Q01
Message
All templates
New Service Concept Test & Purchase Intent Survey
Tests reaction to a new service concept before launch — clarity, uniqueness, price sensitivity, purchase intent, and adoption barriers — with an AI follow-up that digs into why respondents would or wouldn't buy. Built for product and innovation teams validating a concept ahead of investment.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Text HighlightRequired
Read the concept below, then highlight any words or phrases that stand out to you — whether because they excite you, confuse you, or make you skeptical.
(Replace with your new service concept description, including its core benefit, how it works, and its price point.) (Template note: replace with your own concept description before launching.)
Q03
Opinion ScaleRequired
Based on what you just read, how likely are you to purchase or sign up for this service if it were available today?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q04
MatrixRequired
How much do you agree with each statement about this concept?
5 rows × 5 columns
- This is different from anything else I currently use
- It's easy to understand what this service does
- This would solve a real problem for me
- The idea feels believable and realistic
- I trust the brand to deliver on this
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Price Sensitivity (Van Westendorp)Required
Thinking about a monthly or one-time price for this service, please answer honestly based on what you'd actually pay.
- At what price would this service be so cheap that you'd question its quality?
- At what price would this service be a bargain — a great deal for the value?
- At what price would this service start to feel expensive, though you'd still consider it?
- At what price would this service be so expensive you would not consider it at all?
Q06
Best–Worst Trade-off (MaxDiff)Required
From the list below, which benefit of this service matters most to you, and which matters least?
- (Replace with benefit A, e.g., saves time)
- (Replace with benefit B, e.g., lower cost than alternatives)
- (Replace with benefit C, e.g., more personalized)
- (Replace with benefit D, e.g., easier to use)
- (Replace with benefit E, e.g., more reliable/consistent)
- (Replace with benefit F, e.g., better customer support)
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Multiple ChoiceRequired
What's the biggest thing that would stop you from signing up for this service?
- Price is too high
- I don't see how it's different from what I already use
- I'm not sure it would actually work for me
- I don't trust a new service like this yet
- I don't have a need for it right now
- Nothing — I'd sign up
Q08
Multiple ChoiceRequired
If this launched, how would it most likely fit into what you do today?
- I'd replace my current solution with this
- I'd use this alongside what I already use
- I'd try it but probably wouldn't stick with it
- I wouldn't use it at all
Q09
AI Interview
Probe the reasoning behind the respondent's purchase-intent rating and stated barrier, anchoring on the specific concept described in this survey. If they rated intent low or picked a barrier, ask what single change to the concept, price, or messaging would move them to 'yes'; if they rated it high, ask what would make them hesitate or delay signing up. Get a concrete, specific answer rather than a general impression.
Q10
Multiple Choice
Which age range are you in?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q11
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
Multiple Choice
What is your household income range?
- Under $25,000
- $25,000-$49,999
- $50,000-$74,999
- $75,000-$99,999
- $100,000-$149,999
- $150,000 or more
- Prefer not to say
Q13
Message
That's everything — thank you for taking a look! Your reactions, pricing input, and the follow-up conversation will directly inform whether and how we bring this service to market.
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
- Uses an AI follow-up interview that automatically probes why each respondent gave their purchase-intent rating and named a specific adoption barrier, rather than leaving that reasoning as an unanalyzed open-text box
- Combines a text-highlight exercise on the concept description with Van Westendorp pricing and a MaxDiff benefit trade-off in one flow, so clarity, price sensitivity, and feature prioritization are all captured before purchase intent is asked
- Pairs a purchase-intent opinion scale and an agreement matrix with automated per-response quality scoring, so low-effort or contradictory answers can be flagged before they reach the report
- Ends with an auto-generated report summarizing concept reaction, pricing input, and stated barriers, alongside standard demographic breaks (age, gender, household income)
QuestionPro
New Services Concept Test Survey TemplateA fielding-ready template on a mature enterprise survey platform, covering concept reaction and purchase intent with standard question types. It benefits from QuestionPro's broader logic, panel, and reporting infrastructure, but the template itself is a static questionnaire rather than an interview experience.
What it does well
- Backed by an established enterprise survey platform with wide question-type and logic support
- Likely integrates with QuestionPro's panel and reporting tools for larger-scale fielding
Where it falls short
- No adaptive AI follow-up questioning — respondents answer fixed questions with no automated probing into their reasoning
- No indication of per-response quality scoring or transparent AI prompt methodology
Jotform
Concept Testing Survey Form TemplateA drag-and-drop form template aimed at quick customization and deployment, well suited to teams that want a simple, editable form rather than a research-grade instrument. It's a static form template, not an interactive interview or analysis tool.
What it does well
- Easy drag-and-drop customization typical of Jotform's form builder
- Quick to deploy and embed for teams already using Jotform
Where it falls short
- No adaptive follow-up interviewing — it's a fixed-field form with no capability to dig into individual answers
- No built-in response quality scoring or automated analysis/report generation for concept-test data
SurveySparrow
Sample Concept Testing Survey TemplateA conversational-style survey template from a platform known for chat-like UX, giving concept-testing questions a friendlier feel than a traditional form. It remains a pre-set template of fixed questions rather than a dynamic, question-by-question interview.
What it does well
- Conversational, chat-style question flow that may feel more engaging than a static form
- Part of a platform with broader survey distribution and dashboard features
Where it falls short
- Conversational UI is scripted, not adaptive — it cannot generate follow-up questions based on a respondent's specific purchase-intent reasoning
- No published per-response quality scoring or transparent AI methodology
Typeform
Product Concept Testing Survey TemplateA polished, design-forward template from a platform well known for one-question-at-a-time forms, good for a smooth respondent experience. Like the others, it's a fixed template of pre-written questions with no adaptive interviewing layer.
What it does well
- Clean, one-question-at-a-time design that's easy for respondents to complete
- Strong template customization and branching logic within Typeform's ecosystem
Where it falls short
- No AI-driven adaptive follow-up — branching logic is manually configured, not dynamically generated from open-ended reasoning
- No automated report or quality-scoring layer specific to concept-test responses
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.