Voice of Customer Synthesizer
# 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.