Q01
Message
All templates
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
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: 1 – 7
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: 1 – 5
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 TemplateThis 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 QuestionsA 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 TemplateA 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 TemplateThis 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.