Product & Feature Name Preference Evaluation
Evaluate candidate product or feature names on clarity, appeal, and distinctiveness to identify the strongest option. Designed for product and UX teams conducting comparative name testing with target users.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
You will be evaluating the following four names. Please read each one carefully before proceeding: • Name A • Name B • Name C • Name D Focus on what each name communicates on its own, based only on your first impression.
How clear is the meaning of "Name A" on its own?
How appealing does "Name A" sound to you?
Which of these names, if any, feel too similar to one another? Select all that apply.
- Name A
- Name B
- Name C
- Name D
- None of these
What made your top-ranked name stand out from the others?
What is your age?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your time — your feedback will help us choose the best name!
Based on your first impression, rank these names from most preferred to least preferred.
- Name A
- Name B
- Name C
- Name D
How clear is the meaning of "Name B" on its own?
How appealing does "Name B" sound to you?
If any name felt unclear, which one was the most unclear?
- None of these
- Name A
- Name B
- Name C
- Name D
We'd like to explore your reactions to these names in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier answers.
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
How clear is the meaning of "Name C" on its own?
How appealing does "Name C" sound to you?
Thinking about all four names together, which qualities do they collectively convey? Select up to three.
- Modern
- Trustworthy
- Fun
- Powerful
- Simple
- Premium
- Technical
- Friendly
- Innovative
- Serious
Based on your responses in this survey, is there anything else you would like to share about these names?
In which country or region do you currently live?
- United States
- United Kingdom
- Canada
- Australia
- Germany
- France
- India
- Brazil
- Japan
- Mexico
- Other
How clear is the meaning of "Name D" on its own?
How appealing does "Name D" sound to you?
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 adaptive AI follow-up interviews that probe why a name stood out or felt unclear, going beyond static rating scales
- Combines quantitative measures (clarity and appeal ratings for each of the four names, plus a preference ranking) with qualitative depth (open-text and AI-driven follow-up)
- Directly targets name-testing structure: side-by-side comparison, similarity/confusion checks, and a dedicated 'most unclear' question rather than generic product feedback
- Auto-generates a report from responses, and demographic questions (age, gender, region) let teams segment naming preference by audience
SurveyMonkey
Product Feature Survey TemplateA general-purpose template for gathering feedback on product features rather than a dedicated name-comparison instrument. Useful as a fielding-ready starting point but not structured around ranking or rating multiple candidate names side by side. Best suited for broad feature feedback rather than clarity/appeal/distinctiveness testing.
잘하는 점
- Established, easy-to-deploy survey platform with broad template library
- Fielding-ready template that teams can launch quickly
- Familiar UI likely lowers respondent drop-off
아쉬운 점
- No adaptive AI interviewing or follow-up probing on individual answers
- Not built specifically for comparing multiple candidate names on clarity, appeal, and distinctiveness
- No published methodology or prompt transparency for how questions were designed
QuestionPro
Product Evaluation Survey Template and Sample QuestionnaireA broader product evaluation questionnaire covering general satisfaction and feature feedback rather than focused name-preference testing. It offers a sample questionnaire structure, but there's no indication of ranking or paired-comparison mechanics for candidate names. Good as a general evaluation template, less tailored to naming decisions.
잘하는 점
- Sample questionnaire format offers guidance for teams building their own survey
- Established survey platform with broad question-type support
- Positioned for general product evaluation use cases
아쉬운 점
- No adaptive AI-driven follow-up interviews to explore reasoning behind name preferences
- Not structured around multi-name ranking, similarity checks, or clarity-specific scoring
- No transparent prompt or scoring methodology published
SurveySparrow
Product Evaluation Survey TemplateA general product evaluation template aimed at gathering overall satisfaction and feedback, not specifically designed for comparing candidate product or feature names. It can likely be adapted, but lacks purpose-built mechanics like name-ranking or similarity/confusion checks. Suitable for broad product feedback rather than focused naming research.
잘하는 점
- Conversational survey format may improve respondent engagement
- Fielding-ready template usable out of the box
- Part of a platform with broader survey distribution tools
아쉬운 점
- No adaptive AI follow-up interviewing or voice AI interview option
- Not purpose-built for ranking and rating multiple candidate names on clarity/appeal/distinctiveness
- No disclosed prompt-level methodology or automated per-response quality scoring
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.