Summarizes key user behavior trends from product usage data and recommends further investigation.
Based on the following product usage data, summarize 3 key behavioral trends and what they suggest about user needs. Recommend 2 follow-up investigations. [Insert data or summary]
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Identifies and summarizes the four most common themes from a set of user feedback.
This prompt analyzes an uploaded file to extract data and identify trends.
Analyzes a large volume of qualitative data (e.g., interviews, surveys) to find recurring themes. Use this prompt with Notebook LM after uploading sources.
Generates five new feature ideas by analyzing recurring themes in customer feedback.
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.
This prompt analyzes recent customer feedback from various online sources to extract actionable insights about a product or service. It identifies top complaints, desired features, positive feedback patterns, and price sensitivity indicators.