + Positive
2. Review notable quotes for testimonials or case studies
3. Export to CSV and pull quotes for marketing materials or product docs

Best Practices#

Review Negative Feedback Regularly#

Set aside time each week to review negative responses. Catching issues early helps prevent churn and improve product quality.

Export for Long-Term Analysis#

Export responses monthly or quarterly to build a historical dataset. This helps you track sentiment trends over time and measure the impact of product changes.

Share Filtered Views With Your Team#

Instead of overwhelming your team with all responses, share filtered views that are relevant to their role:

• Product team: Negative responses with actionable feedback
• Marketing team: Positive responses with testimonials and quotes
• Customer success team: Responses flagged as "urgent" or mentioning churn risk

Use Filters to Answer Specific Questions#

Before diving into the data, define a question you want to answer. Then use filters to narrow the data:

• "How did users react to the pricing change last month?" → Custom date range + completed
• "What are the most common complaints this week?" → Last 7 days + completed + negative
• "Where are most of my positive respondents from?" → Completed + positive + export to CSV, sort by country

Next Steps#