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Market Research Questions: How to Get Actionable Consumer Insights

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?”

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?”

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?”

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?"

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?"

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?"

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?"

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.

 

Good Question

Bad Question

“How satisfied are you with the product’s durability?”

“You’re happy with this product, right?”

Why it works: It’s clear, specific, and unbiased.

Why it fails: This question is leading.

 

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.

 

Ready to take your market research to the next level? Start with Highlight today!

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