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Makeup Product Experience & Purchase Drivers Survey

Measures how well a makeup product performs in real routines — application, wear time, and repurchase intent — plus what actually drives the buy decision. An AI follow-up interview digs into the specific moment a product over- or under-delivered, surfacing details closed questions miss.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

14 questions · ~7 min
Q01
Message

Thanks for sharing your experience with our makeup products! This survey covers how you use them day-to-day and what matters most when you buy. It takes about 6-8 minutes and your honest feedback shapes what we improve next.

Q02
Multiple ChoiceRequired

In the last 30 days, how often have you used this product?

  • Daily
  • A few times a week
  • About once a week
  • A few times a month
  • Once or twice
  • Not used in the last 30 days
Q03
Multiple Choice

What was the main reason you first tried this product?

  • Recommendation from friend or family
  • Social media or influencer content
  • In-store sample or demo
  • Online review or rating
  • Advertisement
  • Replacing a product I ran out of
  • Looking for something new
Q04
MatrixRequired

How would you rate this product on each of the following?

6 rows × 5 columns
  • Ease of application
  • Blendability
  • Long-lasting wear
  • Color/shade match
  • Feel on skin (weight, texture)
  • +1 more
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Opinion ScaleRequired

How likely are you to repurchase this product?

Scale: 0 – 10
Min:Definitely will notMax:Definitely will
Q06
Best–Worst Trade-off (MaxDiff)Required

When choosing a makeup product like this one, which of these matters most to you, and which matters least?

  • Long-lasting wear
  • Natural, skin-like finish
  • Wide shade range
  • Price
  • Clean or non-toxic ingredients
  • Cruelty-free / not tested on animals
  • Packaging and portability
  • Brand reputation
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Rating Scale

How would you rate the shade or color range available for this product?

Range: 1 – 5
Min:Very limitedMax:Excellent range
Q08
Price Sensitivity (Van Westendorp)

Thinking about a full-size version of this product, please answer based on what you'd expect to pay.

  • At what price would this product be so inexpensive that you'd question its quality?
  • At what price would you consider this product a bargain — a great buy for the money?
  • At what price would this product start to seem expensive, so it's not out of the question, but you'd have to think about buying it?
  • At what price would this product be so expensive that you would not consider buying it?
Q09
Multiple ChoiceRequired

Have you ever stopped using this product, even temporarily?

  • No, I've used it consistently
  • Yes, due to skin reaction or discomfort
  • Yes, it stopped performing as well
  • Yes, I found something I liked better
  • Yes, ran out and hadn't repurchased yet
  • Yes, for another reason
Q10
AI Interview

Ask the respondent to walk you through one specific time this product either impressed them or let them down during actual wear (a long day, a photo, a humid day, etc.) — what happened, when they noticed, and what they did about it. If they said repurchase intent was low or they stopped using it, probe exactly what triggered that and what would need to change for them to reconsider. If they mention shade match or skin reaction, get specifics on their skin tone/type and what went wrong.

Q11
Long Text

Is there anything about this product you wish existed but doesn't yet?

Q12
Multiple Choice

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
Multiple Choice

How would you describe your skin type?

  • Oily
  • Dry
  • Combination
  • Normal
  • Sensitive
  • Prefer not to say
Q14
Message

That wraps up the survey — thank you! Your ratings and comments go directly to our product team to guide formula, shade, and packaging improvements.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Goes beyond ratings with an AI follow-up interview that asks respondents to walk through one specific moment the product impressed or disappointed, surfacing detail closed questions miss
  • Combines usage frequency, matrix ratings, repurchase intent, and a MaxDiff on purchase drivers so you see both performance and the 'why' behind the buy decision in one flow
  • Includes a Van Westendorp pricing exercise on the full-size product alongside shade-range rating, giving pricing and assortment signal most makeup templates skip
  • Automated per-response quality scoring and an auto-generated report mean you get a usable summary without manually reading every open-text answer

SurveyMonkey

Makeup Survey Template

A ready-to-field static template covering general makeup usage and preferences. It's built on SurveyMonkey's broad survey infrastructure with strong distribution and analysis tooling, but the questionnaire itself is fixed multiple-choice/rating logic. No mention of adaptive follow-up or interview-style probing.

What it does well

  • Fielding-ready template on an established survey platform
  • Likely benefits from SurveyMonkey's broad panel/distribution and analytics ecosystem
  • Simple to deploy for general makeup feedback

Where it falls short

  • Static question set with no adaptive AI follow-up to probe specific moments of over/under-performance
  • No voice AI interview option
  • No published methodology on how questions were designed or scored

Jotform

Makeup Product Feedback Form Template

A customizable form template geared toward collecting basic makeup product feedback, in line with Jotform's drag-and-drop form builder positioning. It's a feedback form rather than a structured research instrument with driver analysis (like MaxDiff or pricing) built in. No indication of AI-driven follow-up questioning.

What it does well

  • Easy to customize via Jotform's form builder
  • Good for lightweight, quick feedback collection
  • Integrates with Jotform's broader form ecosystem (payments, notifications, etc.)

Where it falls short

  • No adaptive AI interview or voice interview capability to dig into specific product moments
  • Lacks built-in choice-driver or pricing analysis tools like MaxDiff or Van Westendorp
  • No automated quality scoring of open responses

QuestionPro

Product Search and Purchase Survey Template

This is a generic product search-and-purchase template, not a makeup-specific instrument, so it would need substantial customization to match cosmetics use cases like shade range or wear time. It sits on QuestionPro's enterprise survey platform with standard logic and reporting features. No sign of AI-driven interviewing or category-specific question banks.

What it does well

  • Backed by QuestionPro's established enterprise survey platform
  • Flexible enough to adapt to various product categories
  • Standard reporting and cross-tab analysis likely available

Where it falls short

  • Not tailored to makeup-specific attributes (shade range, wear time, application) out of the box
  • No adaptive AI or voice follow-up interviews to explore specific product experiences
  • No transparent, published prompt/methodology layer

SurveySparrow

Free Makeup Survey Template | Questionnaire on Cosmetics

A free, conversational-style makeup survey template aligned with SurveySparrow's chat-like UI branding. It covers general cosmetics questionnaire needs but appears to be a fixed question flow rather than a dynamically branching interview. No purchase-driver ranking (e.g., MaxDiff) or pricing methodology is indicated.

What it does well

  • Conversational, chat-style UI that may feel more engaging than plain forms
  • Free to use as a starting template
  • Positioned specifically for cosmetics/makeup questionnaires

Where it falls short

  • Chat-style UI is scripted, not adaptive AI questioning that follows up based on individual answers
  • No voice AI interview option
  • No built-in pricing sensitivity (Van Westendorp) or purchase-driver max-diff analysis

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