Market Sizing & Category Spend Survey
Estimates the total addressable spend, current usage, and switching potential for a product or service category — combining budget allocation, price-sensitivity, and prioritization questions with an AI follow-up that reconstructs the real trigger events and decision-makers behind category spend, not just stated intent.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which statement best describes your organization's current relationship with (Replace with category, e.g., 'cloud-based expense management software')? (Template note: replace category name throughout before launching.)
- Currently use it
- Used it in the past but stopped
- Actively evaluating options now
- Aware of it, not currently evaluating
- Not aware of it until this survey
Approximately how much did your organization spend in total on this category in the last 12 months (in your local currency)? Enter your best estimate.
Thinking about that total spend, how is it split across the following approaches? Distribute 100 points based on share of spend.
- In-house or manual process
- (Competitor A)
- (Competitor B)
- Our category of solution
- Other tools or vendors
Now imagine a solution in this category with the features you consider essential.
- At what price would this solution be so cheap you'd question its quality?
- At what price would this solution be a bargain — a great deal for the price?
- At what price would this solution start to seem expensive, though you'd still consider it?
- At what price would this solution be too expensive to consider at all?
Which of the following did you seriously consider or evaluate in the last 12 months? Select all that apply.
- (Competitor A)
- (Competitor B)
- (Competitor C)
- Building it in-house
- None — only considered one option
How likely is your organization to increase its spending in this category over the next 12 months?
When choosing a solution in this category, which factors matter most and least to your decision?
- Upfront price
- Ease of implementation
- Feature completeness
- Integration with existing tools
- Vendor reputation and stability
- Quality of customer support
- Contract flexibility
Reconstruct the real decision process behind this organization's category spend: what event or pain point triggered their last purchase or evaluation, who holds the budget, and what would need to happen for them to expand spend or switch vendors in the next year. If they said they are 'not aware' of the category, probe what problem they currently use to solve the same need instead.
What is the single biggest barrier stopping you from spending more in this category right now?
What is the approximate size of your organization (by employee count)?
- 1-10
- 11-50
- 51-200
- 201-1,000
- 1,001-5,000
- 5,000+
- Prefer not to say
Which industry best describes your organization?
- Technology / Software
- Financial Services
- Healthcare
- Retail / E-commerce
- Manufacturing
- Professional Services
- Education
- Government / Public Sector
- Other
- Prefer not to say
That's everything — thank you! Your responses will be combined with others to estimate category spend and sizing, helping guide product and pricing decisions.
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
- Combines hard budget-allocation data (constant sum across spend categories) with price-sensitivity (Van Westendorp) and prioritization (MaxDiff) in a single instrument, rather than a single question type.
- Includes an AI follow-up interview specifically designed to reconstruct the real trigger events and decision-makers behind category spend — going beyond stated intent to actual causal drivers.
- Captures both quantitative sizing (total spend, split by approach, likelihood to increase) and qualitative barriers (open-ended biggest-barrier question) in the same flow.
- Automated per-response quality scoring and an auto-generated report mean the market-sizing data is analysis-ready rather than requiring manual coding of open-ends.
Jotform
Market Sizing TemplateA static form template for collecting market-sizing inputs, built on Jotform's general-purpose form builder. It's fielding-ready as a basic data-collection form but doesn't appear to include structured pricing or prioritization methodologies like Van Westendorp or MaxDiff. No mention of adaptive follow-up or automated scoring.
잘하는 점
- Easy to customize and embed via Jotform's drag-and-drop builder
- Broad integration ecosystem (payments, CRMs, notifications)
- Low barrier to quickly spin up a basic sizing form
아쉬운 점
- No adaptive AI follow-up questioning — respondents can't be probed further on vague or interesting answers
- No visible price-sensitivity (Van Westendorp) or trade-off (MaxDiff) question types built into the template
- No automated per-response quality scoring or AI-generated analysis report
SurveyMonkey
Market Sizing Survey Template & QuestionsA prewritten question set aimed at market-sizing research, backed by SurveyMonkey's established survey infrastructure and analytics. It's a static questionnaire — respondents answer fixed questions with no dynamic probing, and there's no indication of built-in conjoint-style or price-sensitivity question types in the template itself.
잘하는 점
- Backed by a mature survey platform with strong panel/distribution options
- Built-in reporting and cross-tab analysis tools
- Large template library for benchmarking against other survey types
아쉬운 점
- No adaptive AI interview to dig into the real decision-makers or trigger events behind spend
- No transparent, inspectable AI prompt methodology since there's no AI questioning layer at all
- Static question flow — can't reconstruct causal narratives, only capture stated answers
SurveySparrow
Market Sizing Survey Template | Identify Growth OpportunitiesA conversational-style survey template for market sizing, leveraging SurveySparrow's chat-like UI. It presents questions in a friendlier format than a traditional form, but this is a fixed question sequence, not an AI-driven interview that adapts based on responses.
잘하는 점
- Conversational, chat-like question presentation improves completion rates
- Mobile-friendly and reasonably quick to deploy
- Part of a broader CX survey suite with automation and workflows
아쉬운 점
- Conversational UI is not the same as adaptive AI probing — the question path doesn't change based on individual answers
- No voice AI interview option or guided screen-share tasks
- No automated quality scoring of open-ended responses
Typeform
Market Sizing TemplateA one-question-at-a-time template well suited to a clean respondent experience, consistent with Typeform's design strengths. It's a static, pre-built question flow rather than an AI-moderated interview, and there's no evidence of price-sensitivity or trade-off analysis question types included.
잘하는 점
- Polished, on-brand respondent experience with strong completion rates
- Simple logic-jump branching for basic personalization
- Easy embedding and sharing across channels
아쉬운 점
- Logic jumps are rule-based branching, not true AI-generated adaptive follow-up questions
- No AI interview layer to reconstruct real decision processes or trigger events behind spend
- No published methodology for how any 'smart' logic is applied, and no automated quality scoring
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