Interpretation Basics
Turn your survey data into actionable insights that drive product decisions. This tutorial covers interpretation strategies for each survey type.
⏱️ Estimated time: 15 minutes
Interpreting Results by Survey Type
FastPoll Results
What to look for in poll data:
- Clear winner (>50% for one option) — strong signal to act
- Split opinions (multiple options near equal) — may need more research
- Outliers that might indicate question confusion
UserChoice Results
Analyze preference data for:
- Preference strength between options (how decisive are users?)
- Consistency across different comparisons
- Segments with different preferences (power users vs. new users)
PricePoint Results
Identify from Van Westendorp analysis:
- Price sensitivity thresholds (too cheap, too expensive)
- Optimal price range where most users are comfortable
- Willingness to pay distribution across your audience
FeaturePriority Results
Examine ranking data for:
- Average ranking positions — what consistently ranks high?
- Consensus vs. divided opinions — is there agreement?
- Must-have vs. nice-to-have features for roadmap planning
OpenFeedback Results
Look for in qualitative responses:
- Common themes and patterns across multiple responses
- Sentiment analysis (positive/negative/neutral tone)
- Specific suggestions and pain points to address
Best Practices
- Wait for sufficient sample size before drawing conclusions
- Consider context and timing of responses
- Look for patterns, not just individual responses
- Combine quantitative data with qualitative feedback
- Share findings with your team for diverse perspectives