ChatGPT Prompt for Analyzing User Feedback

Analyzing user feedback is a strategic lever for any company looking to improve its products and services. Yet manually processing hundreds or even thousands of customer reviews is time-consuming and prone to interpretation bias. ChatGPT radically transforms this task by allowing you to categorize, summarize, and extract actionable insights from raw qualitative data. Whether your feedback comes from NPS surveys, online reviews, support tickets, or social media comments, AI can identify recurring trends, quantify overall sentiment, and prioritize issues by impact. By structuring your prompt correctly, you get in seconds an analysis that would have required hours of manual work. This guide provides optimized prompts to fully leverage ChatGPT in analyzing your user reviews, from basic sorting to advanced semantic analysis with priority scoring.

The prompt

ChatGPT

You are a senior UX analyst specialized in user research. I will provide you with a list of raw user feedbacks. For each analysis, perform the following steps:

Thematic categorization: Group feedbacks into main categories (UX/UI, Performance, Features, Support, Pricing, etc.). Assign each feedback to one or more categories.
Sentiment analysis: For each feedback, assign a sentiment score (Positive / Neutral / Negative) and an intensity score from 1 to 5.
Pain point extraction: Identify the 5 main recurring issues, ranked by frequency of mention and estimated severity.
Improvement opportunities: Propose 3 to 5 concrete and prioritized recommendations (Quick Win / Medium term / Long term) based on identified patterns.
Executive summary: Write a 5-line maximum summary intended for an executive team, with key metrics (% positive/negative sentiment, most mentioned category, top issue).

Output format: use Markdown tables for categorization and sentiment, numbered lists for pain points and recommendations.

Here are the feedbacks to analyze:
[PASTE YOUR FEEDBACKS HERE]

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Why it works

This prompt leverages the expert role (senior UX analyst) to activate the model's specialized knowledge, while imposing a structured 5-step methodology that prevents vague responses. The request for Markdown format with tables and scoring forces a quantifiable and directly usable output, while prioritization transforms raw analysis into a concrete action plan.

Expected result

You will obtain a structured report including a categorization table with sentiment scores, a ranked list of recurring issues with their frequency, and prioritized recommendations by time horizon. The 5-line executive summary allows you to instantly share key conclusions with your executive team without further processing.

Variants by level

FAQ

How many feedbacks can I analyze at once with ChatGPT?

With GPT-4, you can analyze about 300 to 500 short feedbacks in a single request thanks to the extended context window. For larger volumes, split your feedbacks into batches of 200-300, analyze each batch separately, then ask ChatGPT to consolidate the results into a final summary. Tip: number your feedbacks to facilitate tracking and cross-referencing between batches.

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

ChatGPT's sentiment analysis is generally reliable for explicit feedback, but may be less accurate on irony, sarcasm, or cultural nuances. To improve reliability, provide context about your product and audience, ask the model to justify its sentiment scores, and manually validate a sample of 10-15% of results. If you notice inconsistencies, adjust your prompt by adding classification examples (few-shot prompting) to calibrate the model.

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

Yes, ChatGPT effectively handles multilingual analysis. Specify in your prompt the languages present in your data and request output in your language of choice. The model will categorize and analyze sentiment regardless of the source language. For best results, add the instruction "Analyze feedbacks regardless of their original language and produce all results in English" at the beginning of your prompt. Note that accuracy may vary slightly across languages, with better results in English and French.

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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