You have a decision in front of you, and the easy mistake is to make it on a hunch. A market research survey collects opinions, preferences, and behaviors from your defined target audience, so you decide on validated answers instead of guesses. These 96 templates span brand awareness, consumer behavior, product testing, demographics, and name and logo research, so you start from one built for your goal rather than a blank page.
The hard part of research is rarely the questions, it is reaching the right people. The SurveyMonkey Audience panel reaches a global pool of 335M+ vetted respondents across 130+ countries, so you hear from your actual target market and not your own contact list. You choose who answers by age, gender, geography, occupation, and other demographic criteria, until results arrive in minutes. SurveyMonkey Genius, an AI tool that scores your survey, recommends question types and predicts completion before you field.
Templates in this category complete at a 94.4% average rate across about nine questions, and length is the strongest lever on that number. Short surveys of 1-10 questions finish at 97.4%; those past 21 questions drop to 80.7%. Built-in quality controls, including screeners, deduplication, and fraud detection, keep the responses trustworthy.
For the full definition, types, and steps of running a study, see our market research guide.
How to create a market research survey
Pick one of the 96 templates on this page, or open the market research solutions hub solutions hub to start from a guided expert solution.
Customize the questions to your research goal. Edit any template freely, or let SurveyMonkey Genius recommend question types as you build.
Set your audience. Use your own list, or buy responses from the Audience panel of 335M+ people and target by demographic criteria.
Add screening questions to reach a precise segment, such as category buyers or a specific age band.
Check the survey score before launch, since it predicts completion and flags weak or leading questions while edits are still cheap.
Launch and read results. Filter by segment, run cross-tabs, read sentiment on open-text answers, and export findings to share.
When to use market research surveys
Before a product launch: Validate demand, features, and pricing with your target market before you commit production budget.
Brand health tracking: Run a brand awareness study at regular intervals to watch recognition and sentiment move over time.
Consumer behavior and attitudes: Learn how and why people buy in your category, then map the path to purchase.
Competitive and market sizing: Size a segment or compare your standing against rivals with fresh, unbiased respondents.
Name, logo, and concept testing: Put naming, identity, or product concepts in front of the people who will buy them.
Pricing and opinion research: Test price sensitivity, or field political and social opinion polls when you need a representative read.
Who runs market research surveys
Insights managers and market researchers: They run structured studies like brand health and usage and attitudes, and they value a vetted panel, fast turnaround, and clean exports.
Product and brand marketers: They reach for templates that make the methodology calls for them when validating a new product or testing a name.
Small-business owners: They run DIY competitive and customer research without an agency retainer.
Academic and public-opinion researchers: They field representative samples for social studies or polling, using demographic targeting to build the right base.
Tips for creating a market research survey
Keep it under 10 questions: Short surveys finish at 97.4% against 80.7% past 21, so cut anything that does not inform the decision.
Survey the right market, not your inbox: Buy responses from the Audience panel when you need target-market feedback rather than your own customers' views.
Catch leading questions before launch: Let the survey score and SurveyMonkey Genius flag biased phrasing that would skew your data.
Let the analysis do the cross-tab work: Filter and cross-tabulate inside the dashboard instead of exporting raw data and rebuilding it by hand.
Frequently asked questions about market research surveys
What questions should I ask in a market research survey?
Start from a template built for your goal, since each one already loads vetted questions for brand awareness, product testing, or consumer behavior. Keep the set under 10 questions to protect the 97.4% short-survey completion rate. Mix rating scales for measurement with one open-ended question for the "why," and let SurveyMonkey Genius recommend question types as you build.
How much does a market research survey cost?
The survey itself is free to build from any of the 96 templates. The cost comes from buying responses through the Audience panel, a self-serve, one-time purchase priced by how many respondents you need and how specific your targeting is. Tighter demographic screens cost more per response than a general-population read. You set the sample size, so the budget scales to the decision.
What is the best platform for market research surveys?
Look for three things: a way to reach your exact target market, built-in quality controls, and analysis that does not require an analyst. SurveyMonkey pairs 96 templates with an Audience panel of 335M+ vetted people across 130+ countries, plus screeners, deduplication, and fraud detection. Guided expert solutions add methodology guardrails when a study needs them.
How do I analyze market research survey results?
Read results in the dashboard rather than exporting raw rows. Filter by any segment, cross-tabulate two variables to see how groups differ, and run sentiment analysis on open-text answers to surface themes. Trends update as responses land, and you can export charts and data when it is time to share findings with stakeholders.
How many people should I survey for market research?
Size the sample to the cuts you plan to present, not just a headline number. A single top-line read needs fewer respondents than one you intend to break out by age, region, or buyer type. Plan extra responses for every subgroup you want to compare, and use Audience targeting so each cell is the right population rather than whoever happened to reply.
