31 New Product Survey Questions: Examples for Better Insights

2. New Product Concept Validation Survey

Sample questions

1. In your own words, what do you think this product would help you do?

Response format: Open-ended, after a short, neutral concept description.

1. How relevant is this product to your needs?

Response format: Five-point scale from not at all relevant to extremely relevant.

1. Compared with your current solution, how useful would this product be?

Response format: Five-point comparative scale; include “I don’t have a current solution” and “Not sure.”

1. What is your main concern about this product concept?

Response format: Open-ended.

1. If this product were available at [price], how likely would you be to purchase it within [time period]?

Response format: Five-point likelihood scale; include “Not sure.”

Give everyone taking your product sample survey the same description covering the intended user, core benefit, and expected price.

Skip promotional adjectives like “revolutionary” and “best-in-class.” Your concept needs feedback, not a fan club.

Check concept comprehension first so you can separate confusing messaging from weak product appeal.

Plus, check stated purchase intent against behavioral evidence, such as completed purchases in a small pilot.

Why & When to Use

• Use this product sample survey once your idea is defined, before significant investment.

• Use the results to refine positioning, narrow your audience, test further, or stop pursuing the concept.

A meta-analysis found purchase intentions predict purchases better over shorter timeframes, supporting time-specific survey questions (Morwitz et al., 2007).

3. Product Feature Prioritization Survey

Sample questions

1. Which three of these features would be most valuable to you?

Response format: Select up to three from a clearly defined feature list.

1. Which one of those features is most important to you?

Response format: Single choice from your selections.

1. How often would you expect to use [feature]?

Response format: Frequency scale with “Never” and “Not sure.”

1. Which feature, if any, would you consider essential before purchasing this product?

Response format: Single choice with “None of these.”

1. What important capability is missing from this list?

Response format: Open-ended.

Keep feature descriptions short and plain so your product sample survey tests priorities, not your audience’s ability to decode jargon.

Limiting selections reveals meaningful trade-offs better than letting respondents rate every feature “important.” Otherwise, your wish list can become an everything bagel.

Plus, randomize unordered feature lists to reduce position bias, where placement influences selections.

Compare product sample survey results by customer segment so overall averages don’t hide different needs.

Why & When to Use

• Use this product sample survey when planning your initial release or deciding what to improve next.

• Weigh preferences alongside development effort, strategic fit, and observed usage before choosing which features to build.

4. New Product Pricing and Value Survey

Sample questions

1. At what price would this product seem so inexpensive that you would question its quality?

Response format: Numeric amount in a specified currency.

1. At what price would this product seem like good value for the money?

Response format: Numeric amount.

1. At what price would this product start to feel expensive, but still be worth considering?

Response format: Numeric amount.

1. At what price would this product be too expensive for you to consider?

Response format: Numeric amount.

Before asking, specify the product version, quantity, billing period, included benefits, and currency so everyone evaluates the same offer.

Recruit respondents familiar enough with your category to make meaningful judgments, rather than asking them to play pricing darts.

Here’s the thing: these product sample survey questions reveal perceived price sensitivity, not actual willingness to pay.

Use your product sample survey results to inform pricing, not automatically determine it.

Plus, validate candidate prices through a separate price-specific purchase-intent test or real purchasing behavior.

Why & When to Use

• Use this product sample survey once respondents understand your product’s value and offer details.

• Your answers help identify perceived price boundaries and guide further pricing experiments, rather than declare one “perfect” price.

A 2016 study found Van Westendorp pricing questions yielded biased estimates, despite closely matching incentive-aligned willingness-to-pay measurements for one low-priced product. Source

5. Product Sample Survey and Prototype Feedback Questions

Sample questions

1. Which of the following tasks did you attempt while testing [product]?

Response format: Multiple selection with “None of these.”

1. How easy or difficult was it to complete [specific task]?

Response format: Five-point difficulty scale; ask only respondents who attempted the task.

1. How would you rate [specific attribute, such as taste, durability, or setup experience]?

Response format: Five-point quality scale; evaluate one attribute per question.

1. What problem, if any, did you encounter while using the product?

Response format: Open-ended.

1. What is the single most important improvement you would suggest?

Response format: Open-ended.

A product sample survey gathers feedback from actual use after someone tries your sample, prototype, or beta version.

Set a defined testing period and clear expectations for use, so respondents know what to try and for how long.

Tailor attributes to your category rather than combining unrelated qualities: your toaster probably doesn’t need a taste rating.

When analyzing your product sample survey, separate usability problems, defects, and preference-based suggestions.

Plus, remember that receiving a free sample can influence perceptions of value.

Why & When to Use

• Use a product sample survey before launch to uncover practical issues that concept surveys cannot reveal.

• Use feedback to prioritize fixes, refine instructions, and assess readiness for release.

6. Post-Launch Product Satisfaction and Improvement Survey

Sample questions

1. How often have you used [product] in the past 30 days?

Response format: Frequency options with “I haven’t used it.”

