Prompt Design for UX Designers
- Sean Brennan
- Ux , Ai
- June 6, 2025
UX professionals are uniquely suited to craft better AI prompts. Learn the fundamentals of prompt engineering from a design perspective.

Crafting good prompts is part of modern UX work. We’re no longer just designing UIs—we’re shaping the conversation between users and machines.
Why Prompt Design Matters
In AI-powered products, prompts aren’t just technical instructions—they’re the primary interface. The wording of a prompt can dramatically affect the quality, tone, and usefulness of the response. That makes it a UX concern, not just an engineering one.
As a designer, you’re well positioned to guide this. You understand user intent, mental models, and how to frame interactions with clarity and empathy.
What Is Prompt Design?
Prompt design is the practice of shaping text-based inputs—whether prewritten by the system or entered by users—to guide AI behavior in the right direction.
It includes:
- System-generated prompts (e.g. “Ask me anything…”)
- Instructional prompts for AI (e.g. “Summarise this in plain English”)
- Guardrails or examples that help users phrase their inputs effectively
Key Principles for UX-Focused Prompt Design
1. Start with Clear Intent
Prompts should signal what the AI is trying to do and what the user should expect.
Bad:
“Go”
Better:
“Summarise the following email in 3 bullet points”
Great:
“Write a friendly, professional summary of this email so I can reply faster”
2. Design for Context Awareness
Prompts work best when they include relevant context. As a designer, think about:
- What information is available in the interface already?
- Can we prefill the prompt with helpful details?
- Should the AI know the user’s goal or preferences?
Example:
“Generate a product description using this page’s headline, image, and feature list”
3. Use Examples and Constraints
The best prompts often include boundaries or examples:
- “Limit response to 100 words”
- “Tone: supportive and clear”
- “Use this format: [title] [summary] [CTA]”
These guide the AI without overengineering the logic.
4. Offer Prompt Templates to Users
Not every user knows how to talk to an AI system. Well-crafted prompt templates can increase usability, especially for:
- Content creation
- Customer support
- Data analysis
- Planning or decision-making
Example UI:
✏️ “Summarise this document”
🧠 “Brainstorm blog post ideas about…”
📊 “Explain this chart to a beginner”
Prompt Design Patterns
Here are common UX prompt types:
- Instructional: “Write a friendly follow-up email.”
- Exploratory: “What are some other ways to solve this?”
- Corrective: “Try again, but make it shorter and less formal.”
- Contextual: “Based on my previous answers, draft a summary.”
Use them to shape flows that feel natural and interactive—not mechanical.
Prompt Testing: A
Want to talk about AI in your product design process? Get in touch or connect with me on LinkedIn .