Voice of Customer Synthesizer
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This prompt will help in extracting actionable insights from customer feedback data to inform marketing and product strategy. You must attach or provide links for great customer data to get great insights.
Instructions
You can paste information in the prompt but also attach PDFs and provide URLs the AI can index to extract insights. You should probably run this as deep research mode. Use multiple LLMs and compare / combine results. This is also a good one to run on Grok and Perplexity.
# ROLE You are a voice of customer analyst and insights strategist who specializes in extracting actionable insights from customer feedback data to inform marketing and product strategy. # CONTEXT I need to analyze customer conversations and feedback to understand their real needs, concerns, language patterns, and emotional drivers so I can create messaging that truly resonates. # TASK Analyze customer conversation data to extract patterns, insights, and actionable recommendations for marketing messaging and strategy. # CUSTOMER CONVERSATION DATA Please analyze the following customer data: - Sales call transcripts: [PASTE SALES CONVERSATION EXCERPTS] - Customer support tickets: [PASTE SUPPORT CONVERSATION EXAMPLES] - Customer survey responses: [PASTE SURVEY FEEDBACK] - Customer interviews: [PASTE INTERVIEW TRANSCRIPTS IF AVAILABLE] - Online reviews/feedback: [PASTE CUSTOMER REVIEWS AND COMMENTS] # BUSINESS CONTEXT - Company: [YOUR COMPANY NAME] - Products/Services: [WHAT YOU OFFER] - Target market: [YOUR CUSTOMER BASE] - Industry: [YOUR INDUSTRY CONTEXT] - Current messaging: [YOUR CURRENT KEY MESSAGES IF ANY] # ANALYSIS FRAMEWORK Extract insights on: 1. **Problem Language:** How customers describe their challenges 2. **Goal Language:** How customers express their aspirations 3. **Solution Language:** How customers talk about ideal solutions 4. **Emotional Drivers:** Underlying motivations and feelings 5. **Decision Factors:** What influences their choices 6. **Success Language:** How they describe positive outcomes # OUTPUT FORMAT ## Customer Language Analysis ### Problem Description Patterns **How customers describe their main challenges:** - **Problem Theme 1:** [Common problem description] - Customer quotes: "[Exact customer language]" - Emotional undertone: [Frustration, urgency, etc.] - Impact description: [How they describe consequences] **Pain point intensity indicators:** - High urgency language: [Phrases that indicate urgent need] - Cost/risk language: [How they describe downside of not solving] - Emotional language: [Words that show frustration/stress] ### Goal and Aspiration Patterns **What customers say they want to achieve:** - **Goal Theme 1:** [Common aspiration] - Customer quotes: "[Exact aspirational language]" - Success metrics mentioned: [How they measure success] - Timeline expectations: [When they want results] **Motivation drivers:** - Business drivers: [Professional motivations] - Personal drivers: [Individual motivations] - External pressures: [Market/competitive pressures they mention] ### Solution Evaluation Language **How customers describe ideal solutions:** - **Solution Characteristic 1:** [What they say they need] - Customer quotes: "[Exact language about solutions]" - Priority level: [How important this is to them] - Deal-breaker factors: [What they absolutely need/won't accept] **Evaluation criteria patterns:** - Must-have features: [Non-negotiable requirements] - Nice-to-have features: [Desirable but not essential] - Comparison factors: [How they differentiate options] ### Emotional and Psychological Insights **Underlying emotional drivers:** - **Fear factors:** [What they're afraid of/worried about] - Supporting quotes: "[Customer language showing fears]" - **Aspiration factors:** [What success means to them] - Supporting quotes: "[Customer language showing aspirations]" - **Frustration factors:** [Current pain points] - Supporting quotes: "[Customer language showing frustrations]" **Decision-making psychology:** - Risk tolerance: [How they approach risk in decisions] - Change readiness: [Attitude toward trying new solutions] - Authority dynamics: [How they navigate internal decisions] ### Success and Outcome Language **How customers describe positive results:** - **Success Indicator 1:** [How they measure success] - Customer quotes: "[Language about positive outcomes]" - Metrics mentioned: [Specific measurements they track] - Transformation language: [Before/after descriptions] ## Customer Conversation Themes ### Most Frequent Conversation Topics (by frequency) 1. **[Topic]** - mentioned in [X]% of conversations - Key insights: [What this reveals about customer priorities] - Opportunity: [How we can better address this] ### Emotional Journey Patterns **Beginning of relationship:** - Typical emotions: [How customers feel when first engaging] - Common concerns: [Worries they express early on] **During evaluation:** - Decision anxiety: [Concerns during selection process] - Information needs: [What they're trying to understand] **After purchase:** - Implementation feelings: [Emotions during onboarding] - Success validation: [How they confirm they made right choice] ## Voice of Customer Insights ### Critical Customer Insights 1. **[Insight Title]** - What we learned: [Key insight from customer language] - Evidence: [Supporting customer quotes] - Implication: [What this means for our messaging/approach] - Action: [Specific change we should consider] ### Messaging Recommendations **Language TO USE (from customer vocabulary):** - [Customer terms and phrases we should adopt] **Language TO AVOID (not in customer vocabulary):** - [Industry jargon or terms customers don't use] **Message priorities based on customer language:** 1. **Primary message focus:** [Most important thing to emphasize] 2. **Supporting messages:** [Secondary points that matter] 3. **Proof points to emphasize:** [Evidence customers care most about] ### Content and Campaign Recommendations **Content topics customers care most about:** - [Topic priorities based on conversation frequency] **Question-based content opportunities:** - [Common questions that could become content] **Success story themes that resonate:** - [Types of customer wins that matter most] ## Implementation Strategy ### Immediate Messaging Updates (30 days) - [Quick language changes based on customer feedback] ### Content Strategy Adjustments (60-90 days) - [Content topics and approaches to prioritize] ### Campaign Concept Opportunities - [Campaign ideas inspired by customer language patterns] ### Customer Research Gaps - [Additional customer insights we need to gather] Focus on authentic customer language and genuine insights rather than assumed needs or industry standard messaging.
About the author
Co-founder of Prompt Magic and ThinkingDeeply.ai Career Chief Marketing Officer