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.