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.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- survey-design
- description
- 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.
03 SKILL.md 正文
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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