CSV Export

Export your survey responses as CSV files for analysis in Excel, R, Python, or other tools.

Accessing Export

Navigate to Responses tab
Click Export button
Choose export options
Download CSV file

Export Options

What's Included

The CSV export contains:

Column Type	Examples
Metadata	Response ID, timestamp, status, panel
Demographics	Screening question answers
Responses	All question answers
Quality	Quality score, flags
Media	Transcript text (for audio/video)

Export Formats

Format	Use Case
Standard CSV	Most tools, Excel, Google Sheets
UTF-8 CSV	International characters
With headers	Column names in first row

Export Filters

Filtering Before Export

Apply filters to export subsets:

Status: Completed only, all, etc.
Quality: Minimum quality score
Panel: Specific panels
Date range: Time period

Export Selected

Export only selected responses:

Select rows in table
Click Export Selected
Download selected subset

CSV Structure

Column Layout

response_id, timestamp, status, panel, q1_answer, q2_answer, ...

Multiple Choice Columns

Single select questions:

q1_brand: "Brand A"

Multi-select questions:

q1_brand_1: 1  (selected)
q1_brand_2: 0  (not selected)
q1_brand_3: 1  (selected)

Matrix Questions

Matrix responses expand to:

q2_row1: "Agree"
q2_row2: "Strongly Agree"
q2_row3: "Neutral"

Open-Ended Responses

Text responses:

q3_feedback: "The product was excellent and met all my expectations..."

Audio/video transcripts:

q4_transcript: "I really liked how the packaging..."

Privacy Considerations

Anonymized Data

Exports include:

Anonymous response IDs (not personal identifiers)
Panel source (not individual provider IDs)
Response content

Excluded Data

Never included in exports:

Personal contact information
Provider-specific identifiers
IP addresses
Browser fingerprints

Handling Sensitive Data

If respondents share personal info in open-ended responses:

Review before sharing exports
Consider redacting PII
Follow data handling policies

Processed Responses

Pre-Processed Data

Some exports include computed fields:

Field	Description
Completion time	Seconds to complete
Quality score	Computed quality rating
Labels	Applied labels
Persona	Assigned persona

Aggregated Options

Export summary statistics:

Response counts per option
Average ratings
Completion rates

Using Exported Data

Excel

Open CSV in Excel
Use Data tab for filtering
Create pivot tables for analysis

Python (Pandas)

import pandas as pd
df = pd.read_csv('export.csv')

R

data <- read.csv('export.csv')

Google Sheets

Upload to Google Drive
Open with Google Sheets
Use built-in analysis tools

Best Practices

Before Exporting

Filter to relevant responses
Verify quality requirements
Check for complete data
Note any exclusions

After Exporting

Verify row count matches expectations
Check for encoding issues
Document export parameters
Store securely

💡 Tip: Export early and often during analysis. Each export is a snapshot—if you need to reference original data, re-export from the source.

Exporting Data