Why Randomization Matters
Randomization helps reduce order effects in social science research surveys. Depending on the measure, researchers may randomize answer options, matrix rows, conjoint rows or columns, slider orientation, or the order of questions inside a block.
Preview: Respondent View
Configure Randomization
Step 1: Open Block Builder. Select the question or block whose order could bias responses.
Step 1: Open Block Builder
Step 2: Click Options on the question card. The Options button opens the configuration panel where order controls live.
Step 2: Click Options on the question card
Step 3: Choose the order setting. Use the order dropdown for answer order, row order, column order, ranking item order, conjoint attribute order, or slider flip.
Step 3: Set the order in the options panel
Step 4: Keep meaningful sequences fixed. Do not randomize consent, instructions, dependent follow-ups, or ordered scales where sequence matters.
Step 4: Review fixed versus randomized options
Step 5: Preview multiple times. Open Preview repeatedly to see whether random draws and fixed options behave as expected.
Step 5: Preview randomized question
Step 6: Export order data. Open Export and include order fields when display order affects analysis.
Step 6: Include order fields in Export
Randomization Options In Domandata
- Multiple Choice: fixed, reverse, or shuffle answer options.
- Ranking: fixed, reverse, or shuffle the starting item order.
- Grid Matrix: randomize rows, columns, or both for repeated measures.
- Conjoint: randomize attribute rows and alternative columns independently, or turn on Balance combinations across respondents to rotate the whole sample through a shared, evenly balanced sequence of valid combinations instead of independent draws (small designs only — see Conjoint Survey Questions).
- Slider: flip orientation while keeping stored values consistent.
- Blocks: shuffle questions inside a block when question order is not meaningful.
Options Panel: Grid / Matrix Row and Column Order
Options Panel: Conjoint Attribute and Column Order
Why There Is No Even/Random Choice Here
The order controls on this page are a different kind of randomization from experimental condition arms, random-mode variables, or permutation assignments. An order shuffle still shows every option, row, column, or question to every respondent exactly once — only the sequence changes. Because exposure is already even by construction, there is nothing to balance and no "even vs. random" toggle to make: order randomization is inherently exposure-neutral. Contrast this with assignment-type randomization (which arm, which outcome, which permutation slot a respondent gets), where an even/random choice is meaningful because different respondents can end up with different, unevenly distributed values. See How Randomization Works for the full picture across both kinds.
Export Randomized Order
When randomization affects interpretation, include order information in the export. Order snapshots help researchers audit what each respondent saw and model display-order effects if needed. See Export Research Survey Responses.
Export: Data and Files
Best Practices
- Do not randomize consent, instructions, or dependent follow-up sequences.
- Pin Other options last when respondents need an easy catch-all answer.
- Pilot randomized paths before publishing.
- Document randomization choices in your codebook.