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What should the end product of the project be? From whom, and why do you plan to collect data?- At the beginning, decide exactly what data you wish to collect. You should seek this, and no more.
- Clear (piloted) questions help avoid ambiguity, and are essential for getting good data.
- Consider a few demographics - age, academic class, etc - to get a sense of how different groups respond. This provides social context for your data.
- But avoid too many questions - ask only what’s useful to your purposes.
- Learn to use conditional logic to avoid asking irrelevant questions.
- Multiple choice questions supply the best data for math calculations. But be careful that your answer choices encompass all that's appropriate and not redundant.
- How motivated will respondents be to fill out your form? Do you have an incentive plan?
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How will respondents get to or receive access to your form? How strict are your anonymity requirements? Do you want to send follow-up communication, or at least track participation? How many respondents do you seek or anticipate? What distribution regime can you realistically manage?
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Learn all features of your survey tool that you’ll need. Learn to use software (and math functions) outside the survey application, which you need for calculations and reporting.
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Pilot!Have sample similar to respondents provide feedback on form experience: accessing form, form UX, question clarity and appropriateness. Use dummy data to work through all calculations and reporting. Generate a mock product before the real product. Then you know what to do with the real data and more importantly, that you’re collecting the correct data for your purposes.
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Responsibilities- What full-time employee(s) will be employed on the project?
- Keep a journal or documentation for the project.
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