Sanjaay Gowda T S
Philip Morris International Inc. practice

ORIGINAL COMPANY-CONTEXT PRACTICE

Analyze feedback from a self-selected survey

Data scienceHardConcept

Original practice scenario: A synthetic consumer survey is sent after product registration, but only a small fraction respond. How should an analyst describe satisfaction results?

Written for independent practice using company context; this is not a verified question from a company interview.

A REASONED APPROACH

Model answer.

The responses describe respondents, not automatically the entire customer population. Registration and response behavior can both select a subgroup whose experiences differ from non-respondents.

Work through it

  1. Define the target population and sampling stages, then compare observable characteristics of invitees, respondents and the intended customer base.
  2. Report response rates and uncertainty by segment; use weighting only with defensible inclusion or response assumptions and adequate overlap.
  3. Run sensitivity analyses for plausible non-response patterns and distinguish descriptive survey associations from causal effects of product changes.

Tradeoffs to discuss

  • Weighting can reduce measured imbalance but increases variance and cannot remove bias from unobserved factors without additional assumptions.

Common pitfalls

  • Do not treat a narrow confidence interval as proof of representativeness.
  • Avoid extrapolating beyond the population actually covered by the survey design.

KEEP PRACTISING

Related questions.

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