All templates
Healthcare & Clinical

Skincare Routine & Product Satisfaction Survey

Measures skin type, top concerns, and satisfaction with current skincare products and routines, plus what actually drives purchase decisions. An AI follow-up interview reconstructs any recent skin reaction in detail — what product was involved, what happened, and what the person did next — so findings reflect real experience, not guesswork.

Sample questions

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

15 questions · ~8 min
Q01
Message

Thanks for taking a few minutes to share your skincare experience! This helps us understand what's actually working (or not) in people's routines. Your responses are completely confidential and anonymized. About 8 minutes, and there's no wrong answer.

Q02
Multiple ChoiceRequired

How would you describe your skin type?

  • Oily
  • Dry
  • Combination
  • Normal
  • Sensitive
  • Not sure
Q03
Multiple ChoiceRequired

Which skin concerns have you been dealing with in the last 3 months? Select all that apply.

  • Acne or breakouts
  • Dryness or flaking
  • Redness or irritation
  • Fine lines or wrinkles
  • Dark spots or uneven tone
  • Enlarged pores
  • Sensitivity or reactions to products
  • Other
Q04
MatrixRequired

How satisfied are you with each part of your current skincare routine?

5 rows × 5 columns
  • Cleanser
  • Moisturizer
  • Sunscreen
  • Serum or treatment
  • Exfoliant
Columns: Very dissatisfied · Dissatisfied · Neutral · Satisfied · Very satisfied
Q05
Opinion ScaleRequired

How confident are you that your current routine is actually addressing your top skin concern?

Scale: 17
Min:Not confident at allMax:Extremely confident
Q06
Rating ScaleRequired

Overall, how satisfied are you with the results your current products have given you?

Range: 15
Min:Very dissatisfiedMax:Very satisfied
Q07
Best–Worst Trade-off (MaxDiff)Required

When choosing a new skincare product, which of these factors matter most vs. least to you?

  • Fragrance-free
  • Dermatologist-tested
  • Clean or natural ingredients
  • Affordable price
  • Fast-acting results
  • Suitable for sensitive skin
  • Cruelty-free
  • Free of parabens/sulfates
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
Point Allocation

Roughly how do you split your monthly skincare spending across these categories? Distribute 100 points to reflect your typical spend.

  • Cleansers
  • Moisturizers
  • Sunscreen
  • Serums or treatments
  • Makeup removers
  • Other products
Allocate 100 points
Q09
Multiple ChoiceRequired

In the last 30 days, have you had a reaction (redness, breakout, irritation, etc.) after trying a new skincare product?

  • Yes
  • No
  • Not sure
Q10
AI Interview

If the respondent reported a reaction in the last 30 days, reconstruct exactly what happened: which product or ingredient was involved, the specific symptoms, how quickly the reaction appeared, and what action they took (stopped use, saw a dermatologist, switched products, did nothing). If they reported no reaction or are unsure, pivot to the top skin concern they selected earlier and probe concretely what has failed to work in their current routine and why they believe it hasn't resolved the issue. Always anchor on their own words rather than assuming a cause.

Q11
Message

Just a couple of quick optional background questions, then you're done.

Q12
Multiple Choice

Which age range do you fall into?

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

Which gender do you identify with?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
Multiple Choice

Have you been diagnosed with any of the following skin conditions? Select all that apply.

  • Eczema
  • Psoriasis
  • Rosacea
  • Diagnosed acne
  • None of these
  • Prefer not to say
Q15
Message

Thank you for sharing your skincare experience! Your answers will be combined with others to identify which routine steps and product factors most affect real-world satisfaction and skin reactions.

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 a simple yes/no reaction question with an AI follow-up interview that reconstructs exactly what product was involved, what happened, and what the respondent did next.
  • Combines matrix, opinion-scale, rating, max-diff, and constant-sum questions to capture nuanced satisfaction by routine step and real purchase-decision tradeoffs, not just a single overall rating.
  • Automated per-response quality scoring flags low-effort or inconsistent answers before they reach your report, and prompts used in the AI interview are transparent rather than a black box.
  • Available on a free tier with a $50/mo Business plan for scale — no need to guess at fielding costs, and reports are auto-generated from the structured + open-ended data together.

Jotform

Customized Skincare Routine Form Template

This reads as an intake/customization form for building a personalized routine rather than a research-style satisfaction survey. It's fielding-ready as a form but is oriented toward collecting customer preferences for a business, not measuring satisfaction drivers or reaction incidents in depth. Useful as a drag-and-drop starting point, but not built for research analysis.

