모든 템플릿
Industry-Specific

Product ROI Discovery & Value Quantification Survey

Captures the hard numbers behind the value customers get from your product — time saved, costs reduced, revenue gained — so you can build a credible ROI calculator or case study. An AI follow-up interview reconstructs exactly how a customer arrived at their biggest reported gain, turning a vague estimate into a defensible number.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to help us understand the real-world value you've gotten from (Replace with product name). Your responses are completely confidential and anonymized. We use this to build honest ROI estimates for other customers — about 6 minutes, and your specific numbers matter more than round ones.

Q02
객관식필수

Which best describes how your team primarily uses (Replace with product name)?

  • To save staff time on a manual process
  • To reduce a direct cost (e.g., vendor spend, tooling)
  • To increase revenue or conversion
  • To reduce risk or errors
  • Other
Q03
숫자필수

Roughly how many hours per week does your team now save compared to before (Replace with product name)? Enter 0 if none.

Q04
숫자

Roughly what is the estimated annual dollar value of costs avoided or reduced because of (Replace with product name)? Enter 0 if none or unsure.

Q05
의견 척도필수

How confident are you in the accuracy of the estimates you just gave?

척도: 15
최소:Rough guess최대:Very confident, based on real data
Q06
점수 배분필수

Thinking about the total value (Replace with product name) delivers, distribute 100 points across these drivers based on how much each contributes.

  • Time savings
  • Direct cost reduction
  • Revenue or conversion growth
  • Risk or error reduction
  • Other
100점 배분
Q07
매트릭스필수

How much has (Replace with product name) changed each of the following since you started using it?

4개 행 × 5개 열
  • Speed of getting work done
  • Quality or accuracy of output
  • Team stress or workload
  • Customer or stakeholder satisfaction
: Much worse · Slightly worse · No change · Slightly better · Much better
Q08
객관식필수

How long did it take before you first noticed a measurable return on your investment in (Replace with product name)?

  • Less than 1 month
  • 1-3 months
  • 4-6 months
  • 7-12 months
  • More than 12 months
  • Not yet
Q09
평점 척도필수

Based on the return you've seen so far, how likely are you to renew or expand your use of (Replace with product name)?

범위: 15
최소:Very unlikely최대:Very likely
Q10
AI 인터뷰

Reconstruct exactly how the respondent arrived at their biggest reported gain (whether hours saved, dollars avoided, or revenue growth): what specifically changed in their workflow, how they'd defend that number if a finance team questioned it, and what has to stay true for the number to hold up over the next year. If they gave a low-confidence estimate, probe what data source would make them more confident, and if they said 'not yet' on payback, probe what's blocking it.

Q11
단문형

In one sentence, how would you describe the value of (Replace with product name) to a colleague deciding whether to adopt it?

Q12
객관식

What is your organization's approximate size?

  • 1-10 employees
  • 11-50 employees
  • 51-200 employees
  • 201-1,000 employees
  • 1,000+ employees
  • Prefer not to say
Q13
객관식

Which best describes your role in evaluating this investment's return?

  • Day-to-day user
  • Team lead or manager
  • Finance or procurement
  • Executive sponsor
  • Other
  • Prefer not to say
Q14
메시지

That's everything — thank you! Your numbers help us build ROI estimates that reflect real customer experience rather than marketing math.

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.

이 템플릿을 선택하는 이유

이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.

차별화 포인트

  • Pairs quantitative numeric and matrix questions on time saved, costs reduced, and revenue gained with an AI follow-up interview that reconstructs exactly how the respondent arrived at their biggest reported gain, turning a vague estimate into a defensible number
  • Includes a confidence rating on the respondent's own estimates plus a constant-sum allocation question, giving you both the raw ROI figures and a sense of how much weight to put on them
  • Captures time-to-value (how long until a measurable return appeared) and renewal/expansion likelihood alongside role and company size, so ROI numbers can be segmented and validated by who is answering
  • Transparent, published prompts mean you can see exactly what the AI follow-up interview asked and why, so the reconstructed ROI story is auditable rather than a black box

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