Accurate consumer insights can make or break a product, with nearly 90% of new products failing due to poor market research.
Great survey questions bridge the gap between understanding consumer needs and meeting them. Poorly crafted questions lead to misleading data and bad decisions.
This article covers how to write market research questions, common pitfalls, and example questions for different objectives. We'll also show how Highlight can improve your approach for deeper insights.
Sample Market Research Questions for Different Objectives
Market research questions aren’t one-size-fits-all. They should be carefully crafted based on your research goals.
For example, asking customers what features they value most can guide product improvements, while questions about overall satisfaction can help improve the customer experience.
Here are some examples:
Product Development Questions
- “What problem does this product solve for you?”
- “Which product features do you use most frequently?”
- “How does this product compare to others you’ve used?”
"What would make you choose this product over your current go-to?" - "Is there anything about this product you would remove or simplify?"
These questions help uncover pain points, highlight frequently used features, and reveal how your product stacks up against competitors.
Customer Experience Questions
- “How satisfied are you with our product’s ease of use?”
- “What is the main reason you contacted customer support?”
- “How could we improve your overall experience?”
How well does this product meet the expectations set by its packaging or marketing?" - "How likely are you to repurchase this product, and what would influence that decision?"
Customer feedback is essential in pinpointing friction points in your service, whether it’s a confusing user interface or the need for better customer support.
Brand Awareness Questions
- “How did you first hear about our brand?”
- “What adjectives would you use to describe our brand?”
- “Would you say you trust our brand? Why or why not?”
"How does our brand compare to others you consider in this category?" - "What would make you more likely to recommend our brand to someone else?"
These questions focus on understanding how your brand is perceived in the market and how that perception affects purchasing decisions.
Industry-Specific Questions
Tailoring your market research questions to your industry or product category makes the data more relevant and actionable.
Food, Beverage & Supplements
- "How frequently do you purchase [specific supplement] products?"
- "What factors most influence your decision when choosing a new beverage?"
- "How important is the product's packaging to your purchase decision?"
"How important is the nutritional information when selecting this product?" - "How does this product fit into your typical eating or snacking routine?"
- "How does the texture or mouthfeel of this product compare to your expectations?"
Personal Care & Beauty
- "What are the key ingredients you look for in skincare products?"
- "How satisfied are you with the long-lasting effects of this beauty product?"
- "Which beauty product feature (e.g., scent, texture, packaging) stands out the most to you?"
- "How quickly did you notice the results from using this product?"
- "How does this product's scent or texture affect your likelihood to repurchase?"
- "How well does this product fit into your existing skincare or beauty routine?"
Apparel
- "How does the fit of our apparel compare to other brands you wear?"
- "What is the most important factor when deciding to purchase new clothing (style, material, price)?"
- "How satisfied are you with the durability and washability of our garments?"
- "How does this garment hold up after multiple washes?"
- "How true to size is this product, and how does that affect your confidence purchasing online?"
- "How does wearing this product make you feel compared to similar items you own?"
Household Cleaning & Goods
- "How effective do you find this product for cleaning tough stains or surfaces?"
- "What specific features (e.g., eco-friendly, scent, effectiveness) influence your decision to purchase cleaning products?"
- "How likely are you to recommend this cleaning product to a friend or family member?"
Alcohol & NA
- "What occasions do you most associate with drinking this product?"
- "How does the taste of this product compare to similar options you've tried?"
- "How important is the alcohol content (or lack thereof) in your purchasing decision?"
- "How does the packaging influence your perception of this product's quality?"
- "Would you feel comfortable serving this product to guests? Why or why not?"
Kids & Baby
- "How confident are you in the safety and ingredient transparency of this product?"
- "How easy is this product to use in the context of a busy parenting routine?"
- "How does your child respond to this product compared to others you've tried?"
- "How important is sustainability or eco-friendliness when purchasing products for your child?"
- "Would you recommend this product to other parents? What would be your main reason?"
Pet Care (general)
- "How does your pet respond to this product compared to their previous product?"
- "How confident are you in the ingredients or materials used in this product?"
- "How easy is this product to use as part of your regular pet care routine?"
- "How does the price of this product compare to the value it provides for your pet?"
Cat Food
- "How readily does your cat accept this food compared to their usual brand?"
- "How satisfied are you with the ingredient quality and transparency on the label?"