What it does well

  • Easy drag-and-drop customization within Jotform's broad form-builder ecosystem
  • Likely integrates with Jotform's wider app/payment/notification integrations
  • Good fit for collecting structured intake info for a skincare business

Where it falls short

  • Static form fields only — no adaptive follow-up questioning based on a respondent's answers
  • No mechanism to reconstruct a specific reaction event in detail
  • No automated per-response quality scoring or auto-generated analytical report

SurveyMonkey

Skin Care Survey & Beauty Product Questions

A fielding-ready, direct competitor covering similar ground: skin type, concerns, and product satisfaction. It benefits from SurveyMonkey's mature distribution and analytics tooling, but the template itself is a fixed question set with no adaptive probing.

What it does well

  • Established survey platform with strong distribution and panel options
  • Built-in analytics dashboard and cross-tab reporting
  • Pre-built question set covering core skincare satisfaction topics

Where it falls short

  • No adaptive AI follow-up to dig into a specific reported reaction — likely a fixed set of closed questions
  • No voice AI interview option or automated per-response quality scoring
  • No public prompt methodology, since it isn't AI-driven

SurveySparrow

Skin Care Product Survey Template

A fielding-ready conversational-style survey template aimed at marketing use cases for skincare products. It offers a chat-like respondent experience, but the flow is pre-scripted rather than adaptive, and it's positioned for marketing insight, not deep behavioral reconstruction.

What it does well

  • Conversational, chat-style UI that can feel more engaging than a standard form
  • Mobile-friendly design suited for quick marketing surveys
  • Positioned specifically for skincare product marketing research

Where it falls short

  • Conversational UI is pre-scripted, not adaptive — it can't dynamically probe a reported skin reaction
  • No automated per-response quality scoring
  • No voice AI interview capability

Typeform

Skincare Quiz Form Template

This is framed as a quiz, which suggests a product-recommendation or lead-gen tool rather than a satisfaction/research survey — worth flagging since it may not map cleanly onto research objectives like measuring satisfaction drivers or reaction incidents. It's fielding-ready for its intended quiz purpose with Typeform's polished UI.

What it does well

  • Polished, on-brand quiz/form design with smooth conditional logic
  • Good for lead-gen or product-matching experiences
  • Easy to embed and customize visually

Where it falls short

  • Built as a quiz for recommendations, not a structured satisfaction/behavior research instrument
  • No adaptive AI interview to reconstruct a specific reaction event in detail
  • No automated per-response quality scoring or auto-generated research report

Frequently asked questions

What questions are in the “Skincare Routine & Product Satisfaction Survey” template?

The template includes 15 ready-to-use questions, starting with: “Thanks for taking a few minutes to share your skincare experience! This helps us understand what's actually working (or…” · “How would you describe your skin type?” · “Which skin concerns have you been dealing with in the last 3 months? Select all that apply.”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 15 questions in about 8 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Related templates

More studies on similar topics.

See all
Healthcare & Clinical

Medical Office Patient Safety Culture Survey (AHRQ-Aligned)

Benchmarks how staff in your medical office perceive teamwork, communication, error reporting, and leadership support for safety, modeled on AHRQ's patient safety culture domains. An AI follow-up interview digs into the most recent near-miss or error staff witnessed and what stopped or helped them report it.

View template
Healthcare & Clinical

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.

View template
Healthcare & Clinical

Product Review & Satisfaction Survey

Captures how satisfied customers are with a product, which attributes matter most, and where the experience falls short — for teams tracking product quality, value, and repurchase intent. An AI follow-up interview digs into the real story behind each score instead of a generic star rating.

View template
Healthcare & Clinical

Esthetician Client Skin Intake & History Survey

A pre-appointment intake for estheticians and skincare studios that captures skin type, concerns, allergies, contraindications, and treatment goals before a first visit — with an AI follow-up that digs into any past reactions or unclear answers so the esthetician walks in fully briefed instead of re-asking basics on the table.

View template
Healthcare & Clinical

Customer Satisfaction & Loyalty Diagnostic Survey

Tracks overall satisfaction, satisfaction with specific product and service attributes, and likelihood to recommend, then prioritizes which fixes matter most with a trade-off ranking. An AI follow-up interview digs into the real story behind each respondent's satisfaction score. Built for product, CX, and support teams running quarterly or post-interaction pulse checks.

View template
Healthcare & Clinical

Post-Purchase Customer Review & Satisfaction Survey

Captures how customers rate their recent purchase or service experience, which specific aspects drove that rating, and whether they'd buy again — with an AI follow-up interview that digs into the real moment behind their score instead of a generic star rating.

View template