| name | brand-voice-development |
| description | Provides brand voice and verbal identity frameworks including Bloomstein's BrandSort, Nielsen Norman Group's Four Dimensions of Tone, Aaker's Brand Personality, the "this but not that" technique, tone adaptation matrices, and voice documentation templates. Auto-activates during brand voice development, verbal identity work, and tone guidelines creation. Use when discussing brand voice, verbal identity, tone of voice, voice guidelines, brand personality traits, BrandSort, message architecture, Margot Bloomstein, Nick Parker, four dimensions of tone, this but not that, or tone matrix. |
Brand Voice Development Framework
Quick reference for developing brand voice and verbal identity using established methodologies from leading voice strategists.
"You have the same voice all the time, but your tone changes. You might use one tone when you're out to dinner with your closest friends, and a different tone when you're in a meeting with your boss." — Mailchimp Content Style Guide
Key Distinction: Voice vs. Tone
| Concept | Definition | Consistency |
|---|---|---|
| Voice | Brand's personality expressed through language | Always consistent |
| Tone | How voice adapts to different contexts | Varies by situation |
Analogy: You have the same voice whether talking to your boss or your friends — but your tone changes.
Core Methodologies
1. Bloomstein's Message Architecture & BrandSort
Created by: Margot Bloomstein
The Process:
- Sort attribute cards into three piles:
- "Who you are" (current perception)
- "Who you'd like to be" (aspirational)
- "Who you're NOT" (actively rejected)
- Prioritize: From "who you'd like to be," create hierarchy of 8-12 attributes
- Unpack abstract terms: Make "innovative" or "trustworthy" concrete
- Content audit: Evaluate existing content against the architecture
Key Principle: Balance user needs with brand identity — being exclusively user-focused leads to bland sameness.
2. Nielsen Norman Group's Four Dimensions of Tone
Research-backed framework for plotting voice position:
| Dimension | Spectrum | Example |
|---|---|---|
| Formality | Formal ←→ Casual | "We appreciate your inquiry" vs "Hey, good question!" |
| Humor | Serious ←→ Funny | Straightforward vs witty |
| Reverence | Respectful ←→ Irreverent | Traditional vs rule-breaking |
| Energy | Matter-of-fact ←→ Enthusiastic | Neutral vs excited |
Application:
- Plot intended position on each dimension
- A brand CAN be serious AND casual (like a friendly financial advisor)
- Avoid landing exactly in the middle on all dimensions — that's generic
Research Finding: Casual, conversational tone increased trustworthiness by 0.3 points on a 5-point scale.
3. Aaker's Brand Personality Dimensions
The most influential academic framework (Stanford, 1997):
| Dimension | Sub-Traits |
|---|---|
| Sincerity | Down-to-earth, honest, wholesome, cheerful |
| Excitement | Daring, spirited, imaginative, up-to-date |
| Competence | Reliable, intelligent, successful |
| Sophistication | Upper class, charming, glamorous |
| Ruggedness | Outdoorsy, tough, masculine |
Usage: Identify 1-2 primary dimensions for your brand as starting point.
4. "This But Not That" Technique
Used by Slack to add nuance and prevent misinterpretation:
| Voice Attribute | Constraint | Why It Matters |
|---|---|---|
| Confident | but not cocky | Sets boundary on confidence |
| Witty | but not silly | Humor with purpose |
| Friendly | but not ingratiating | Warmth without being desperate |
| Conversational | but always appropriate | Casual yet professional |
| Intelligent | and treats users as intelligent | Respects the audience |
Key Principle: The "not that" constraint prevents common misinterpretations.
Complete Verbal Identity System
A comprehensive verbal identity includes 8 components:
| # | Component | Description |
|---|---|---|
| 1 | Voice Attributes | 3-5 core traits with definitions and "this but not that" refinements |
| 2 | Tone Guidelines | How voice adapts across contexts, channels, emotional states |
| 3 | Messaging Architecture | Purpose, value propositions, elevator pitch, key messages |
| 4 | Naming Conventions | Product/feature naming system, hierarchy |
| 5 | Verbal Distinctive Assets | Ownable phrases, signature words, coined terms |
| 6 | Vocabulary Guidelines | Words to use/avoid, jargon policy, inclusive language |
| 7 | Grammar & Mechanics | Sentence structure, punctuation, contractions, emoji policy |
| 8 | Examples Library | Before/after rewrites, good/bad examples, templates |
Tone Adaptation Framework
Tone Matrix by Channel
| Channel | Tone Adjustment |
|---|---|
| Social Media | More casual, engaging, playful |
| Marketing/Ads | Confident, benefit-focused |
| Customer Support | Empathetic, helpful, clear |
| Legal/Compliance | More formal, precise |
| Product UI | Concise, action-oriented |
Tone by Emotional State (Mailchimp's Approach)
| Reader's State | Tone Response |
|---|---|
| Happy/successful | Match their energy, celebrate |
| Confused | Be patient, clear, helpful |
| Frustrated/angry | Be empathetic first, then helpful |
| Anxious | Be reassuring, concrete, specific |
Slack's 5 Copy Principles
- Be clear and simple — Aim for comprehension
- Anticipate (and answer!) the readers' questions — Be relevant
- Be intentionally playful and bold — Delight without distracting
- Build appropriate emotional connection — Be generous with warmth
- Help people envision the possibilities of a better future
The best copy demonstrates at least 3 of these 5 principles.
