Product Naming Tests
Product Naming Tests产品命名测试
Use Product Naming Tests to compare candidate product names, brand names, and feature names for clarity, memorability, category fit, emotional response, differentiation, and launch risk.
Bring evidence that gives the simulation a real boundary.
The best runs start with enough context for MiroFish to separate the decision, the actors, and the constraints.
Decision brief
Use the decision, memo, launch note, policy draft, pricing change, or scenario summary behind Product Naming Tests.
Evidence notes
Add interviews, reports, support notes, competitor claims, public posts, or other context the actors should react to.
Constraint context
Include timing, audience, incentives, limits, and assumptions that should shape the simulated response.
See where the response starts to move.
Clarity signal appears
Watch how name candidates respond when this signal appears, then inspect whether the path needs more evidence.
Association risk surfaces
Watch how target buyers respond when this signal appears, then inspect whether the path needs more evidence.
Preferred name separates
Watch how category alternatives respond when this signal appears, then inspect whether the path needs more evidence.
Turn a market question into a simulated response path.
Each use case page should show how MiroFish moves from seed material to actors, reactions, report structure, and follow-up questions.
Frame the question
Define the name candidate set so the simulation starts with a concrete job.
Map actors and incentives
Turn source material into actors, constraints, relationships, and the assumptions worth reviewing.
Run reaction rounds
Let name candidates, target buyers, category alternatives move through multiple rounds instead of compressing the answer into one guess.
Read the next test
Use the report to find pressure signals, weak evidence, and the follow-up question that should be tested next.
The report makes pressure points visible.
Visitors should understand what they will inspect before they open the full MiroFish workspace.
Name scorecard
- First pressure signal
- Actor movement
- Assumptions to review
Association risks
- Reaction path
- Objection cluster
- Confidence boundary
Naming next steps
- Evidence to collect
- Message to test
- Follow-up prompt
What the report should answer
How to read the result.
- Which product naming tests pressure signal appears first
- Which actors amplify or redirect the path
- Which assumption should be challenged before acting
- Which follow-up question should be tested next
What it does not promise
Paths are not certainty.
- Guaranteed revenue, vote share, scoreline, adoption, or public reaction
- A substitute for customer research, field data, or accountable judgment
- Live context unless you provide current source material
- A final decision without reviewing the evidence boundary
MiroFish gives the answer a shape you can inspect.
A normal chat answer can be useful, but this workflow makes the actors, reaction rounds, and assumptions easier to challenge.
Chatbot
One compressed answer
MiroFish
Actor graph and constraints
Chatbot
Advice summary
MiroFish
Multi-round paths
Chatbot
Hard to inspect after the answer
MiroFish
Report, assumptions, and follow-up questions
Compare this use case with nearby simulation paths.
MiroFish works best when the page matches the decision you need to rehearse. Use these related paths when the scenario overlaps with another actor model, planning method, or pressure surface.
Run this use case in MiroFish.
Questions before the simulation
What are Product Naming Tests for?+
They help product, brand, founder, and marketing teams compare candidate product names, brand names, feature names, or service names before a launch or rebrand decision hardens.
Can teams use Product Naming Tests for brand name testing?+
Yes. The same workflow can compare brand name options, product names, feature names, and service names against the audience, category, competitor set, tone goals, and association risks that matter for the naming decision.
How are Product Naming Tests different from AI Positioning Testing?+
Product Naming Tests focus on whether a name is clear, memorable, relevant, distinct, pronounceable, and emotionally safe. AI Positioning Testing focuses on the broader value proposition, category frame, differentiation, audience fit, and proof.
How are Product Naming Tests different from AI Product Validation?+
AI Product Validation tests whether a product concept, problem, benefit, or MVP direction is worth pursuing. Product Naming Tests assume a naming decision is needed and compare the names that may carry that product into market.
Do Product Naming Tests replace trademark review?+
No. Treat the report as naming research and launch-risk preparation. Trademark clearance, domain checks, legal review, localization, and real customer research still need accountable review before a final name is chosen.
What inputs work best for product naming tests?+
Use a shortlist of candidate names, product description, target segment, category alternatives, positioning statement, tone goals, competitor names, naming criteria, and any legal or localization constraints.