More Prompts:
LIM for ideation using cognitive bias awareness →LIM for ideation using neuroscience insights →LIM for ideation using role-playing scenarios →LIM for ideation using creative writing techniques →LIM for ideation using mind mapping strategies →LIM for ideation using lateral thinking exercises →LIM using team collaboration using LIM →LIM for summarization using news articles →LIM using problem-solving techniques using LIM →LIM for summarization using medical research →
Best prompts for LIM for ideation using design thinking frameworks
12 copy-ready prompts for language interaction models (LIMs) to run fast, structured ideation using core design thinking tools (empathy maps, journey maps, HMW, SCAMPER, etc.). Each prompt tells the model exactly what input to expect and what formatted output to produce.
GPT-5
Claude Opus 4
Claude Sonnet 4
Gemini 2.5 Flash
Gemini 2.5 Pro
You know that moment when you're staring at ChatGPT or Claude, trying to brainstorm ideas for your next product feature, and all you get back is a generic bulleted list that sounds like it came from a textbook? You end up spending more time figuring out how to ask the right question than actually solving your design problem. It's like having a brilliant research assistant who speaks a different language.
These 12 battle-tested prompts transform your AI from a confused intern into your most productive design thinking partner. Each prompt gives you structured frameworks for empathy mapping, journey mapping, SCAMPER ideation, assumption testing, and more, complete with exact input requirements and formatted outputs. Instead of wrestling with vague AI responses, you'll get actionable insights, prioritized ideas, and clear next steps that move your projects forward faster than traditional brainstorming sessions.
1
Create an Empathy Map from a short persona
You are an ideation assistant. Input: a one-paragraph persona. Output: an empathy map with these sections: 1) Persona header (name, role, age, context), 2) Says (3 bullets), 3) Thinks (3 bullets), 4) Does (3 bullets), 5) Feels (3 bullets), 6) Supporting evidence (3 bullets linking persona text to map), 7) Key insights (3 numbered), 8) Design opportunities (3 brief HMW-style statements). Keep each bullet concise. Use plain text.
Generate a 4-quadrant empathy map (Says, Thinks, Does, Feels), 3 supporting evidence bullets, 3 insights, and 3 design opportunity statements from a single-paragraph persona.
2
Customer Journey Map for a specific scenario
You are an ideation assistant. Input: a scenario title and 2–3 sentence description of the user and goal. Output: a journey map broken into 5 phases (e.g., Discover, Evaluate, Purchase, Use, Support). For each phase include: Phase name, User goal (1 sentence), Actions (3 bullets), Touchpoints (2 bullets), Pain points (2 bullets), Emotion score (1-5), Opportunity (1 short idea). Return plain text with phases labeled.
Produce a phase-by-phase journey map with goals, actions, touchpoints, pain points, emotions (1-5), and opportunity ideas per phase.
3
Turn research notes into prioritized How Might We (HMW) questions
You are an ideation assistant. Input: 6–10 short research observations (each 1 sentence). Output: 8 HMW questions grouped under 3 opportunity headings. For each HMW include a one-sentence rationale and a one-line quick prototyping idea. Mark each HMW as High/Medium/Low impact. Return plain text.
Convert 6–10 short research observations into 8 HMW questions, grouped by opportunity area, and rank by potential impact (high/medium/low).
4
Apply SCAMPER to generate product variants
You are an ideation assistant. Input: product name and 1-line description. Output: For each SCAMPER letter list 2–3 concrete idea variants (1–2 sentences each) and a feasibility note (low/medium/high). Keep responses concise and numbered by letter.
Run through SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, Reverse) and give 2–3 concrete idea variants per letter with a quick feasibility note.
5
Assumption mapping and top-3 experiment plans
You are an ideation assistant. Input: one-sentence product concept and up to 6 supporting claims. Output: 1) Table-like list of assumptions with tags (Critical/Not-critical, High/Low uncertainty), 2) Select top 3 high-risk assumptions and for each provide: Hypothesis, Experiment type (qual/quant), Steps (3 bullets), Success metric and target. Return plain text.
Identify product assumptions, classify them by (critical/less-critical) and (high/low uncertainty), then propose 3 quick experiments (hypothesis, method, metric, target) to test the highest-risk assumptions.
6
Rapid constrained brainstorming: 30 ideas
You are an ideation assistant. Input: problem statement and constraints (max budget, tech allowed, timeline in weeks). Output: 30 short ideas (one line each), grouped into three sections: Now (can do within constraints), Next (needs moderate lift), Later (bigger bets). At the end list top 3 ideas to prototype and one-sentence justification per idea.
Generate 30 distinct ideas under given constraints (time, budget, technical limits); group into Now/Next/Later tiers and pick top 3 to prototype with a 1-line reason each.
7
Create 3 data-driven personas from analytics summary
You are an ideation assistant. Input: 4–6 bullet analytics summary items (traffic segments, device split, top use cases, top drops). Output: three personas (name, age, segment), each with Goals (2 bullets), Frustrations (2 bullets), Tech comfort (low/medium/high), Representative quote (1 line), and one priority feature that would serve them best. Use plain text.
Turn an analytics summary (traffic segments, top tasks, key drop-offs, demographics) into three actionable personas with goals, frustrations, tech comfort, quote, and a primary feature recommendation per persona.
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