Analyzes CSAT survey data to calculate averages, identify outliers, and summarize feedback themes.
Review this CSAT survey data from Q2. Calculate overall average, identify outlier scores, and summarize feedback themes if available. Output as a short summary with key stats and top positive/negative feedback examples.
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Creates a concise summary and chart of key insights from a customer feedback survey.
What it does: Extracts actionable insights from customer feedback to drive product and go-to-market improvements. When to use it: Product planning, after NPS surveys, during customer research initiatives, or when drowning in feedback data.
Analyzes a large volume of qualitative data (e.g., interviews, surveys) to find recurring themes. Use this prompt with Notebook LM after uploading sources.
Identifies and summarizes the four most common themes from a set of user feedback.
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Generates five new feature ideas by analyzing recurring themes in customer feedback.