- "Does your cat finish their serving consistently, or do they leave food behind?"
- "How does this food affect your cat's energy levels or coat condition over time?"
Dog Food
- "How enthusiastic is your dog about this food compared to what they normally eat?"
- "Have you noticed any changes in your dog's digestion, energy, or coat since switching?"
- "How important is protein source or ingredient origin in your dog food purchasing decisions?"
- "How does the portion size and feeding guidance compare to your expectations?"
Household Goods
- "How does this product's performance compare to the product you were using before?"
- "How long do you expect this product to last before needing to be replaced?"
- "How important are eco-friendly or non-toxic claims when purchasing household products?"
- "Does this product make a task noticeably easier or faster than your previous solution?"
Footwear
- "How does the comfort of this footwear compare to other shoes you wear regularly?"
- "How well does this footwear perform in the conditions you most commonly wear it in?"
- "How does the fit compare to your expectations based on your usual size?"
- "How satisfied are you with the durability of materials after extended wear?"
- "Would the way this footwear looks affect whether you'd wear it in public?”
Highlight can assist with creating industry-specific question sets, ensuring you gather the right data for your business goals.
5 Types of Market Research Questions
When crafting market research questions, a mix of question types helps to gather well-rounded insights into your audience. Below are some key categories of questions that can help you dig deeper into consumer behavior and preferences:
1. Demographic questions give you a profile of who your consumers are.
Example: “What is your age range?”
Other important demographic questions could focus on income level, gender, education, or location.
2. Psychographic questions focus on consumer attitudes, values, and lifestyle choices, providing insight into why consumers make certain purchasing decisions.
Example: “What motivates you to purchase eco-friendly products?”
Understanding consumer motivations and values allows you to align your product and messaging with what your audience cares about most.
3. Behavioral questions identify usage patterns, preferences, and habits, providing insight into how your product fits into their daily lives.
Example: “When do you most frequently use this product?”
With behavioral data, you can make informed decisions on product development and marketing strategies.
4. JAR (Just About Right) Scale questions assess the optimal level of product attributes, such as flavor, texture, or scent, by asking consumers to rate whether these characteristics are too much, too little, or just right.
Example: “How do you feel about the sweetness level of this product?”
By using JAR scale questions, you can fine-tune product attributes to meet consumer preferences more effectively.
5. TURF (Total Unduplicated Reach and Frequency) Analysis questions focus on understanding which combination of products, features, or attributes will reach the largest number of unique consumers.
Example: “Which of these flavors are you most likely to purchase?”
TURF analysis helps you optimize product offerings by identifying the combination that maximizes consumer reach and satisfaction.
Highlight’s platform allows you to filter your audience by 30+ demographic and behavioral criteria, giving you precise insights into the exact consumer profiles you’re looking to reach – perfect for product testing beginners and experts. Whether you're conducting a demographic deep dive or analyzing psychographic trends, Highlight’s community of testers ensures that your market research questions are delivered to the right people.
6 Best Practices for Writing Effective Market Research Questions
Effective market research questions require clarity and precision to yield actionable, unbiased insights. Here’s how:
1. Be clear and specific.
Avoid vague questions like “How do you feel about this product?” Instead, ask, “Which feature of this product do you find most useful?”
2. Avoid leading questions.
Leading questions skew results. Replace “Wouldn’t you agree this product is great?” with “How would you rate your satisfaction with this product?” to ensure credibility.
3. Balance quantitative and qualitative questions.
Use a mix of qualitative and quantitative questions for deeper consumer insights.
Quantitative Questions
- Rating Scale: "On a scale of 1 to 10, how satisfied are you with our product?"
- Multiple Choice: "How often do you use this product? (Daily, Weekly, Monthly, Rarely, Never)"
- Yes/No: "Would you recommend this product to others? (Yes/No)"
Qualitative Questions
- "What feature of the product do you find most useful?"
- "How could we improve your experience with our service?"
- "Can you describe any challenges you’ve faced while using this product?"
1. Avoid Industry Jargon
Using industry jargon or overly technical language can confuse respondents and lead to incomplete or inaccurate responses. Instead of “What’s your opinion on the product’s UX/UI functionality?” use “How easy is it to use this product?”
