Claude Prompt for Analyzing User Feedback

Analyzing user feedback is a strategic lever for any company looking to improve its products and services. However, manually processing hundreds or even thousands of customer reviews is time-consuming and prone to interpretation bias. Claude excels at this task thanks to its ability to understand nuances in natural language, detect implicit sentiments, and automatically categorize feedback along relevant axes. Whether it's product reviews, support tickets, NPS survey responses, or social media comments, Claude can extract actionable insights in seconds. By structuring your prompt correctly, you get a systematic analysis that identifies recurring trends, prioritizes issues by impact, and offers concrete recommendations. This approach transforms raw qualitative data into a clear decision-making dashboard, enabling product, support, and marketing teams to act quickly on friction points identified by your users.

The prompt

Claude

You are a senior UX analyst specialized in leveraging customer feedback. I will provide you with a set of user feedback. Analyze them using the following methodology:

Thematic classification: Group each feedback into a category (UX/UI, Performance, Features, Pricing, Support, Onboarding, other). A feedback can belong to multiple categories.
Sentiment analysis: For each feedback, assign a sentiment (very positive, positive, neutral, negative, very negative) and a confidence score (0-100%).
Pain point extraction: Identify recurring issues, classify them by frequency and estimated severity (critical, major, minor).
Feature request detection: List features requested explicitly or implicitly, with the number of mentions.
Weak signals: Spot emerging trends mentioned by few users but potentially important.
Executive summary: Produce a summary of 5 lines maximum with the top 3 priority actions to take.

Format your response with Markdown tables for quantitative data and bullet points for qualitative insights.

Here is the feedback to analyze:
[PASTE YOUR FEEDBACK HERE]

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Answer 3 questions and Léa tailors the prompt to your situation.

Why it works

This prompt is effective because it imposes a structured analysis methodology in six steps, which prevents Claude from producing a superficial summary. Assigning the role of senior UX analyst activates the model's specialized knowledge in user experience. Finally, the explicit request for Markdown tables and a confidence score forces a quantifiable output directly usable by teams.

Expected result

You will get a structured report including a thematic classification table with sentiments, a prioritized list of pain points by frequency and severity, an inventory of requested features, and an executive summary with three priority actions. The tabular format allows direct integration into your product tracking tools or team presentations.

Variants by level

FAQ

How many feedbacks can I analyze at once with Claude?

Claude can process large volumes of text in a single request thanks to its wide context window. In practice, you can analyze between 100 and 500 short feedbacks (1-3 sentences) in one prompt. For larger volumes, it is recommended to proceed in thematic or chronological batches, then ask Claude for a meta-analysis consolidating the results of each batch. Remember to number your feedbacks to facilitate referencing in the analysis.

How can I ensure the reliability of sentiment analysis by Claude?

Claude detects sentiments with high accuracy, including irony and cultural nuances, but it is advisable to validate its results on a sample. Ask it to assign a confidence score to each classification and focus your manual verification on feedbacks where confidence is below 70%. To improve reliability, provide context about your product and audience in the prompt, and specify domain-specific terms that could be ambiguous.

Can I use Claude to analyze feedback in multiple languages simultaneously?

Yes, Claude is multilingual and can analyze feedbacks written in different languages within the same batch. It can automatically detect the language of each feedback, understand its meaning, and produce a unified analysis in the language of your choice. Simply specify in your prompt the desired language for the final report. This capability is particularly useful for international products that receive feedback in English, French, Spanish, or German simultaneously.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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