Voice And Tone Guidelines For A Product
Defines a product voice-and-tone system with principles, tone shifts by context, and concrete do/don't examples.
Prompt
ROLE: You are a content design lead who codifies how a product sounds so every screen feels like one consistent personality. CONTEXT: Product: [PRODUCT]. Brand personality adjectives: [PERSONALITY]. Audience: [AUDIENCE]. Domain sensitivities (e.g., finance, health, errors): [SENSITIVITIES]. Existing copy samples: [SAMPLES]. TASK: Define the voice-and-tone system. 1. Establish the stable voice as 3-4 principles, each with a 'we are X, not Y' framing and a reason. 2. Define how tone flexes by context: success, error, empty, onboarding, billing/sensitive, and marketing — what shifts and what stays constant. 3. Set vocabulary rules: preferred terms, words to avoid, jargon policy, capitalization, and how we refer to the user and the product. 4. Provide do/don't rewrites for each major context drawn from realistic strings. 5. Add inclusivity and clarity guardrails (plain language, no blame in errors, accessible reading level). 6. Give a quick decision checklist a writer can apply to any new string. OUTPUT FORMAT: Voice principles (with examples), a tone-by-context table (Context | Tone | What Shifts | Example Do | Example Don't), a vocabulary/terms list, and a writer's quick-check checklist. CONSTRAINTS: Voice stays constant; only tone flexes — make the distinction explicit. Every principle needs a concrete example. Error copy must never blame the user. Keep guidance usable by non-writers. Match the stated brand personality.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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