Voice vs. Messaging vs. Positioning
These are often confused. Clear distinctions:
| Element | Definition | Answers | Scope |
|---|---|---|---|
| Positioning | Strategic foundation for perception | "Why choose us?" | Internal strategy |
| Messaging | Content and narratives communicating positioning | "What do we say?" | External content |
| Voice | Personality and style in which you communicate | "How do we say it?" | Applied everywhere |
How They Work Together:
- Positioning determines WHAT makes you different
- Messaging translates that into WHAT you say
- Voice determines HOW you say everything
Common Mistakes & Anti-Patterns
| # | Mistake | Pattern | Fix |
|---|---|---|---|
| 1 | Being Generic | "Innovative, customer-focused, passionate" | Use the "airport test" — recognizable without logo? |
| 2 | Inconsistency | Different teams, different styles | Central guidelines, train all teams, voice champions |
| 3 | Stripping Personality | Product specs overwhelming message | Voice makes complexity simple |
| 4 | Copying Trends | Everyone trying to sound like Oatly | Ground in authentic brand values |
| 5 | Ignoring Audience | Voice reflects company, not customer | Research audience preferences first |
| 6 | Vague Guidelines | "Be friendly" without definition | Add concrete dos/don'ts with examples |
| 7 | Create Then Forget | No enforcement or monitoring | Regular audits, ongoing training, metrics |
| 8 | Ignoring AI Era | Guidelines don't work with AI | Create AI-specific guidelines with prompts |
Workshop Exercises
Exercise 1: Adjective Card Sort (15 min)
Sort attributes into "You Are," "You Are Torn," "You Are Not." The "Not" pile is as valuable as "Are."
Exercise 2: Sliding Scale Spectrums (10 min)
Place brand on spectrums: Conservative ←→ Extravagant, Fun ←→ Serious, Traditional ←→ Modern.
Exercise 3: Brand as a Person (15 min)
Questions: What would they do for work? Wear? Never say? Who would they befriend? What annoys them?
Exercise 4: Content Audit (20 min)
Review 10 recent pieces. Read aloud. What feels authentic? What makes you wince?
Exercise 5: Competitive Voice Analysis (20 min)
Review competitors' communications. Identify patterns. Find differentiation opportunities.
Brand Voice in the AI Era
The Challenge
AI produces content at scale, but without clear voice instructions, output sounds generic.
Solutions
AI-Specific Guidelines:
- Distill voice into 3-5 adjectives with explanations
- Provide extensive examples
- Include prompts that work with your voice
Custom GPT Instructions:
- Build assistants with pre-set voice parameters
- Upload documentation, samples, approved phrasing
- Test outputs and refine
Human Oversight:
- AI doesn't understand brand history or nuance
- Always review before publishing
- Use AI for drafts, humans for refinement
Key Statistics
- Tone impacts trust: Casual tone increased trustworthiness by 0.3 points (Nielsen Norman Group)
- Voice drives conversion: Monzo achieved 500% increase in overdraft uptake through messaging
- Voice affects downloads: Monzo's optimized copy led to 15% jump in app download clicks
Exemplar Brands
| Brand | Voice Approach | What to Learn |
|---|---|---|
| Mailchimp | Gold-standard style guide | Comprehensive documentation, open-source |
| Slack | "This but not that" + 5 Principles | Nuanced constraints, developer-friendly |
| Monzo | Training across 700+ employees | Voice as business driver, metrics |
| Oatly | Irreverent stream-of-consciousness | Distinctive voice creates recognition |
Selection Validation Tests
| Test | Question | Pass Criteria |
|---|---|---|
| Airport Test | Would you recognize this without seeing the logo? | Immediately identifiable |
| Consistency Test | Can we express this across all touchpoints? | Translates everywhere |
| Audience Test | Does this resonate with our customers? | Matches their expectations |
| Authenticity Test | Does this feel true to the founder/brand? | Not forced or performative |
| Differentiation Test | Does this stand out from competitors? | Distinctly different |
Templates
See reference/templates.md for:
- Voice Attribute Card Template
- Tone Matrix Template
- Voice Guidelines Document Template
- Before/After Examples Template
- AI Voice Prompt Template
- Voice Summary Card Template
- Output Validation Checklist
When to Apply This Knowledge
During Voice Discovery
- Use BrandSort methodology
- Plot on NNGroup four dimensions
- Apply Aaker personality dimensions
During Voice Refinement
- Apply "this but not that" technique
- Create tone adaptation matrices
- Develop vocabulary guidelines
During Voice Documentation
- Complete all 8 verbal identity components
- Build comprehensive examples library
- Create AI-ready guidelines
During Validation
- Run all 5 validation tests
- Check against 8 common mistakes
- Verify with airport test