Analyze PostHog Survey Responses by Segment
Interpret responses alongside who saw the survey, who dismissed it and who answered. Segment differences can suggest follow-up questions; they do not automatically establish prevalence across all customers.
Before you start: Have the survey’s targeting definition, response data and appropriate person properties. Avoid exporting unnecessary identifying details for synthesis.
Worked example: An export survey receives complaints from first-time users and praise from repeat users. Compare exposure and response context before declaring the feature successful or broken overall.
Step-by-step guide
Reconstruct the audience
Record targeting, dates and the product moment that triggered the survey. Note whether eligibility changed during collection.
Inspect exposure and response
Review seen, dismissed and submitted counts where available. A high score from a small selected subset needs different interpretation from broad participation.
Choose meaningful segments
Use a small number of relevant groups such as first-time versus repeat users. Check group sizes before comparing averages or percentages.
Code open-text evidence
Group observations by underlying problem while keeping source context. Preserve disagreement and distinguish multiple comments from one person from distinct respondents.
Connect to behavior
Compare a proposed issue with relevant product events or research. Treat a request as a clue to a problem rather than automatically as a feature requirement.
Write the decision note
Summarize findings, sample limitations and next steps. Keep evidence links available to authorized readers and avoid implying the survey represents everyone.
Common mistakes
No exposure denominator
Response counts alone cannot show participation. Review who was actually asked.
Tiny segments ranked
Small groups can produce unstable apparent differences. Report counts and uncertainty.
Requests become requirements
Understand the problem and context before adopting the requested solution.
Tips
Keep contradictory comments in the synthesis.
Separate respondent counts from comment counts.
Record targeting changes beside the response period.
Sources and verification
Based on product documentation checked on 2026-10-24. This is a documentation-based guide, not a hands-on benchmark. Features and availability can change.