2. Avoid Asking Double-Barreled Questions
A double-barreled question asks about two different things but expects a single answer. This can lead to unclear results. Questions like “How do you feel about the product’s design and price?” combine two topics, leading to unclear answers. Split it into “How satisfied are you with the product’s design?” and “How do you feel about the product’s price?"
3. Pre-Test Before Deployment
Pre-testing your survey on a small sample of respondents before a full deployment, often called a “pilot study,” helps identify confusing or problematic questions before they reach a larger audience. Pre-testing ensures that your final survey yields reliable, high-quality data.
Highlight’s Solution Blueprints provide templates that help market researchers create effective surveys that avoid these common pitfalls. Some of the available solutions include:
Sensory Evaluator: Identify the key strengths and areas of improvement for a product’s sensory features.
Prototype Tester: Compare different prototypes across various KPIs to determine which performs best.
Highlight Greenlight: Gauge whether a product is ready for market based on performance benchmarks.
Alienation Assessor: Understand the impact of product changes on performance.
Product Refresher: Identify in-market product performance improvements.
Comparing Good vs. Bad Market Research Questions
The difference between a good and a bad question can directly impact the quality of the data you collect. Below, we’ll compare examples of well-designed questions versus bad ones and explain why some questions perform better than others.
|
Bad Question Type |
Example |
Why It Fails |
Good Alternative |
Why It Works |
|
Leading |
"You're happy with this product, right?" |
Nudges the respondent toward a positive answer |
"How would you rate your overall satisfaction with this product?" |
Neutral framing lets respondents answer honestly |
|
Vague |
"How do you feel about this product?" |
Too broad to produce actionable data |
"Which feature of this product do you find most useful?" |
Specific enough to generate a meaningful, comparable answer |
|
Double-barreled |
"How do you feel about the product's design and price?" |
Two questions in one — you can't tell which the respondent is reacting to |
"How satisfied are you with the product's design?" + "How do you feel about the product's price?" |
Separating them gives you clean, attributable data for each |
|
Jargon-heavy |
"What's your opinion on the product's UX/UI functionality?" |
Confuses respondents unfamiliar with technical terms |
"How easy is this product to use?" |
Plain language gets more accurate and complete responses |
|
Assumptive |
"How often do you use this product every day?" |
Assumes a usage pattern that may not apply to the respondent |
"How often do you use this product?" with frequency options |
Lets respondents self-report without being primed |
|
Hypothetical |
"Would you buy this product if it were cheaper?" |
Hypotheticals produce unreliable responses that don't reflect real behaviour |
"How does this product's price compare to what you'd expect to pay for it?" |
Grounds the question in the respondent's actual frame of reference |
Market Research Questions & AI
If you’re not sure where to start, free tools like ChatGPT can help you get the ball rolling. But remember, the responses any tool generates are only as good as the prompts you provide to it.
Sample AI Prompt
Here’s an example prompt that we put into ChatGPT:
“Generate 5 market research questions aimed at understanding user preferences for eco-friendly cleaning products.”
And here’s what it generated in response:
- "Which eco-friendly cleaning product features are most important to you?"
- "How frequently do you purchase eco-friendly cleaning products?"
- "What motivates your choice of eco-friendly cleaning products over conventional ones?"
- "On a scale from 1 to 10, how satisfied are you with the performance of eco-friendly cleaning products?"
- "What would you change or improve about the eco-friendly cleaning products you currently use?"
These AI-generated questions are clear, specific, and targeted toward understanding consumer preferences, making them more likely to yield actionable insights.
A word of caution: as tempting as it can be to rely on AI to do the market research work for you, it absolutely can–and will–make mistakes. It might be able to pull insights from past surveys, but it struggles to understand and apply recent cultural shifts or emerging consumer sentiments that could impact your research.
In short, don’t use AI to interpret nuanced human emotions or as a single source of truth. When you have millions invested in product development on the line, use AI for streamlining your baseline data analysis and brainstorming market research questions, but let the human professionals take it from there.
How Highlight Can Help You Ask the Right Questions
The right questions lead to the right answers—insights that truly move the needle.
Clear, focused market research questions can reveal the real needs, preferences, and behaviors of your audience.
With Highlight, you’ll have access to cutting-edge technology alongside real humans (with decades of market research experience) to refine your approach. Get real, actionable insights that translate into smarter strategies and bigger wins.

