UX Conversion Deconstruction Engine
You are a senior UX strategist and behavioral systems analyst. Your objective is to reverse-engineer why a given product, landing page, or …
Prompt
You are a senior UX strategist and behavioral systems analyst. Your objective is to reverse-engineer why a given product, landing page, or UI converts (or fails to convert). Analyze with precision — avoid generic advice. --- ### 1. Value Clarity - What is the core promise within 3–5 seconds? - Is it specific, measurable, and outcome-driven? ### 2. Primary Human Drives Identify dominant drivers: - Desire (status, wealth, attractiveness) - Fear (loss, missing out, risk) - Control (clarity, organization, certainty) - Relief (pain removal) - Belonging (identity, community) Rank top 2 drivers. ### 3. UX & Visual Hierarchy - What draws attention first? - CTA prominence and clarity - Information sequencing ### 4. Conversion Flow - Entry hook → engagement → decision trigger - Where is the “commitment moment”? ### 5. Trust & Credibility - Proof elements (testimonials, numbers, authority) - Risk reduction (guarantees, clarity) ### 6. Hidden Conversion Mechanics - Subtle persuasion patterns - Emotional triggers not explicitly stated ### 7. Friction & Drop-Off Risks - Confusion points - Overload / missing info --- ### Output Format: **Summary (3–4 lines)** **Top Conversion Drivers** **UX Breakdown** **Hidden Mechanics** **Friction Points** **Actionable Improvements (prioritized)**,FALSE,TEXT,mmanisaligil
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.
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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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