Prompt lesson · 22 prompts
Website User Experience Improvement prompts for E-commerce Managers
22 ready-to-use prompts from our AI for E-commerce Managers course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
A/B Test Results Analysis
Use this when you need to analyze A/B test results to understand user preferences, identify winning variants, and make data-driven decisions for website improvements.
Role — You are a data-driven product and marketing analyst. Your goal is to analyze A/B test results to determine which variant performed better, explain why, and provide actionable insights for future website improvements.
Context you provide
- {{test_feature}}: The specific feature, element, or page that was tested (e.g., new checkout button, homepage hero image).
- {{test_results}}: The key results from the A/B test, such as conversion rates, click-through rates, or other metrics for each variant.
- {{test_duration}}: How long the test ran and the sample size (optional but helpful).
- {{business_goal}}: The primary goal of the test (e.g., increase conversions, reduce bounce rate).
Instructions
- If any required inputs are missing, ask for them before proceeding.
- Analyze the provided A/B test results to identify which variant had higher performance on the key metrics.
- Explain the factors that likely contributed to the winning variant's success, based on the data and common UX/behavioral principles.
- Summarize key findings and insights that can inform future design or marketing decisions.
- Suggest next steps, including additional tests or metrics to track.
Output format — Provide a structured analysis with sections: Results Summary, Winning Variant, Contributing Factors, Key Insights, and Recommended Next Steps. Use clear headings and bullet points. Tone: analytical and objective.
Guardrails — Do not invent statistical significance or data not provided; flag if the data is insufficient for conclusions. Stay within A/B test analysis scope—do not expand into unrelated marketing strategy. Base all insights on the provided results and reasonable assumptions.
Example — "Test feature: new checkout button color; test results: Variant A (green) 3.2% conversion, Variant B (blue) 2.8%; test duration: 2 weeks, 10,000 visitors per variant; business goal: increase checkout completion."
Follow-ups — What specific user behaviors should we analyze next based on these results? Can you suggest further A/B tests to run based on the insights you've provided? How can we better communicate changes to our users post-A/B testing?
Open this prompt Analysis · Intermediate
Checkout Process Optimization
Use this when you need to analyze and simplify your checkout process to reduce friction and improve conversion rates.
Role You are a UX and conversion optimization specialist, focused on identifying and eliminating friction points in the checkout process to boost completion rates.
Context you provide
- {{user_feedback}}: qualitative feedback from users (e.g., surveys, reviews).
- {{behavioral_data}}: quantitative data on user interactions (e.g., drop-off points, time on page).
- {{current_checkout_flow}}: description of the existing checkout steps.
- {{business_constraints}}: any limitations (e.g., payment gateway, legal requirements).
Instructions
- Request any missing information before starting.
- Analyze the provided feedback and data to identify common pain points and bottlenecks.
- Prioritize issues based on impact and effort.
- Propose specific improvements to streamline the checkout process, such as reducing steps, simplifying forms, or adding guest checkout.
- Suggest a testing plan (e.g., A/B tests) to validate changes.
- Recommend metrics to monitor post-implementation.
Output format Provide a structured analysis with sections: Pain Points, Prioritized Recommendations, Implementation Plan, and Success Metrics. Use bullet points and clear headings.
Guardrails
- Do not assume data not provided; base analysis on given information.
- Flag any assumptions about user behavior.
- Stay within the scope of checkout optimization; avoid unrelated UX changes.
Example
- {{user_feedback}}: "Checkout takes too long", {{behavioral_data}}: 60% drop-off at payment step, {{current_checkout_flow}}: 5-step process, {{business_constraints}}: must collect shipping info.
Open this prompt Analysis · Intermediate
Content Engagement Analysis
Use this when you need to analyze how users interact with your content to identify strengths, weaknesses, and optimization opportunities.
Open this prompt Analysis · Intermediate
Conversion Rate Optimization
Use this when you need to analyze your conversion funnel and identify improvements to increase conversion rates.
Open this prompt Analysis · Intermediate
Customer Support Chatbot Design
Use this when you need to design or improve a chatbot that handles customer support inquiries effectively.
Open this prompt Creating · Intermediate
Dynamic Content Personalization
Use this when you need to create a system that adapts website content in real time based on user behavior and preferences.
Open this prompt Creating · Advanced
Dynamic Pricing Strategy Design
Use this when you need to develop a dynamic pricing strategy based on user behavior to optimize revenue and competitiveness.
Open this prompt Analysis · Advanced
Gamified Engagement Design
Use this when you want to design gamified experiences to boost user engagement and retention on your platform.
Open this prompt Creating · Intermediate
Heatmap Data Interpretation
Use this when you need to analyze heatmap data to understand user engagement and optimize website layout and content.
Open this prompt Analysis · Intermediate
Interactive Tour Creation
Use this when you need to design interactive product tours that guide users through features and benefits in an engaging way.
Open this prompt Creating · Intermediate
Mobile Experience Optimization
Use this when you need to analyze and improve your website's mobile responsiveness and user experience.
Open this prompt Analysis · Intermediate
Personalization Strategy Development
Use this when you need to design a data-driven personalization strategy for your e-commerce platform.
Open this prompt Planning · Intermediate
Personalized Email Campaign Design
Use this when you need to create data-driven personalized email campaigns that boost engagement and conversions.
Open this prompt Creating · Intermediate
Predictive Search Implementation Plan
Use this when you need to plan and implement predictive search functionality to improve product discovery on your e-commerce platform.
Open this prompt Planning · Advanced
Product Recommendation System Design
Use this when you need to build or improve a personalized product recommendation system for your e-commerce site.
Open this prompt Planning · Advanced
Usability Testing Coordination
Use this when you need to plan, execute, and analyze usability tests to gather qualitative insights on user behavior and preferences.
Open this prompt Planning · Intermediate
User Feedback Analysis
Use this when you need to analyze user feedback from surveys, reviews, or support interactions to identify pain points and actionable improvements.
Open this prompt Analysis · Intermediate
User Journey Mapping
Use this when you need to map user journeys to identify friction points and optimization opportunities across the website or app.
Open this prompt Analysis · Intermediate
Visual Search Implementation
Use this when you need to plan and implement visual search features on an e-commerce site to improve product discovery.
Open this prompt Planning · Advanced
Voice Search Integration
Use this when you need to plan and integrate voice search capabilities into an e-commerce site to improve product discovery and user convenience.
Open this prompt Planning · Advanced
Website Accessibility Audit
Use this when you need to evaluate and improve your website's accessibility for users with disabilities.
Open this prompt Analysis · Intermediate
Website Design A/B Test Insights
Use this when you need to analyze A/B testing results for website design changes and derive actionable insights to improve user experience and conversion.
Open this prompt Analysis · Intermediate