Survey Design

Design surveys that produce reliable, interpretable data — with clear questions, sensible scales, and bias-aware structure. Use when building questionnaires for customers, employees, research panels, or market studies.

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Survey Design

Overview

Survey quality is mostly design quality. Poor questions produce confident, misleading numbers. Good design maximizes truth per minute of respondent time.

When to Use

  • Customer, employee, or market questionnaires
  • Tracking studies and pulse surveys
  • Concept and pricing tests via survey
  • Academic or program evaluation instruments

Core Practices

  • Start from decisions and constructs, not a wishlist of questions
  • Use simple, specific language; avoid double-barreled items
  • Choose scales intentionally (and keep them consistent where comparing)
  • Randomize or rotate sensitive order effects when needed
  • Pilot for comprehension and timing
  • Plan analysis before fielding

Principles

  • Every question costs attention — earn it
  • Leading and loaded wording poison results
  • Mandatory long surveys increase junk data
  • Incentives and channel choice affect who responds

Verification

  • Each question maps to an analysis need
  • Pilot feedback was incorporated
  • Sampling and nonresponse risks are acknowledged

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Frequently asked questions

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