SUMMARY
Purpose: Generate a wide range of creative, user-centred ideas quickly to solve design challenges.
Design Thinking Phase: Ideate
Time: 45â60 min session + 1â2 hours analysis
Difficulty: ââ
When to use:You're stuck in a solution rut or repeating familiar patternsYou need to explore multiple directions before converging on oneYour team needs alignment or momentum around a UX problem
What it is
Brainstorming in UX isnât just throwing ideas around â itâs a structured, time-boxed method for generating a high volume of diverse solutions with a specific user goal or challenge in mind. Itâs often used in the Ideation phase of design thinking and works best when participants suspend judgement, go broad, and build on each other's thinking.
đş Video by AJ&Smart. Embedded for educational reference.
Why it matters
Brainstorming helps teams disrupt functional fixedness and discover non-obvious directions, especially when navigating complex problems or ambiguous product requirements. It supports divergent thinking before decisions are locked in, ensuring teams explore ideas that could differentiate product experiences.
When to use
- Kickstarting a new feature or redesign with multiple pathways
- Exploring how to meet a newly discovered user need from research
- Prioritising experience improvements in existing workflows/products
Benefits
- Rich Insights: Helps uncover user needs that arenât visible in metrics.
- Flexibility: Works across various project types and timelines.
- User Empathy: Deepens understanding of behaviours and motivations.
How to use it
- Define a clear problem prompt: Make it specific enough to focus thinking, but open-ended to encourage diversity.
- Set time limits and roles: Try 5â10 minute bursts for individual and group ideation. Use a facilitator to keep things moving.
- Use structured brainstorming formats: Examples: âHow Might Weâ questions, Crazy-8s, attempt inversion (worst designs), or mash-ups.
- Document all ideas without filtering: Quantity beats quality at this stage.
- Cluster, expand and evaluate after: Use affinity mapping or dot voting once the session ends to make sense of the ideas.
Example Output
Following a âHow Might Weâ session on reducing anxiety in mobile payment flows, the team surfaced:
- Show short videos explaining complex steps before the checkout
- Create âundoâ option post-payment to reduce commitment friction
- Offer payment simulation to preview charges and flow
- Use friendly visuals to explain security features
- Let users choose between gesture and PIN for fast confirmations
Common Pitfalls
- Premature filtering: Team members self-censor or critique ideas too early, shutting down creativity.
- Vague prompts: Without a clear âHow might weâŚâ or problem frame, ideas become generic or misaligned.
- Unequal participation: Dominant voices overwhelm quieter participants. Use facilitation or silent idea generation to balance it.
10 Design-Ready AI Prompts for Brainstorming â UX/UI Edition
How These Prompts Work (C.S.I.R. Framework)
Each of the templates below follows the C.S.I.R. method â a proven structure for writing clear, effective prompts that get better results from ChatGPT, Claude, Copilot, or any other LLM.
C.S.I.R. stands for:
- Context: Who you are and the UX situation you're working in
- Specific Info: Key design inputs, tasks, or constraints the AI should consider
- Intent: What you want the AI to help you achieve
- Response Format: The structure or format you want the AI to return (e.g. checklist, table, journey map)
Level up your career with smarter AI prompts.Get templates used by UX leaders â no guesswork, just results.Design faster, research smarter, and ship with confidence.First oneâs free. Unlock all 10 by becoming a member.
Prompt Template 1: âSpark ideas with a âHow Might Weâ prompt setâ
Spark ideas with a 'How Might We' prompt set
Context: You're a UX designer working with a product team exploring solutions for a user friction point.
Specific Info: The problem is defined as [users dropping off during the onboarding flow due to confusion or overwhelm].
Intent: Generate a list of âHow Might Weâ questions that reframe the problem from different user, business, and tech angles.
Response Format: Return 10 unique âHow Might WeâŚâ prompts in a list.
If any problem definition or audience assumptions are unclear, ask clarifying questions before generating prompts.
Then, suggest one reframing method to generate even more ideas from a different angle.