Perplexity AI
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🕵️♂️ Category 1: Competitive Analysis and Benchmarking (UX)This prompt instructs the model to search the current network for real-world market players and tabulate their features.
Prompt:
Act as a Senior UX Researcher. Search the web for the top 3 competing platforms in the [add industry, np. Telehealth mobile apps] sector in 2026. Conduct a competitive UX benchmark analysis. Output your findings in a Markdown table comparing: User Onboarding Flow, Main Navigation Structure, and Checkout/Conversion Process. For every claim, provide an inline citation to the source or breakdown article. Do not use generic descriptions; focus on specific, documented user interface solutions.
🔍 Category 2: Identifying usability errors and barriers (UX) This prompt uses LLM’s ability to synthesize forum threads, reviews and expert articles in order to find the so-called pain points.
Prompt:
Act as a UX Auditor. Investigate user complaints, expert reviews, and usability case studies regarding [wpisz produkt/platformę, np. grocery delivery checkout flows]. Identify the top 4 most common usability issues and friction points that lead to cart abandonment. For each issue: describe the user behavior, cite the source database or review site where this pattern is documented, and suggest a proven UX design pattern to mitigate the problem.
🎨 Category 3: Visual Trends and Component (UI) Analysis This prompt forces Perplexity to scan the latest technology posts, Design Systems documentation, and platforms like Dribbble/Behance for UI patterns.
Prompt:
Act as a Lead UI Designer. Research the current 2026 visual interface design trends for [wpisz segment, np. B2B financial dashboards]. Analyze the dominant design tokens being used by industry leaders. Specifically extract and summarize data regarding: Preferred Typography pairings, Color Palette ranges (provide HEX examples if cited), and Component Styles (e.g., neo-brutalism, glassmorphism, or data density layouts). Back your summary with live web references to design case studies or official design systems.
📊 Category 4: Statistical Research to Support Decisions (Data-Driven UX) Designers often need to convince businesses to embrace change. This prompt pulls out the hard numbers needed for a presentation (pitch).
Prompt:
Act as a Data-Driven UX Strategist. Search for peer-reviewed studies, NN/g (Nielsen Norman Group) reports, and recent 2026/2027 industry statistics regarding the ROI of mobile micro-interactions and animations. Provide 3 factual, statistical data points that demonstrate how micro-interactions impact user retention or conversion rates. List the exact URLs and publication names for each statistical claim to ensure verification.
💡 How to use them in Perplexity? Copy the selected prompt and paste it into Perplexity. Replace the text in square brackets […] with your data. LLM Tip: After receiving the answer, use the “Pro” button (if you have access) or enter a clarification: “Focus only on mobile viewport constraints” or “Rewrite this for a non-technical stakeholder”.
