Design a Comprehensive Survey Questionnaire for Research Studies

Create a structured, bias-checked survey questionnaire with validated scales, skip logic, and a pilot testing plan.

๐Ÿ“ The Prompt

Act as a survey methodologist with expertise in [ACADEMIC DISCIPLINE OR INDUSTRY]. I need to design a research survey questionnaire to investigate [RESEARCH OBJECTIVE]. My target respondents are [TARGET POPULATION], and I aim to collect approximately [TARGET SAMPLE SIZE] responses via [DISTRIBUTION METHOD: online, in-person, phone]. My key research questions are: 1. [RESEARCH QUESTION 1] 2. [RESEARCH QUESTION 2] 3. [RESEARCH QUESTION 3] Please design the questionnaire following these steps: 1. **Questionnaire Blueprint**: Create a structural outline organizing the survey into logical sections (e.g., demographics, attitudes, behaviors, outcomes). Specify the purpose of each section and how it maps to my research questions. 2. **Question Generation**: Write 20-30 survey items across all sections. For each item, specify: - Question text - Question type (Likert scale, multiple choice, open-ended, ranking, semantic differential) - Response options - Whether it is mandatory or optional 3. **Scale Selection**: Recommend validated scales or instruments (e.g., SUS, PHQ-9, NPS, TAM) relevant to [RESEARCH TOPIC] that I could adapt or adopt. Explain licensing requirements if any. 4. **Bias Mitigation**: Identify potential sources of response bias (leading questions, social desirability, acquiescence) and revise any problematic items. 5. **Skip Logic & Branching**: Suggest conditional logic pathways for at least 2 questions where respondent routing would improve data quality. 6. **Pilot Testing Plan**: Outline a pilot testing protocol including sample size, feedback collection method, and criteria for item revision. 7. **Estimated Completion Time**: Provide a realistic estimate and flag if the survey exceeds optimal length for [DISTRIBUTION METHOD]. Format the questionnaire in a numbered, copy-ready structure I can import into survey platforms like Qualtrics, Google Forms, or SurveyMonkey.

๐Ÿ’ก Tips for Better Results

Always pilot your survey with 5-10 people from your target population before full deployment. Keep online surveys under 10 minutes to minimize drop-off rates. Check whether validated scales require permission or licensing before including them in your study.

๐ŸŽฏ Use Cases

Academic researchers, UX professionals, and market research analysts use this when designing primary data collection instruments for quantitative or mixed-methods studies.

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