Why in-app surveys matter
Behavioural data tells you what someone did, not why. An in-app survey closes that gap: a direct question at the right moment is the most reliable way to obtain declared data from a person.
Typical applications:
- After a first purchase: “What helped you decide?” — input for onboarding new users
- After a cancelled order: “Why did you cancel?” — input for fixing real pain points
- After N sessions with no purchase: “Did you not find what you needed?” — spotting assortment gaps
- Once a quarter: an NPS measurement — tracking loyalty over time
Question formats
| Format | Use |
|---|---|
| NPS (0–10) | Overall loyalty |
| Single choice | The reason for an action, from a fixed list |
| Multiple choice | Decision factors |
| Open text | Detail and nuance the options did not anticipate |
| Rating (1–5 stars) | An assessment of one specific part of the experience |
Tip: combine a closed question, for quantitative analysis, with an open follow-up shown only after a critical score. That gives you both analytics data and qualitative insight without overloading the majority of respondents.
Zero-party data from surveys
Answers to in-app surveys are a valuable source of zero-party data: the person states preferences that are hard to infer from behaviour. “I am shopping for a gift”, “I only buy organic”, “I have a pet” — statements like these let you personalize content far more precisely than any behavioural signal can.
Common mistakes
- Too many questions. One to three is the maximum. Every extra question lowers the completion rate.
- Asking at the wrong moment. A survey on first launch, before the person has done anything, returns nothing useful.
- Ignoring the answers. Collecting data and changing nothing in the product is the worst outcome. Someone who spent time answering expects to have been heard.