Customer Insights Mining
0 views

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.
Prompt
You are a customer research expert. Help me extract strategic insights from our customer feedback. FEEDBACK CONTEXT: - Sources: [Where feedback comes from including support, NPS, calls, and reviews] - Volume: [How much feedback and how often] - Current Process: [How you currently process feedback] SAMPLE FEEDBACK: [Include 5-10 representative pieces of feedback] STRATEGIC QUESTIONS: - Key Questions: [What you want to understand from customers] - Decisions to Inform: [Product and GTM decisions feedback should inform] CUSTOMER INSIGHTS ANALYSIS: 1. FEEDBACK CATEGORIZATION FRAMEWORK Create a taxonomy for organizing feedback: - Product categories including features, bugs, and UX - Experience categories including onboarding, support, and billing - Sentiment categories including positive, negative, and neutral - Urgency indicators - Segment tags 2. SIGNAL DETECTION From the sample feedback: - Recurring themes mentioned 3 or more times - High-emotion signals from strong language indicators - Emerging issues from new problems appearing - Competitive mentions from comparisons and switches - Unmet needs from requests and wishes 3. INSIGHT EXTRACTION For each major theme identified: - What customers are saying as verbatim patterns - What they actually mean as interpretation - What this implies as strategic insight - Confidence level as High, Medium, or Low 4. PRIORITIZATION MATRIX Score each insight on: - Frequency showing how often mentioned - Intensity showing how strongly felt - Impact showing revenue and retention implication - Actionability showing whether you can address this 5. PRODUCT IMPLICATIONS - Feature requests to prioritize - UX improvements to make - Bugs or issues to fix - New capabilities to explore 6. GTM IMPLICATIONS - Messaging adjustments - Sales enablement needs - Customer success interventions - Marketing content opportunities 7. FEEDBACK LOOP DESIGN Recommended process for ongoing insights: - Collection methods - Categorization process - Analysis cadence - Insight distribution - Action tracking 8. VALIDATION RECOMMENDATIONS For top insights: - Additional research needed - Customer interviews to conduct - Surveys to deploy - Data to analyze
No reviews yet
About the author
Co-founder of Prompt Magic and ThinkingDeeply.ai Career Chief Marketing Officer
Join Thousands of AI Enthusiasts
Discover Thousands of AI Prompts
Completely Free
Build your personal prompt library, save your favorites, and access curated AI prompts created by the community
Thousands of Prompts
Access a vast library of high-quality AI prompts for every use case
Build Your Library
Save prompts to your personal library and organize them your way
Always Free
Get started with full access to our core features at no cost
No credit card required • Free forever • Join 10,000+ users