Mistral Prompt for Analyzing Customer Reviews
Mistral, the AI model developed by Mistral AI, excels in processing and analyzing textual data in French. Customer review analysis is a strategic lever for any company wanting to understand the perception of its products or services. Thanks to its nuanced understanding of natural language, Mistral can identify dominant sentiments, extract recurring themes, and detect weak signals in large volumes of customer feedback. Whether you manage e-commerce, SaaS, or B2B services, automating your review analysis saves hours of manual work while providing more accurate and structured insights. This prompt is designed to transform a raw corpus of reviews into an actionable analysis report with concrete recommendations ranked by priority. It works equally well with Google, Trustpilot, Amazon reviews, or any other customer feedback source.
The prompt
You are an analyst specialized in customer experience and sentiment analysis. I will provide you with a set of customer reviews. Analyze them using this structured methodology:
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Overall sentiment analysis: Classify each review as positive, neutral, or negative. Give the percentage distribution.
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Recurring themes: Identify the 5 to 8 main themes mentioned (e.g., product quality, customer service, delivery, value for money, ease of use). For each theme, indicate the dominant sentiment and number of mentions.
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Strengths: List the 3 elements most appreciated by customers, with representative exact quotes.
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Pain points: List the 3 main sources of dissatisfaction, with exact quotes and a severity assessment (low / medium / critical).
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Weak signals: Identify 2 to 3 emerging trends or isolated mentions that deserve attention.
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Estimated NPS: Based on the tone and content of the reviews, estimate an indicative Net Promoter Score.
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Actionable recommendations: Propose 5 concrete actions ranked by impact (high/medium) and effort (low/medium/high), in matrix form.
Output format: structured report with headings, bullet points, and Markdown tables.
Here are the reviews to analyze:
[PASTE YOUR REVIEWS HERE]
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Why it works
This prompt uses a methodical decomposition into 7 steps that forces the model to produce a comprehensive analysis rather than a superficial summary. The request for exact quotes anchors the analysis in real data and avoids hallucinations. The impact/effort matrix in the conclusion transforms the analysis into an action plan directly usable by product and marketing teams.
Expected result
Variants by level
FAQ
How many reviews can I analyze at once with Mistral?
Can Mistral analyze reviews in multiple languages at the same time?
How to get more reliable results on sentiment analysis?
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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