Dropdown Survey Questions

Dropdown questions are useful when a social science research survey needs one answer from a long categorical list without filling the page with options. They work well for states, countries, institutions, occupations, languages, departments, study sites, or other long controlled vocabularies.

If the answer list is short or respondents need to compare all options at once, use Multiple Choice survey questions instead. Dropdowns trade visibility for compactness.

• Clean categorical data keeps long lists standardized for export and analysis.
• Compact presentation reduces visual load in demographic or administrative sections.
• Visible current value helps respondents confirm the selected category before moving on.
• Reusable lists are helpful for repeated surveys across panels, classes, or institutions.

1. Step 1: Open Block Builder. Open the survey and select the block where the long categorical list belongs.

   Step 1: Open Block Builder

2. Step 2: Add the question. Choose Dropdown from the question type selector.

   Step 2: Choose Dropdown question type

3. Step 3: Enter the options. Add each option exactly as you want it displayed to respondents and stored for analysis.

   Step 3: Enter options

4. Step 4: Set the placeholder. Use a clear prompt such as "Select a country" when the expected answer type needs context.

   Step 4: Set the placeholder

5. Step 5: Name the variable. Give the question a short export name such as country, state, or institution.

   Step 5: Name the variable

6. Step 6: Preview on mobile. Open Preview and confirm the dropdown remains easy to use on a small screen.

   Step 6: Preview on mobile

7. Step 7: Freeze labels after launch. Avoid changing option labels once live data collection begins unless the change is documented in your codebook.

   Step 7: Freeze labels after launch

Dropdown answers export as a single selected value. They are a good fit for variables that may later be used in Flow, including by-variable experimental assignment, stratification, and quota logic. For very sensitive categories, include "Prefer not to answer" when your research protocol requires it.

• Multiple Choice Survey Questions
• Create Experimental Conditions
• Set Survey Quotas
• Publish and Share a Research Survey