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Product-Market Fit Assessment (Sean Ellis Method)

Measures product-market fit among active users using the Sean Ellis 'very disappointed' framework, supplemented by usage patterns, competitive alternatives, and qualitative feedback to identify fit signals and improvement priorities.

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질문 19개 · 약 9분
Q01
메시지

Welcome! We're conducting a short survey to understand how well this product fits your needs. Your responses are confidential and will be reported in aggregate only. There are no right or wrong answers — we're interested in your honest opinions. Participation is voluntary and you may stop at any time. The survey takes approximately 9 minutes.

Q02
객관식

In the past 30 days, how often did you use this product?

  • Daily
  • Several times a week
  • Weekly
  • Less than weekly
Q03
객관식

How would you feel if you could no longer use this product?

  • Very disappointed
  • Somewhat disappointed
  • Not disappointed
Q04
장문형

What is the single biggest benefit you get from this product?

Q05
장문형

Based on your responses in this survey, is there anything else you'd like to share about your experience with this product?

Q06
드롭다운

Which of the following best describes your role?

  • Executive / C-level
  • VP / Director
  • Manager
  • Individual contributor
  • Freelancer / Consultant
  • Founder / Owner
  • Other (please specify)
Q07
메시지

Thank you for your time — your responses have been recorded and will help us improve the product. If you have any questions, please contact [support email].

Q08
드롭다운

How long have you been using this product?

  • Less than 1 week
  • 1–4 weeks
  • 1–3 months
  • 3–6 months
  • 6–12 months
  • 1–2 years
  • More than 2 years
Q09
의견 척도

How well does this product address your primary need today?

척도: 1 – 7
최소:Does not address it at all최대:Completely addresses it
Q10
객관식

If this product were no longer available, what would you most likely do instead?

  • Use a competing product
  • Use a manual workaround or spreadsheets
  • Build my own solution or script
  • Outsource or hire someone
  • Go without a solution
  • I'm not sure
  • Other (please specify)
Q11
AI 인터뷰

We'd like to explore a few of your responses in more depth. An AI moderator will ask you 1–2 brief follow-up questions.

Q12
드롭다운

How many people use this product with you?

  • Just me
  • 2–5
  • 6–10
  • 11–25
  • 26–50
  • 51–100
  • 101–250
  • 251+
Q13
객관식

What is the primary thing you use this product for?

  • Tracking work or tasks
  • Communicating with others
  • Analyzing data or insights
  • Creating content or assets
  • Automating workflows or integrations
  • Learning or training
  • Other (please specify)
Q14
의견 척도

How likely are you to recommend this product to someone in a similar role?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q15
장문형

In your opinion, who benefits most from this product? (e.g., a specific role, team, or situation)

Q16
드롭다운

How many employees work at your company?

  • 1
  • 2–10
  • 11–50
  • 51–200
  • 201–500
  • 501–1,000
  • 1,001–5,000
  • 5,001+
Q17
장문형

What is the one thing we could improve to make this product indispensable for you?

Q18
드롭다운

Which industry best describes your company?

  • Software / Technology
  • Professional services
  • Education
  • Healthcare
  • Financial services
  • Retail / eCommerce
  • Manufacturing
  • Nonprofit
  • Government
  • Media / Entertainment
  • Other (please specify)
Q19
드롭다운

In which country or region are you based?

  • United States
  • Canada
  • United Kingdom
  • European Union
  • India
  • Australia / New Zealand
  • Latin America
  • Middle East / Africa
  • Southeast Asia
  • East Asia
  • Other
  • Prefer not to say

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

  • Uses the classic Sean Ellis 'very disappointed' question alongside usage frequency, tenure, and primary use-case questions to establish a clean PMF baseline
  • Adds an AI follow-up interview that adaptively probes open-ended answers (like the biggest benefit and improvement suggestions) instead of leaving them as static unexamined text
  • Captures competitive-alternative behavior ('what would you do instead') plus firmographic and role-based segmentation (company size, industry, region) for slicing PMF signal by segment
  • Closes with automated report generation and transparent, reviewable AI prompts, so teams can see exactly how follow-up questions were generated

SurveySparrow

Product-Market Fit Survey Template

A fielding-ready PMF survey template built around the standard Sean Ellis question set. It's oriented toward SurveySparrow's own conversational form format and distribution tools rather than deep qualitative follow-up. Good as a straightforward, no-frills PMF questionnaire.

잘하는 점

  • Ready-to-use PMF template with the core Sean Ellis question included
  • Conversational form format that may improve completion rates
  • Part of a broader survey/CX platform with distribution and reporting tools

아쉬운 점

  • No adaptive AI interviewing to probe open-ended answers in more depth
  • No option for voice-based interviews or screen-share guided tasks
  • No published methodology for how responses are scored or synthesized into reports

Typeform

Product-Market Fit (PMF) Survey Template

A polished, conversational PMF template covering the Sean Ellis question and related usage items, in Typeform's signature one-question-at-a-time style. It's a static template — well-designed for form completion but not built to dynamically dig into individual respondent answers.

잘하는 점

  • Clean, well-tested conversational UI known for strong completion rates
  • Established PMF question flow based on the Sean Ellis framework
  • Easy integration with Typeform's broader form ecosystem and logic jumps

아쉬운 점

  • Static question flow with no adaptive AI follow-up interview or voice interview option
  • No automated per-response quality scoring
  • No guided screen-share tasks for deeper behavioral observation

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