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MaxDiff Feature Prioritization Survey

Force real trade-offs with best-worst scaling: respondents pick the most and least valuable feature in rotating sets, then an AI interviewer probes the reasoning behind their top pick. Produces a true preference ranking instead of everything-is-important rating inflation.

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샘플 질문

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질문 8개 · 약 5분
Q01
메시지

Thanks for helping us decide what to build next! Your responses are completely confidential and anonymized. You'll see short sets of features and pick the one that matters MOST and the one that matters LEAST to you. It takes about 5 minutes, and there are no right answers — we want your honest trade-offs.

Q02
객관식필수

How long have you been using our product?

  • Less than 3 months
  • 3–12 months
  • 1–3 years
  • More than 3 years
  • I don't use it yet
Q03
객관식필수

Which best describes your role when using the product?

  • I use it hands-on every week
  • I use it occasionally
  • I manage people who use it
  • I evaluate or purchase tools like this
Q04
최선·최악 선택형(MaxDiff)필수

From each set, choose the feature that would be MOST valuable to you and the one that would be LEAST valuable.

  • Deeper integrations with the tools you already use
  • Faster performance and load times
  • Advanced analytics and reporting
  • Collaboration and shared workspaces
  • Mobile app experience
  • AI-assisted automation of repetitive steps
  • More granular permissions and admin controls
  • Offline access
세트별 최선·최악 선택최선:Most valuable최악:Least valuable
Q05
의견 척도필수

How satisfied are you with the product as it exists today, before any of these improvements?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q06
AI 인터뷰

Explore why the respondent's most-valued feature matters to them: what job they are trying to get done, what they do today without it, what it costs them in time or workarounds, and what would make the feature a disappointment if built poorly. Also probe whether their least-valued pick is genuinely unimportant or just not relevant to their role.

Q07
장문형

Is there a feature we didn't list that would beat everything you just ranked? If so, what is it and what would it let you do?

Q08
메시지

That's everything — thank you! Your trade-offs go straight into our roadmap prioritization. The AI report will combine everyone's picks into a ranked list with the reasoning behind it.

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

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이 템플릿을 선택하는 이유

  • Best-worst trade-offs arrive with the why: an AI interviewer probes the reasoning behind each respondent's top pick, so the ranking ships with its evidence
  • Usage and role screeners are built in, so preference rankings can be cut by segment without extra setup
  • A final open question asks what would beat everything listed — catching the option your item list missed
  • Every prompt and model setting is visible and logged, and the report assembles ranks plus reasoning automatically

QuestionPro

MaxDiff Surveys

A marketing/overview page positioning MaxDiff as a more discriminating alternative to rating and ranking scales, and cheaper than conjoint. It names concrete outputs (utility scores, share-of-preference) and use cases (new-feature research, market segmentation) but stops short of showing a real sample question set or result visuals, functioning as an intro rather than a ready-to-field template.

잘하는 점

  • Explicitly names the core analytical outputs: utility per attribute and Share of Preference calculation
  • Supports unlimited attributes with random sub-selection and rotation across choice sets
  • Frames MaxDiff correctly against alternatives (better discrimination than derived-importance rating scales; cheaper than conjoint)
  • Ties the method to specific business use cases (new product features, market segmentation)

아쉬운 점

  • No adaptive AI follow-up to ask why a respondent picked an item as best or worst, so the 'why' behind the utilities is never captured
  • No voice-interview option; the method is a silent forced-choice grid only
  • No visible sample question or transparent methodology walkthrough on the page itself; users are pushed to separate help docs
  • No auto-generated narrative report shown; outputs are described as raw utility/share numbers a researcher must interpret

QuestionPro

MaxDiff Analysis survey question

The feature-level page for MaxDiff as a question type, distinct from the survey overview. It includes a worked credit-card preference example, five use cases, and an anchored-MaxDiff option, making it more concrete than the overview page, but it still defers setup mechanics and utility-calculation details to help documentation.

잘하는 점

  • Includes a concrete worked example (credit-card feature preference) so users can see the best/worst task shape
  • Offers anchored MaxDiff, letting scores be interpreted on an absolute good/bad threshold rather than only relatively
  • Enumerates five distinct use cases (consumer testing, real estate, packaging, attribute testing) to guide adoption
  • Rotates answer combinations across respondents to improve data quality and engagement

아쉬운 점

  • No conversational probe on the chosen best/worst item, so motivations behind preferences stay hidden
  • No transparent prompt or methodology exposed in-product; calculation details live in external help files
  • No auto-generated report; the page frames output as data a researcher analyzes downstream
  • No multilingual or voice administration described for the choice tasks

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