1. Overall, how satisfied are you with [product]?

Response format: Five-point satisfaction scale.

1. To what extent has [product] helped you achieve [intended outcome]?

Response format: Five-point scale; include “Too early to tell” and “Not applicable.”

1. What is the main reason you haven’t used the product more often?

Response format: Ask low-use respondents; include relevant choices and “Other.”

1. What one change would most improve your experience?

Response format: Open-ended.

Send your post-launch product sample survey after customers have had enough time to experience the product, not before they’ve opened the box.

Keep satisfaction separate from behavior and outcomes: liking your product doesn’t necessarily mean using it, sticking with it, or achieving a goal.

Plus, compare product sample survey feedback across new users, frequent users, and inactive customers to uncover different needs.

Don’t treat silence or low participation as proof of satisfaction; quiet inboxes don’t award gold stars.

Why & When to Use

• Use a product sample survey after launch to diagnose adoption barriers and prioritize ongoing improvements.

• Pair responses with usage data, support requests, returns, and repeat purchases to understand both customer opinions and actions.

7. Best Practices for Writing New Product Survey Questions

Sample questions

1. How easy or difficult was [product] to use?

Response format: Balanced five-point scale, plus “I haven’t used it.”

1. How affordable or unaffordable is [product] at [price]?

Response format: Balanced five-point scale, plus “Not sure.”

Your product sample survey should collect honest feedback, not polite applause. Give people room to disagree.

Dos

• Define one primary research objective before choosing questions.

• Recruit people who match your intended customer profile.

• Ask one clear, neutrally worded question at a time.

• Use balanced response scales with consistent labels.

• Include “None,” “Not applicable,” or “Not sure” where appropriate.

• Keep your product sample survey focused; pilot-test completion time.

• Ask broad questions before details that could influence answers.

• Explain how you’ll use feedback and handle personal information responsibly.

Don’ts

• Don’t lead with “How much do you love our innovative product?”

• Don’t combine attributes; ask about affordability and ease separately.

• Don’t require answers beyond someone’s experience.

• Don’t signal preferred answers through wording or options.

• Don’t recruit only friends, employees, or existing fans.

• Don’t treat stated purchase intent as guaranteed sales.

• Don’t claim market-wide results without considering recruitment and sample limitations.

Why & When to Use

• Use these checks before sending any product sample survey.

• Plus, revisit them during your pilot to catch confusing wording before wider distribution.

8. Turn New Product Survey Insights Into Action

Sample questions

1. What need, if any, did this product leave unmet?

2. What difficulties, if any, did you experience while using the product?

3. What would most influence your decision to buy this product at [price]?

Your product sample survey becomes useful when you turn feedback into clear, testable next steps. A spreadsheet full of opinions is not quite a product strategy, even with impressive color coding.

Here’s a practical workflow:

• Organize responses by question and report counts alongside percentages, especially with small samples: “6 of 10 respondents, or 60%.”

• Compare relevant customer segments, such as first-time users and experienced buyers, while noting each group’s size.

• Group open-ended feedback into recurring themes: unmet needs, usability issues, price concerns, and missing features.

• Connect findings to decisions: refine the concept, change messaging, test a price, fix a product issue, or revise the roadmap.

• Prioritize changes by customer impact, supporting evidence, and implementation effort.

• Assign each selected action an owner, a success metric, and a review date.

Why & When to Use

Use this workflow after your product sample survey closes and before you commit resources.

Plus, adapt the example questions, run a focused product sample survey, and validate your decisions through follow-up research or observed customer behavior.

Turning Survey Insights Into Product Decisions

Sample questions

1. Which feedback should lead to immediate product changes?

2. What customer objections need clearer messaging or education?

3. Which segments are most promising for launch targeting?

4. What should be tested next based on the survey results?

5. How will you measure whether changes based on survey feedback improved outcomes?

Good surveys earn their keep through decisions

Why & When to Use

Use this final step when you are ready to stop admiring the survey and actually do something with it.

Here’s the thing, survey results are not the finish line. They are fuel for product changes, sharper positioning, smarter launch plans, and better follow-up research.

This section works best when you need to decide what to fix now, what to schedule later, and what to test before launch.

A simple way to act on results is to build an action list based on three filters:

• Severity of the problem

• Frequency across responses

• Business impact if you solve it

Plus, separate quick fixes from larger roadmap items so your team can move fast without pretending every idea needs a six-month epic.

Use the findings to improve more than just the product itself.

• Refine your messaging where objections come from confusion, not lack of interest

• Adjust pricing if value perception keeps wobbling

• Prioritize features that appear often and connect to buying intent

• Tighten your go-to-market plan around the segments showing the strongest pull

On top of that, decide what to test next, then measure whether the changes improve conversion, satisfaction, or adoption.

And yes, re-survey after updates, because guessing twice is still guessing, just with more confidence.