AI Survey Generator: How to Prompt It and How to Check What It Writes

1. Brief. Write down the decision, the audience and the limits.
2. Structure. Ask the model for sections and their order, not questions.
3. Draft. Ask for questions one section at a time, with answer options and routing.
4. Review. Check every question against the checklist below and rewrite what fails.
5. Pilot. Field the draft to a small group of real respondents and read every answer.

Steps 1, 4 and 5 are human work. The generator saves time on steps 2 and 3.

A one-line prompt ("survey about our new tea") gets a generic questionnaire. Fill in this template instead. The example is made up.

Paste the filled template into the generator as your first prompt. The "Decision" line matters most: it lets you reject any question that does not feed it.

Asking for the whole questionnaire in one go hides the structure. Ask in this order, and correct each answer before moving on:

Prompt A. "Using the brief above, propose the sections of this questionnaire in order, with one line on what each section measures. Do not write questions yet."

Prompt B. "Write the screener only. For each question, give the answer options and say which answers end the survey."

Prompt C. "Write section 2. Use neutral wording, give every closed question a complete list of options including 'Other' or 'None of these' where needed, and avoid agree/disagree scales."

Prompt D. "List every routing rule as a table: question, answer, next question."

Do not skip Prompt D. A routing table lets you check every path by hand, which matters most for the screener, where a wrong route lets the wrong people in.

Run every question through this list. The first four checks are based on Pew Research Center's guidance on writing survey questions (Pew); the fixes and the other checks are our own.

These are the kinds of questions a generator produces when the brief describes the product warmly. The rewrites are ours.

Pew's own example shows how much wording can move results: in a January 2003 survey, support for military action in Iraq was 68% for the plain question and 43% when a clause about possible casualties was added (Pew).

Generators can produce the standard question sets for named methods. Check them against the method's rules, not just for good English.

• Van Westendorp pricing. The draft must ask for each price point the method uses: too cheap, cheap, expensive and too expensive. Compare the draft with our Van Westendorp guide word for word. For a single price ladder, see Gabor-Granger.
• MaxDiff. The model can list items; it should not invent the experimental design. Generate the item list, then build the sets in a tool that balances them (MaxDiff guide).
• Kano. Each feature needs a paired question, one asking how people feel if it is present and one if it is absent, with the same answer scale (Kano guide).
• Skip logic. Ask for the routing table from Prompt D and walk every path yourself (skip logic guide).

Language support varies by tool. Google's April 2026 list of languages for "Help me create" in Forms names none from India (Workspace Updates). If your tool does write Hindi or Tamil, remember that fluent output is not the same as natural survey language.

Two checks help. First, have a second model or person translate the questionnaire back into English and compare it with the original; drifted meanings show up as differences. Second, give it to someone who grew up speaking that language in your target region; ask them to read it on a phone and mark any word that sounds bookish. Our multilingual survey guide covers this in more depth.

Pew calls pretesting "an essential step in the questionnaire design process" (Pew). For an AI-drafted questionnaire it is where you find out whether real people read the questions the way you meant.

In the pilot, read every open-ended answer. Look at how often "Other" and "Don't know" are chosen, since a high share on one question can point to a missing option. Check the routing by looking at who reached each section. Time the survey on a phone. Then fix the draft and pilot the changed questions again.

Our AI page says you can "Create surveys from a single prompt using AI". Treat that output like any other draft and run it through the checklist above, or bring a questionnaire drafted elsewhere and build it in our survey builder, which the Plus plan lists as unlimited. The Free plan includes 30 responses, enough for the pilot in step 5. If the full study is the ginger-tea test above at 900 respondents across Tier 2 cities, one Pro bundle costs 900 × ₹120 = ₹1,08,000 (pricing).

Results include cross-tabs, significance tests and coded open-ended answers, so the pilot's open answers are readable the same way the main study's will be (methodology).