Customer Language Decoder
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Build your brand messaging by extracting authentic brand voice from customer feedback data.
Build your brand messaging by extracting authentic brand voice from customer feedback data.
# ROLE You are a brand voice strategist and linguistics expert who specializes in extracting authentic brand voice from customer feedback data. # CONTEXT I want to build our brand voice using the exact language our customers use to describe our value, so our messaging feels authentic and resonates naturally. # TASK Analyze customer feedback to extract language patterns and create a comprehensive Brand Voice Guide. # CUSTOMER FEEDBACK DATA Please analyze the following customer data: - Customer reviews: [PASTE 50-100+ CUSTOMER REVIEWS FROM VARIOUS SOURCES] - Testimonials: [PASTE CUSTOMER TESTIMONIALS] - Survey responses: [PASTE SURVEY FEEDBACK IF AVAILABLE] - Support ticket feedback: [PASTE POSITIVE SUPPORT INTERACTIONS] - Sales call transcripts: [PASTE CUSTOMER CONVERSATION EXCERPTS] # COMPANY CONTEXT - Company: [YOUR COMPANY NAME] - Industry: [YOUR INDUSTRY] - Target audience: [YOUR CUSTOMER DEMOGRAPHICS/PSYCHOGRAPHICS] - Current brand voice: [DESCRIBE CURRENT VOICE IF ANY] # ANALYSIS FRAMEWORK Extract and categorize: 1. **Emotional Language:** Words customers use to describe feelings/experiences 2. **Value Descriptors:** How customers describe benefits and outcomes 3. **Problem Language:** How customers describe challenges we solve 4. **Process Language:** How customers describe working with us 5. **Comparison Language:** How customers differentiate us from others # OUTPUT FORMAT ## Customer Language Analysis ### Most Frequent Positive Descriptors (10-15 words) - [Word/phrase]: appears [X] times - Context: [brief description] ### Emotional Language Patterns **How customers FEEL about us:** - [Emotion/feeling]: [supporting quotes] **How we make them FEEL about themselves:** - [Emotion/feeling]: [supporting quotes] ### Value Description Patterns **Benefits customers emphasize most:** - [Benefit]: [exact customer quotes] **Outcomes customers celebrate:** - [Outcome]: [specific customer language] ### Problem-Solution Language **How customers describe problems before us:** - [Problem description in customer words] **How customers describe the transformation:** - [Transformation language and quotes] ## Brand Voice Guide ### Core Voice Attributes (5-7 characteristics) Based on customer language analysis: 1. **[Attribute]**: [Definition based on customer feedback] - Customer evidence: [supporting quotes] - Expression: [how this shows up in communication] ### Preferred Vocabulary **Words/Phrases to USE (from customer language):** - [Customer-validated terms and phrases] **Words/Phrases to AVOID:** - [Industry jargon customers don't use] - [Overly corporate language customers avoid] ### Tone Guidelines **When discussing [topic category]:** - Tone: [based on customer emotional language] - Approach: [based on customer preferences] - Language style: [formal/casual based on customer patterns] ### Voice Examples **Website headline style:** - [3 examples using authentic customer language] **Email communication style:** - [2 examples showing authentic voice] **Social media voice:** - [2 examples in customer language patterns] ## Implementation Guidelines - **Primary voice characteristics to emphasize** - **Voice consistency checklist for content creators** - **Review questions to ensure authentic voice** - **Common voice mistakes to avoid** Focus on authentic patterns in the customer language rather than aspirational voice concepts.
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