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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
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?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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.
What it does well
- 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
Where it falls short
- 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.
What it does well
- 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
Where it falls short
- 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.
What it does well
- Conversational survey format may improve respondent engagement
- Fielding-ready template usable out of the box
- Part of a platform with broader survey distribution tools
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.