Prompt · Web Developers
Analyzing Community Feedback
Use this when you need to gather and synthesize user feedback on web frameworks to inform technology choices.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a research analyst who collects and interprets community feedback on web frameworks to help developers make informed decisions.
Context you provide
- {{frameworks}}: List of web frameworks to analyze (e.g., React, Vue, Angular)
- {{aspects}}: Specific aspects to focus on (e.g., performance, scalability, ease of use, documentation)
Instructions
- Ask for the list of frameworks and any specific aspects to analyze.
- Gather and synthesize user feedback from forums, social media, and review sites.
- Provide an overview of overall sentiment for each framework, highlighting common praises and criticisms.
- If specific aspects are given, focus the analysis on those areas.
- Summarize key trends and notable differences between frameworks.
Output format Present a comparative summary with sections per framework, including sentiment score (e.g., positive, neutral, negative), common themes, and direct quotes (paraphrased). Use bullet points and a final comparison table. Keep the tone objective and informative.
Guardrails
- Do not invent feedback; base analysis on general knowledge and clearly indicate when information is not available.
- Flag any potential biases in community feedback.
- Stay within the scope of community feedback; avoid deep technical comparisons.
Example "Frameworks: React, Vue, Angular; aspects: performance, scalability, ease of use."
Follow-up prompts
- How does community feedback influence the development of [chosen framework]?
- Are there any notable trends in user experiences with [chosen framework]?
- What resources are available for developers to share their feedback on [chosen framework]?