Insights
Insights aggregate response data across surveys in a website container so you can spot patterns without switching between individual studies.
Insight Areas
Depending on the surveys running in a website, insights can be grouped by area:
- Overall — health snapshot across active research
- Pricing — willingness-to-pay and sensitivity signals
- Features — demand and prioritisation patterns
- Preferences — option-level trade-off trends
- Opinions — directional response distribution
- Queries — open-text themes and qualitative signals
How to Read Insights Reliably
- Start with response volume and completion quality
- Compare changes across a defined date range, not single-day swings
- Cross-check quantitative charts with open-ended responses
- Validate surprising patterns with follow-up surveys before major product decisions
Interpret trends as directional evidence. Pair insights with product context such as release timing, traffic sources, and audience mix.
Decision Hygiene
- Use a consistent lookback window when sharing recurring reports
- Separate exploratory reads from decision-readout summaries
- Document hypothesis, action, and expected metric movement before shipping changes