Breakdown Selector
Breakdowns split your data by dimensions to reveal patterns hidden in aggregate data.
Accessing Breakdowns
View any question chart
Click Compare By or the breakdown selector
Choose a dimension
View segmented results
Multiple Breakdowns
Apply different breakdown types:
By Persona
Compare across AI-generated segments:
Persona | Satisfaction |
Quality Seekers | 78% |
Budget Conscious | 52% |
Convenience Driven | 71% |
By Theme
Compare based on qualitative themes:
Theme Mentioned | Satisfaction |
"Value" | 82% |
"Quality" | 75% |
"Service" | 68% |
By Question
Cross-tabulate with another question:
Usage Frequency | Likelihood to Recommend |
Daily | 8.5/10 |
Weekly | 7.2/10 |
Monthly | 5.8/10 |
Breakdown Chart View
Grouped View
Side-by-side bars per segment:
Easy comparison
Same scale
Direct contrast
Stacked View
Segments stacked within bars:
Shows total and parts
Proportion visible
Compact display
Table View
Numeric breakdown:
Exact values
Sortable columns
Statistical measures
Breakdown Filtering
Combining Filters
Apply multiple filters:
Filter to subset (e.g., "Completed only")
Apply breakdown (e.g., "By persona")
View segmented data within filter
Example
Filter: Status = Complete AND Quality = High Breakdown: By Persona
Result: High-quality completed responses segmented by persona.
Segmentation Options
Available Dimensions
Dimension | Source |
Persona | AI-generated segments |
Theme | Qualitative analysis |
Panel | Recruitment source |
Question | Any survey question |
Custom | Labels and tags |
Choosing Dimensions
Goal | Recommended |
Customer segments | Persona |
Qualitative connection | Theme |
Sample comparison | Panel |
Specific analysis | Question |
Interpreting Breakdowns
Sample Size Considerations
Segment Size | Reliability |
n > 100 | High confidence |
50 < n < 100 | Moderate |
30 < n < 50 | Use with caution |
n < 30 | Directional only |
Statistical Significance
Consider:
Sample size per segment
Margin of error
Practical vs. statistical significance
💡 Tip: Segments under 30 responses may show unreliable patterns. Look for consistency across multiple questions.
Common Patterns
Finding Differences
Look for segments where:
Results differ from average
Patterns are opposite
Options over/under-represented
Identifying Drivers
Use breakdowns to understand:
Satisfaction correlates
Valuable segments
Behavior drivers
Using Breakdowns
In Analysis
Start with overall view
Apply persona breakdown
Identify segment differences
Explore with question breakdowns
Validate with themes
In Presentations
Lead with insight
Show segmented data
Note sample sizes
Recommend actions
In Reports
Include breakdowns when:
Segments show meaningful differences
Sample sizes support claims
Findings are actionable
Best Practices
Effective Breakdowns
Guideline | Reason |
Start with personas | High-level understanding |
Use themes for context | Connect qual and quant |
Check sample sizes | Ensure reliability |
Look for patterns | Multiple questions |
Avoiding Pitfalls
Don't over-segment (too many dimensions)
Verify unexpected findings
Consider confounding factors
Report limitations honestly