Stop guessing your product names

Turn naming into a repeatable AI-powered workshop: clarity, memorability, and SEO tested before launch.

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Wednesday Deep Dive

(Reading Time: 4 minutes)

The Wednesday Deep Dive takes a detailed look at what's new in AI. Each week, we share in-depth insights on tools, proven prompts, and practical workflows that help tech professionals work smarter and stay ahead.

This week’s challenge: Naming new product features that customers instantly understand and remember.

Every product launch hits this wall. The feature is ready, the value is clear, but the name feels off. Too technical and it sounds cold. Too clever and it confuses users. The wrong name can bury a great feature before it ever gets traction.

This week’s prompt helps teams run an AI-assisted naming workshop that blends creativity with data. You’ll generate, test, and score names based on clarity, memorability, and SEO strength, without endless brainstorming meetings.

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Set the Stage

Product naming hits three different challenges at once:

Internal alignment. Engineering wants functional names. Marketing wants memorable ones. Leadership wants names that sound strategic.

Market clarity. Your feature might be groundbreaking, but if users can't guess what it does from the name, adoption suffers.

SEO competition. Great names get searched. But if you're competing against established terms, discoverability becomes harder.

AI-powered naming workshops solve this by generating options systematically, then scoring them against real criteria:

Clarity: Does the name explain the function?
Memorability: Will users remember and repeat it?
Brand fit: Does it align with your company's voice?
Market positioning: How competitive is the search landscape?

Instead of picking names based on what "feels right," you're choosing based on data.

 

Here’s the Prompt to Get Started

Generate and Score Feature Names for Market Fit

<prompt> 

<role> You are a product marketing specialist designing a feature naming workshop for a SaaS product team. </role>

<task> Using the following inputs: - Feature description and core functionality - Target user segment and their typical language patterns - Company brand voice and existing product naming conventions - Competitive landscape and SEO considerations

Generate:

12+ name variations across different naming styles (functional, metaphorical, branded, technical)

Scoring framework rating each name on clarity (1-10), memorability (1-10), and brand alignment (1-10)

SEO competitiveness analysis for top candidates using Google Trends or keyword tools

A/B test recommendations for final validation

</task>

<context> The goal is systematic name evaluation, not just brainstorming. Include rationale for scores and specific next steps for testing. </context> 

</prompt>

What This Prompt Can Deliver

Input Provided:

  • Feature: AI-powered notification system that learns user preferences and reduces alert fatigue

  • Target Users: Product managers and engineers at SaaS companies

  • Brand Voice: Professional but approachable, tech-forward

  • Competition: Slack, Microsoft Teams, Asana notifications

Output Given:

Style

Name

Clarity

Memorability

Brand

Total

Functional

Smart Alerts

9

6

7

22

Functional

Adaptive Notifications

8

5

8

21

Functional

Priority Filter

7

7

6

20

Metaphorical

Noise Guard

6

8

7

21

Metaphorical

Signal Boost

5

9

8

22

Metaphorical

Focus Mode

8

7

8

23

Branded

IntelliPing

6

8

9

23

Branded

StreamSense

5

7

9

21

Branded

FlowFocus

7

8

8

23

Top Candidates:

  1. Focus Mode - Total Score: 23/30

  2. IntelliPing - Total Score: 23/30

  3. FlowFocus - Total Score: 23/30

SEO Analysis: Run Google Trends analysis for search volume and competition levels. Test branded options like "FlowFocus" for unique positioning opportunities.

A/B Test Recommendation: Test "Focus Mode" vs. "FlowFocus" in email subject lines and feature announcement copy. Measure click-through rates (target: >15% CTR difference) and user comprehension via follow-up surveys with 200+ respondents over 7 days.

Additional Prompt: Validate Names with Real Users

Once you have candidates, test them systematically before launch.

<prompt> 

<role> You are a UX researcher designing a feature name validation study. </role>

<task> Using these inputs: - 3-5 finalist feature names from initial scoring - Target user personas and their typical workflows - Key messaging points the name should communicate

Generate:

Survey questions that test name comprehension without bias

A/B email test variations using each name in context

User interview script to explore name associations and clarity

Success criteria for choosing the final name

</task>

<context> Focus on unbiased testing that reveals genuine user understanding, not just preference. Include both quantitative and qualitative validation methods. </context> 
</prompt>

What This Prompt Can Deliver

Survey Questions:

  • "Based on this feature name, what do you think this tool does?" (open response)

  • "How likely would you be to click on a feature called '[Name]'?" (1-10 scale)

  • "Which of these names best describes a tool that reduces notification overload?" (multiple choice)

A/B Email Test:

  • Subject Line A: "Introducing Focus Mode: Smarter notifications for your team"

  • Subject Line B: "Introducing FlowFocus: AI-powered alert management"

  • Subject Line C: "Introducing IntelliPing: Notifications that learn your preferences"

Interview Script:

  • "When you hear '[feature name]', what comes to mind?"

  • "If you were explaining this feature to a colleague, what would you call it?"

  • "What questions would you have about a feature with this name?"

Success Criteria:

  • 70%+ correctly guess core functionality from name alone

  • 80%+ find the name clear and professional

  • Chosen name scores highest on unprompted recall after 24 hours

Tools to make it happen

Several platforms can streamline this process:

  • ChatGPT: Core prompt engine for name generation and scoring

  • Namelix: AI-powered business name generator with logo concepts

  • Google Trends: Search volume and competition analysis for name candidates

  • Typeform: Quick surveys to test name comprehension with real users

Why this works

Feature names are first impressions. They shape how users think about your product before they even try it.

With AI-powered naming workshops, you can:

Generate diverse options systematically
Score names against objective criteria
Test with real users before committing
Build a naming process your whole team can repeat

Run the included prompt with your feature brief and test the top two names with a 100-user Typeform survey.

Did you find this AI prompt scenario helpful?

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