Pricing Page Clarity & Fairness Evaluation
Measures prospect perceptions of pricing page clarity, perceived value fairness, and decision readiness to identify friction points and conversion barriers on SaaS pricing and packaging pages.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Did you view a pricing or packaging page for our product within the last 24 hours?
- Yes
- No
Approximately how long did you spend reviewing the pricing page before this survey?
- Less than 1 minute
- 1–2 minutes
- 3–5 minutes
- 6–10 minutes
- More than 10 minutes
- I don't remember
How clear was the display of plan names and tier descriptions?
Overall, how fair did the pricing seem for what is offered?
If you had to choose a plan today based on what you saw, which option would you pick?
- Free / Trial
- Starter / Basic
- Standard / Pro
- Business / Team
- Enterprise / Custom
- I would not choose any plan
Based on your responses in this survey, please share any additional thoughts or feelings about the pricing and packaging page.
Which best describes your typical role when purchasing software or services for your organization?
- Primary decision-maker
- Shared decision-maker
- Recommender or influencer
- Researcher only
- No role in purchasing
- Prefer not to say
Thank you for your time and insights — your feedback will directly help us improve the pricing experience!
How clear was the list of features included in each plan?
Which factors most influenced your impression of pricing fairness? Select up to 3.
- Features included at each price
- Total cost at my expected usage
- Transparency about fees and add-ons
- Flexibility to change or cancel
- Competitor price comparisons
- Brand trust or reputation
- Availability of a free trial or free plan
- Support, SLA, and service quality
- Other (please specify)
How confident are you that you could choose the right plan based on the information provided on this page?
We'd like to learn a bit more about your experience with the pricing page. An AI moderator will ask a couple of follow-up questions based on your earlier answers.
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
How clear was the pricing information (e.g., monthly/annual costs, per-seat pricing)?
Rank the following types of information by how important they were to your decision (1 = most important).
- Total monthly or annual cost
- Features included in each plan
- Usage limits and quotas
- Add-ons and extra fees
- Integration availability
- Security and compliance information
- Upgrade or downgrade terms
What is your gender identity?
- Man
- Woman
- Non-binary
- Another gender identity
- Prefer not to say
How clear was the information about add-ons, extra fees, or usage-based charges?
What information, if any, was missing or hard to find on the pricing page? Select all that apply.
- Example scenarios or pricing calculator
- Clear definitions of features
- Detailed add-on or fee breakdown
- Comparison with competitors
- Contract length or renewal terms
- Discount eligibility details
- Migration or cancellation policies
- How pricing scales with usage
- Contact or sales call-to-action clarity
- None — I found everything I needed
- Other (please specify)
Which country or region do you currently live in?
- United States
- Canada
- United Kingdom
- Germany
- France
- Australia
- India
- Brazil
- Japan
- Other (please specify)
- Prefer not to say
What, if anything, was unclear or hard to interpret on the pricing page?
If you could change one thing about the pricing page to help you make a decision, what would it be?
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
- Includes an AI follow-up interview segment that can adaptively probe respondents on what exactly felt unclear or unfair on the pricing page, going beyond fixed-choice answers
- Combines quantitative clarity ratings (plan names, features, cost, add-ons) with structured ranking and multiple-choice questions on missing information, giving both breadth and diagnostic depth
- Captures decision-readiness and confidence-to-choose metrics alongside fairness perception, directly tied to conversion friction rather than generic satisfaction
- Auto-generates a report from responses, reducing manual analysis work compared to raw export-only survey tools
QuestionPro
Concept Evaluation and Pricing Study Survey TemplatesThis is a broader concept-and-pricing research template geared toward evaluating new product/pricing concepts rather than the clarity of an existing pricing page. It reads as a template listing within a larger enterprise research platform rather than a narrowly scoped, ready-to-field UX study. Useful for concept testing but not a direct match for pricing-page usability diagnostics.
잘하는 점
- Backed by a full-featured enterprise survey platform with advanced logic and analytics
- Likely supports large-scale quantitative concept and pricing research
- Part of a broader template library, suggesting easy customization for varied research goals
아쉬운 점
- No adaptive AI-driven follow-up interviewing — questions are fixed once fielded
- No voice AI interview or guided screen-share task capability for observing actual pricing-page navigation
- No transparent prompt methodology or automated per-response quality scoring is publicized
Jotform
Pricing Estimation Survey Form TemplateA straightforward form-builder template focused on estimating what customers would pay, more aligned with pricing/willingness-to-pay research than pricing-page clarity evaluation. It's a static, editable form rather than an adaptive interview instrument. Good for quick deployment but limited in diagnostic depth.
잘하는 점
- Simple, fast-to-deploy drag-and-drop form template
- Easy embedding and integration given Jotform's form ecosystem
- Flexible field customization for basic pricing questions
아쉬운 점
- Static question set with no adaptive AI follow-up probing on unclear pricing elements
- No voice AI interview option or guided screen-share task to observe pricing-page interaction directly
- No built-in automated quality scoring or auto-generated analytical report
SurveySparrow
Product Pricing Survey Template | Price Sensitivity & Market ResearchFocused on price sensitivity and general market research (e.g., Van Westendorp-style pricing questions) rather than diagnosing specific pricing-page clarity or fairness friction points. SurveySparrow's conversational chat-style UI makes it pleasant to complete, but it remains a pre-scripted survey, not an interview. Best suited for pricing strategy research rather than pricing-page UX evaluation.
잘하는 점
- Conversational, chat-like survey format that can improve completion rates
- Established focus on price sensitivity market research methodologies
- Likely offers decent branching logic for a no-code survey tool
아쉬운 점
- No adaptive AI interviewer capable of dynamically probing individual unclear responses
- No voice AI interview or guided screen-share task to capture real-time pricing-page navigation
- No transparent prompt-level methodology or automated per-response quality scoring published
Typeform
Pricing Survey TemplateA generic pricing survey template built on Typeform's well-known conversational one-question-at-a-time interface. It's designed for broad pricing feedback rather than the specific clarity/fairness/decision-readiness diagnostics needed for pricing-page conversion analysis. Good general-purpose starting point but requires heavy customization to match this use case.
잘하는 점
- Polished, easy-to-use conversational form interface with strong completion UX
- Simple to customize question wording and branding
- Wide familiarity among respondents due to Typeform's popularity
아쉬운 점
- No adaptive AI follow-up interviewing — all questions are pre-set regardless of individual answers
- No voice AI interview or guided screen-share capability to observe actual pricing-page review behavior
- No automated quality scoring or auto-generated report synthesizing open-text and rating data
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