Survey prompts that get you a draft worth keeping

You already know what you want to learn. The harder part is turning that goal into a prompt that SurveyMonkey AI can actually act on.

A vague ask like "make me a customer survey" gives Build with AI almost nothing to work with. A specific prompt, built around your role, your goal, and your audience, gives it a real brief to work from.

This page skips the prompt-writing tutorial. For the full anatomy of a strong prompt, see our guide on 5 steps to create AI prompts for high-quality surveys and forms. What you will find here instead: prompts for seven common survey types you can copy today, plus the review checklist survey scientists use to catch what AI tends to miss.

A strong survey prompt for Build with AI covers five things: your role, your goal, what you want to know, your audience, and the structure you need. Skip one of these and the AI fills the gap with a guess.

We already broke each part down step by step in 5 steps to create AI prompts for high-quality surveys and forms. Read that first if you want the full walkthrough, including why specificity, objectivity, and prioritization matter.

From here, we are assuming you know the basics and want prompts you can adapt right now, organized by the survey you are actually trying to build.

Each prompt below follows the same formula: role, goal, audience, and structure, in two or three sentences. Swap in your own details and paste it into Build with AI to generate a starting draft. Then run that draft through the checklist in the next section before you send anything.

Use this when you need to understand how customers feel about a recent purchase, support interaction, or renewal decision.

Prompt: "I'm a customer experience manager at a mid-size software company. I need a survey to measure satisfaction with our support team after a ticket is closed. Ask about response time, resolution quality, and likelihood to renew. Keep it under eight questions for a business audience, and include one open-ended question for additional comments."

What to check: confirm the first question is easy and on-topic rather than the open-ended one, and that response time and resolution quality are asked as separate questions instead of combined into one. See our customer satisfaction survey template if you want a starting structure instead.

Use this when HR wants a broader pulse on morale, workload, or confidence in leadership across departments.

Prompt: "I'm an HR professional at a 500-person company. I want a survey to measure employee engagement, focusing on workload, recognition, and confidence in leadership. The audience is full-time employees across three departments. Use a mix of Likert scale questions and one open-ended question, and keep it anonymous."

What to check: make sure department and tenure questions sit at the end rather than the start, and that the introduction promises confidentiality, since that matters more for an EX survey than most other types. Our employee engagement survey template covers the same ground if you would rather start there.

Use this right after a conference, webinar, or internal event, while the experience is still fresh for attendees.

Prompt: "I'm an events marketing manager. I need a short post-event survey for attendees of a one-day virtual conference. Ask about session quality, speaker relevance, and likelihood to attend next year. Keep it to five questions or fewer so people finish it on their phones."

What to check: confirm the survey opens with an easy, specific question, such as overall session quality, instead of the open-ended one, and that the total length actually matches what you asked for. Our event feedback survey template is a fast starting point too.

Use this when a product team wants reactions to a new feature, beta release, or redesign from people who have already tried it.

Prompt: "I'm a product manager launching a new dashboard feature in beta. I need a survey for beta users to measure ease of use, how well the feature meets their needs, and what's missing. The audience is technical users already familiar with the product, so questions can use some product-specific language."

What to check: verify that multiple-choice answer lists include an escape option, such as "haven't tried this yet," since beta users will not all have used every part of the feature. Our product testing survey template has a similar structure already built.

Use this when marketing or insights teams need a quick read on awareness or purchase intent before committing to a bigger study.

Prompt: "I'm a market researcher at a consumer goods company. I need a survey to gauge awareness of a new eco-friendly packaging line among adults 25 to 45. Ask about familiarity, purchase intent, and price sensitivity. Keep the brand name and any logos out of the introduction, since we're measuring unaided awareness."

What to check: confirm the introduction and any images are actually free of brand names or logos, since branding in the intro of an awareness study measurably inflates recall. Explore our market research solutions for the panel and methodology options behind this kind of study.

Use this for a recurring loyalty or satisfaction check tied to a specific moment, such as checkout or contract renewal.

Prompt: "I'm a CX lead at a subscription business. I need a short NPS survey to send after checkout, with one follow-up open-ended question asking why someone gave that score. The audience is customers who completed a purchase in the last 24 hours."

What to check: make sure the NPS question stays on its own, with the reason-why question placed immediately after it rather than folded into the same question. Our Net Promoter Score survey template^® uses this same two-question pairing.

Use this for a quick, recurring check-in run by a people manager rather than a full HR engagement program.

Prompt: "I'm a people manager leading a team of 12. I want a short, recurring pulse survey to check in on workload and morale every two weeks. Keep it to three questions, make it anonymous, and avoid anything that feels like a performance review."

What to check: confirm the draft actually stays under five questions total, since a recurring pulse survey only keeps working if your team finishes it every single time. Browse our employee engagement solutions for more on building a recurring cadence.

Here is the same set of prompts side by side, so you can scan for the use case closest to yours:

Build with AI gets you most of the way there, but a few things still need a human check. Survey science gives us four checks worth running on every draft, every time.

Read through the draft question by question. Each one should satisfy six qualities:

Watch especially for double-barreled questions that ask about two things at once, such as satisfaction with "pay and benefits" combined into a single question. Split those into two.

Completion rates drop as surveys get longer. SurveyMonkey data shows a one-question survey finishes at close to 94%, while a 40-question survey drops to around 79%, so every extra question has a real cost.

If Build with AI generated more questions than your prompt called for, cut anything that doesn't map directly to the goal you stated.

Check that the first question is easy, on-topic, and not open-ended, since that combination is the one most likely to make someone quit early. Confirm general questions come before specific ones within a topic, and that anything sensitive or demographic sits near the end, after some rapport is established.

If your prompt asked for branching based on earlier answers, confirm the draft actually includes it. Surveys with working skip logic show higher completion rates, 96% compared with 89%, and notably fewer "fair" or "poor" experience ratings.

Scan for three common wording traps that AI drafts can still slip into:

Our guide to how to avoid common types of survey bias goes deeper on each of these if you want more examples before your next send.

Build with AI isn't guessing at survey structure from scratch. It draws on more than two decades of SurveyMonkey survey science, the same expertise behind the checklist above, to suggest question types and flag issues before you hit send.

That's also why the checklist still matters. AI handles the heavy lifting of a first draft, but the context only you have, your audience, your brand voice, and your actual goal, still needs a human pass before launch.

If you want to go deeper on question types and scales before writing your next prompt, our guide to the Likert scale is a good next stop.