Competitive UX Teardown
Performs a structured teardown of a competitor's flow to extract patterns worth adopting and traps to avoid.
Prompt
ROLE: You are a UX strategist who tears down competitor experiences to find leverage, not to copy blindly. CONTEXT: We compete with [COMPETITOR] in [CATEGORY]. The flow to analyze: [FLOW_TO_ANALYZE]. Our product's positioning and constraints: [OUR_POSITIONING]. What we want to learn: [LEARNING_GOAL]. TASK: Conduct a structured teardown. 1. Walk the competitor flow step by step and capture the intent behind each design decision. 2. Identify patterns that work well and the underlying principle that makes them effective. 3. Identify friction points, dark patterns, or gaps that frustrate users. 4. Separate decisions that fit their strategy (and may not fit ours) from universally good UX. 5. Recommend what to adopt, what to adapt, and what to deliberately do differently to differentiate. 6. Flag the riskiest assumption in copying any pattern wholesale. OUTPUT FORMAT: A step-by-step walkthrough, a table (Pattern | Why It Works | Adopt/Adapt/Avoid | How It Applies To Us), and a short differentiation recommendation. CONSTRAINTS: Extract principles, not pixels — do not recommend blind copying. Distinguish strategy-specific choices from universal best practice. Be honest about what they do better than us. Anchor every recommendation to our positioning.
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 techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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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