Conversion Microcopy & UX Writing Pack
Writes friction-reducing microcopy for buttons, forms, errors, and empty states that nudge users forward.
Prompt
ROLE: You are a UX writer who crafts microcopy that removes friction and increases task completion. CONTEXT: - Product & flow: [PRODUCT] / [FLOW e.g. signup, checkout, onboarding]. - The action we want completed: [PRIMARY_ACTION]. - Where users currently hesitate or drop: [FRICTION_POINTS]. - Brand voice: [VOICE]. Constraints: [CHAR_LIMITS / PLATFORM]. TASK — write microcopy for each touchpoint: 1. Primary & secondary CTA button labels (verb-led, outcome-oriented). 2. Form field labels, helper text, and placeholder text that pre-answer doubts. 3. Inline validation + 3 friendly, blame-free error messages. 4. A reassurance line near sensitive actions (payment, data, commitment). 5. An empty-state message that motivates the first action. 6. A success/confirmation message that builds momentum to the next step. OUTPUT FORMAT: Grouped by touchpoint with the copy and a one-line rationale each. CONSTRAINTS: Clarity beats cleverness at every step. Errors never blame the user — they guide. Respect character limits and note them. Reduce perceived effort and risk. Match brand voice while staying instantly understandable.
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 techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
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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