Audio Verbatim Insights Extraction
A complete workflow to transform customer audio recordings into actionable insights, combining transcription, sentiment analysis, and theme extraction.
For who
Marketing Analyst / Customer Experience
Input
Enregistrements audio d'interviews clients, focus groups ou appels service client
steps (4)
Audio Transcription
data_prepConvert audio to text using a speech recognition service
Sentiment Analysis
promptDetect the emotional tone and sentiment in each transcription
Theme Extraction
promptIdentify recurring themes and topics
Insights Synthesis
promptCombine analyses to generate actionable insights
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GitHub Copilot Prompt for Data Analysis
GitHub Copilot, the AI assistant developed by GitHub and OpenAI, is not limited to code generation. It is a powerful tool for analyzing data directly in your development environment. Whether you work with CSV files, SQL databases, or pandas DataFrames, Copilot can help you explore, clean, transform, and visualize your data without leaving your IDE. By formulating precise prompts, you can ask it to detect anomalies, compute descriptive statistics, identify correlations, or generate relevant graphs. The major advantage of Copilot for data analysis lies in its ability to understand the context of your existing code: it adapts to the libraries you use (pandas, numpy, matplotlib, seaborn) and offers analyses consistent with your data structure. This guide presents the best prompts to leverage GitHub Copilot in your data analysis tasks, from initial cleaning to creating actionable visual reports.