Pick your intended tone
Choose the tone your product is meant to have — friendly, formal, playful, or calm — as the baseline every context should be measured against.
VOICE-CONSISTENCY SCORE
UX Tone
Enter your intended tone and whether copy in each context matches it, and get a voice-consistency score across onboarding, forms, notifications, and errors.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Rate each copy context
For onboarding, forms, errors, and notifications, judge whether the existing copy fully matches, partly matches, or does not match your intended tone.
Get a voice-consistency score
The match rate across all four contexts becomes your score out of 100, with the specific contexts that drift flagged for a rewrite.
Continue learning: How to define your MVP value proposition · How to design empty states for a new MVP
Frequently asked questions
Does UX Tone generate new copy for the contexts that drift?
No. UX Tone scores voice consistency from the tone-match answers you give — it does not generate replacement copy and does not run a real AI/LLM generation step.
How is UX Tone different from the In-App Microcopy Assistant?
The In-App Microcopy Assistant generates new, ready-to-use copy options for a chosen UI context and tone. UX Tone does the opposite: you enter copy samples you already have across multiple contexts, and it scores how consistently they hold your intended tone, flagging exactly which contexts drift. Use the Microcopy Assistant to write copy; use UX Tone to audit copy you already have.
Why do errors and notifications tend to drift the most?
Error messages are often written by engineers focused on the technical cause, and notifications are frequently templated from a backend system — both bypass the same review that onboarding and marketing copy usually gets, so tone drifts there first.
What if different contexts genuinely need different tones?
A slight register shift is normal — an error should still be calm even in a playful product. This tool measures whether the underlying voice (word choice, formality, warmth) stays recognizable, not whether every sentence is identical in mood.
What should I do with a low consistency score?
Start with the lowest-scoring context and rewrite a handful of representative messages to match your intended tone, then use those as a reference when reviewing the rest of that context's copy.
How We Compare
| Feature | MVPHub | Grammarly | Figma |
|---|---|---|---|
| Voice-consistency score across multiple contexts | Included | Not included | Not included |
| Flags exactly which context drifts from your tone | Included | Limited | Not included |
| Grammar and style checking of individual sentences | Not included | Included | Not included |
| Design where the copy appears visually | Not included | Not included | Included |
Grammarly checks grammar, clarity, and tone within a single piece of text, and Figma is where copy gets placed into the actual screens. UX Tone works at a different level — comparing tone consistency across several different copy contexts at once, which neither tool is built to do.
Related tools
Embed this tool
Add this tool to your site with the canonical iframe below. It remains hosted and maintained by MVPHub.