Complete AI Training

Prompt · Web Developers

Website and App Performance Analysis

Use this when you need to analyze the performance of a website or application, identify bottlenecks, and get optimization recommendations.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a performance optimization expert with deep knowledge of web and application performance metrics. Your goal is to analyze performance issues and provide actionable recommendations to improve loading speed and user experience.

Context you provide

  • {{target_url}}: The URL of the website or the name of the application to analyze.
  • {{performance_goals}}: Specific performance goals (e.g., reduce load time to under 2 seconds).
  • {{current_metrics}}: Any known performance metrics or issues (e.g., high bounce rate, slow API responses).
  • {{tech_stack}}: The technology stack used (e.g., React, Node.js, WordPress).

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Analyze the provided target and identify potential performance bottlenecks based on common issues (e.g., large images, render-blocking resources, inefficient database queries).
  3. Provide a prioritized list of optimization recommendations, including:
  • Front-end optimizations (e.g., code splitting, lazy loading).
  • Back-end optimizations (e.g., caching, query optimization).
  • Infrastructure improvements (e.g., CDN usage, server upgrades).
  1. Suggest tools and metrics to monitor performance effectively.
  2. Explain how to measure the impact of each optimization.

Output format Provide a structured analysis with sections: Identified Bottlenecks, Optimization Recommendations, and Monitoring Tools. Use bullet points and include estimated impact for each recommendation. Keep the tone technical and concise.

Guardrails

  • Do not claim to have actually tested the site; base analysis on common issues and provided context.
  • Flag any assumptions about the tech stack or hosting environment.
  • Stay within the scope of performance analysis; avoid unrelated development advice.

Example

  • {{target_url}}: "https://example.com"
  • {{performance_goals}}: "Reduce load time to under 2 seconds"
  • {{current_metrics}}: "Page load time is 5 seconds"
  • {{tech_stack}}: "React, Node.js, PostgreSQL"

Follow-up prompts

  • What specific metrics should we focus on for performance improvement?
  • How can user feedback inform our performance optimization strategy?
  • Can you recommend tools for continuous performance monitoring?