모든 템플릿

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.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 15개 · 약 8분
Q01
메시지

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
객관식필수

How would you describe your skin type?

  • Oily
  • Dry
  • Combination
  • Normal
  • Sensitive
  • Not sure
Q03
객관식필수

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
매트릭스필수

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

5개 행 × 5개 열
  • Cleanser
  • Moisturizer
  • Sunscreen
  • Serum or treatment
  • Exfoliant
: Very dissatisfied · Dissatisfied · Neutral · Satisfied · Very satisfied
Q05
의견 척도필수

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

척도: 17
최소:Not confident at all최대:Extremely confident
Q06
평점 척도필수

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

범위: 15
최소:Very dissatisfied최대:Very satisfied
Q07
최선·최악 선택형(MaxDiff)필수

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
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q08
점수 배분

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
100점 배분
Q09
객관식필수

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 인터뷰

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
메시지

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

Q12
객관식

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
객관식

Which gender do you identify with?

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

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
메시지

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.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

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

아쉬운 점

  • 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

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