Clarity Trumps All

Principle: Questions must be simple, direct, and jargon-free to ensure accurate responses.
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Clear questions minimize confusion and respondent burden, yielding reliable data. Complex wording overloads working memory, skewing results (Sweller et al., 2019; Groves et al., 2009).

Examples

Jargon vs. Plain Language

“How would you rate the UX affordances and information architecture of our digital platform?”

Problems:

  • Uses technical jargon unfamiliar to many users
  • Creates anxiety and confusion for non-experts
  • May lead to skipped questions or inaccurate responses

“How easy was it to find what you were looking for on our website?”

Benefits:

  • Uses plain language accessible to all respondents
  • Captures the same information in simpler terms
  • Encourages honest, thoughtful answers

Vague vs. Clear Language

“How much do you read?”

Problems:

  • Doesn’t define what “read” means (books, articles, social media?).
  • No time frame given (daily, monthly, yearly?).
  • “Much” is subjective and open to wild guesses.
“In a typical month, how many hours do you spend reading books or e-books?”

Benefits:

  • Specifies “reading books or e-books” to focus the scope.
  • Sets a clear time frame: a typical month.
  • Uses a precise unit (hours) for consistent answers.

How to Apply It

Clear questions ensure consistent interpretation and reliable data.

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Keep Questions Short

Limit questions to under 25 words.

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Use Simple Language

Use familiar words like 'help' instead of 'facilitate.'

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Avoid Complicated Syntax

Use short, straightforward sentences.

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Use Respondents’ Vocabulary

Use words your audience knows; skip jargon unless it’s familiar.

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