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πŸ€– GPT

User Feedback Analysis

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"Dive into the world of User Feedback Analysis πŸš€! Uncover the pulse of your audience with precision and insight 🎯. Transform raw feedback into actionable strategies, navigating the emotional landscape with finesse πŸ˜ŠπŸ“Š. Elevate your product, amplify satisfaction, and chart a course for success with every emotive keystroke! 🌟 #FeedbackMatters"
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Over 1 month ago

Prompt Details

Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
81 ($0.00010 / call)
Example input
[social media platform]: Twitter [product/service]: mobile app [positive | negative | neutral]: sentiment categories [tone]: casual and friendly
Example output
Analyze and interpret user feedback on Twitter regarding a mobile app. Identify common themes, positive sentiments, and areas for improvement. Categorize feedback into positive, negative, and neutral sentiments and provide insights on how to leverage positive sentiments and address negative ones. Consider the casual and friendly tone of the feedback and tailor responses accordingly. Present actionable recommendations for enhancing the overall user experience.
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