This challenge involves using AI tools like ChatGPT, Google Gemini, or Claude to analyse user feedback comprehensively. You will use mocked user feedback, apply AI techniques to identify themes and sentiments, and derive actionable insights to enhance the product.

Detailed Instructions

1. Understand AI in User Feedback Analysis:
   • Research how AI tools like ChatGPT, Google Gemini, or Claude can be used to analyse user feedback.
   • Look for examples of sentiment analysis, theme extraction, and other relevant techniques.
2. Review Prepared User Feedback:
   • Use the mocked set of fictional user feedback provided below.
3. Select AI Tools for Analysis:
   • Choose AI tools or platforms that can help in analysing user feedback, such as ChatGPT, Google Gemini, or Claude.
4. Prepare the Feedback Data:
   • Organise the prepared user feedback in a format that can be processed by the AI tools (e.g., CSV file, text document).
5. Conduct AI Analysis:
   • Use the chosen AI tools to analyse the user feedback.
   • Focus on extracting key themes, sentiments, and identifying common issues or suggestions.
6. Interpret the Results:
   • Review the AI analysis results to identify actionable insights.
   • Summarise the key findings, including common themes, user sentiments, and priority areas for improvement.
7. Present Your Findings:
   • Prepare a short report or presentation summarising the AI analysis results.
   • Highlight the main themes, sentiments, and actionable insights derived from the user feedback.
   • Suggest specific improvements or changes based on the analysis.

<aside> 💡 Reflection (Optional): After completing the task, spend 10 minutes reflecting on the experience. Write down what you learned, what went well, and what could be improved.

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Mocked User Feedback for "FitLife Tracker" Mobile App

• "I love the new update! The interface is much cleaner and easier to navigate."
• "The app crashes every time I try to log my workout. It's really frustrating."
• "Could you add a dark mode? I usually use the app at night and the bright screen hurts my eyes."
• "The customer support is very helpful and resolved my issue quickly."
• "I don't find the new calorie counter feature useful at all. It just clutters the interface."
• "Notifications are not working properly. I missed important reminders because of this."
• "Great app! However, the loading time has increased significantly after the last update."
• "The search functionality is very slow and doesn't return relevant results."