Demographic survey

Demographic questions only earn their place if you'll actually segment by them. This template keeps the set short and respectful — clear options, a prefer-not-to-say on everything — so you get clean cuts without making anyone uncomfortable.

Best for: Researchers, marketers, and PMs who need to slice survey results by who answered.

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What best describes your role?

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The questions

  1. 1What best describes your role?Single selectOffer the handful of roles you'll actually segment by, plus 'Other' — don't list twenty.
  2. 2How large is your company?Single selectJust me / 2-10 / 11-50 / 51-200 / 201-1000 / 1000+ — ranges segment cleanly without prying.
  3. 3Which industry are you in?Single select
  4. 4Which region are you based in?Single selectRegion-level is enough for segmentation and far less invasive than exact location.
  5. 5How long have you been doing this kind of work?Single selectUnder 1 year / 1-3 / 3-5 / 5-10 / 10+ — experience often explains differences better than role.
  6. 6Anything about your situation that would help us read your other answers?Long textOptional catch-all so people can add context the fixed options miss.

How to run it well

  • Only ask what you'll segment by — every demographic question you can't act on is friction that lowers completion.
  • Add a 'prefer not to say' option to each question and make the whole section optional; respecting the opt-out keeps response quality high.
  • Put demographics at the end, after the questions you care about, so a privacy hesitation doesn't cost you the whole survey.
  • Say plainly how you'll use the answers — 'to group results by company size' — before you ask; a stated purpose lifts completion.
  • Use ranges instead of exact figures for size, age, or income; people answer brackets honestly and skip the precise versions.

FAQ

Where should demographic questions go?

At the end. Front-loading them makes people justify their participation before they've engaged, and any single sensitive question can sink the whole response. Earn the answers first.
Ask only what you'll use, offer inclusive options plus prefer-not-to-say, use ranges over exact numbers, and state the purpose. Respect for the opt-out is what keeps the data you do get honest.

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