# Wave 0: Sector Brief Generation Prompt ## Purpose Generate a **sector brief** that provides alignment context for classification agents. This brief describes what customers care about in this sector — NOT how to classify it, NOT what primitives to use, NOT what solutions exist. ## Critical Guardrails **DO:** - Describe customer concerns in plain language - Use real review language patterns - Focus on what customers judge, complain about, praise - Include industry-specific terminology - Identify mode-specific concerns (dine-in vs delivery, etc.) **DO NOT:** - Assign primitive codes - Suggest priorities or weights - Propose solutions or playbooks - Define new categories or dimensions - Include KPIs or metrics - Make up statistics --- ## Input You will receive: ```json { "sector_code": "FOOD_DINING", "sector_name": "Food & Dining", "description": "Restaurants, cafes, bars, bakeries, food trucks, catering services", "sample_business_types": [ "Restaurants", "Cafes & Coffee", "Bars & Nightlife", "Bakeries & Desserts", "Food Services", "Quick Service" ] } ``` --- ## Output Schema Return ONLY valid JSON matching this schema: ```json { "sector_code": "string", "sector_name": "string", "generated_at": "ISO timestamp", "version": "1.0", "what_customers_judge": { "description": "The primary dimensions customers evaluate in this sector", "items": [ { "aspect": "string (2-5 words)", "importance": "critical | high | moderate", "why_it_matters": "string (1 sentence)" } ] }, "critical_pain_points": { "description": "What damages reputation most severely in this sector", "items": [ { "pain_point": "string (2-5 words)", "typical_language": ["array of phrases customers actually use"], "reputation_impact": "severe | significant | moderate" } ] }, "common_praise": { "description": "What earns customer loyalty and positive reviews", "items": [ { "praise_area": "string (2-5 words)", "typical_language": ["array of phrases customers actually use"], "loyalty_impact": "high | moderate" } ] }, "industry_terminology": { "description": "Domain-specific vocabulary used in this sector", "staff_terms": ["waiter", "server", "bartender", "chef"], "product_terms": ["dish", "meal", "appetizer", "entree"], "process_terms": ["reservation", "seating", "check", "tab"], "quality_terms": ["fresh", "authentic", "homemade"], "problem_terms": ["cold", "undercooked", "wrong order"] }, "mode_specific_concerns": { "description": "Different service modes have different customer priorities", "modes": [ { "mode": "string (e.g., 'Dine-in', 'Takeout', 'Delivery')", "primary_concerns": ["array of top concerns for this mode"], "unique_pain_points": ["pain points specific to this mode"] } ] }, "what_is_actionable": { "description": "Feedback that businesses can realistically act on", "actionable_examples": [ { "feedback_type": "string", "example": "string", "action_owner": "string (role/team that can fix it)" } ], "not_actionable_examples": [ { "feedback_type": "string", "example": "string", "why_not_actionable": "string" } ] }, "sector_specific_signals": { "description": "Signals that have different meaning in this sector vs others", "examples": [ { "signal": "string", "meaning_in_this_sector": "string", "contrast_with": "string (how it differs in other sectors)" } ] } } ``` --- ## Example Output (Food & Dining) ```json { "sector_code": "FOOD_DINING", "sector_name": "Food & Dining", "generated_at": "2026-01-31T10:00:00Z", "version": "1.0", "what_customers_judge": { "description": "The primary dimensions customers evaluate in this sector", "items": [ { "aspect": "Food taste and quality", "importance": "critical", "why_it_matters": "The core product - customers primarily visit for the food experience" }, { "aspect": "Service speed and attentiveness", "importance": "critical", "why_it_matters": "Direct impact on dining experience and whether they feel valued" }, { "aspect": "Cleanliness and hygiene", "importance": "critical", "why_it_matters": "Health/safety concern that can override all other positives if failed" }, { "aspect": "Value for money", "importance": "high", "why_it_matters": "Portion size and quality relative to price affects return intent" }, { "aspect": "Ambiance and atmosphere", "importance": "moderate", "why_it_matters": "Sets expectations and affects overall enjoyment, especially for special occasions" } ] }, "critical_pain_points": { "description": "What damages reputation most severely in this sector", "items": [ { "pain_point": "Food safety incidents", "typical_language": ["got sick", "food poisoning", "found hair", "bug in food", "raw chicken"], "reputation_impact": "severe" }, { "pain_point": "Cold or wrong food", "typical_language": ["food was cold", "wrong order", "not what I ordered", "missing items"], "reputation_impact": "significant" }, { "pain_point": "Rude or dismissive staff", "typical_language": ["rude waiter", "ignored us", "attitude", "condescending", "eye roll"], "reputation_impact": "significant" }, { "pain_point": "Excessive wait times", "typical_language": ["waited forever", "40 minutes for food", "never came back", "forgotten"], "reputation_impact": "significant" }, { "pain_point": "Dirty facilities", "typical_language": ["dirty bathroom", "sticky table", "flies everywhere", "unclean"], "reputation_impact": "severe" } ] }, "common_praise": { "description": "What earns customer loyalty and positive reviews", "items": [ { "praise_area": "Exceptional food quality", "typical_language": ["best I've ever had", "delicious", "perfectly cooked", "authentic", "fresh ingredients"], "loyalty_impact": "high" }, { "praise_area": "Attentive friendly service", "typical_language": ["amazing server", "made us feel welcome", "remembered us", "went above and beyond"], "loyalty_impact": "high" }, { "praise_area": "Great value", "typical_language": ["huge portions", "great price", "worth every penny", "can't beat it"], "loyalty_impact": "high" }, { "praise_area": "Perfect ambiance", "typical_language": ["beautiful setting", "romantic", "cozy atmosphere", "perfect for date night"], "loyalty_impact": "moderate" } ] }, "industry_terminology": { "description": "Domain-specific vocabulary used in this sector", "staff_terms": ["server", "waiter", "waitress", "host", "hostess", "bartender", "chef", "cook", "manager", "busboy"], "product_terms": ["dish", "meal", "appetizer", "entree", "main course", "dessert", "special", "daily special", "sides"], "process_terms": ["reservation", "walk-in", "seated", "table", "check", "bill", "tab", "tip", "takeout", "to-go", "delivery"], "quality_terms": ["fresh", "homemade", "authentic", "crispy", "tender", "juicy", "flavorful", "seasoned", "cooked to perfection"], "problem_terms": ["cold", "lukewarm", "overcooked", "undercooked", "raw", "burnt", "soggy", "bland", "stale", "greasy"] }, "mode_specific_concerns": { "description": "Different service modes have different customer priorities", "modes": [ { "mode": "Dine-in", "primary_concerns": ["ambiance", "service attentiveness", "wait time to be seated", "table cleanliness"], "unique_pain_points": ["loud neighbors", "rushed out", "ignored by server", "wrong seating"] }, { "mode": "Takeout", "primary_concerns": ["order accuracy", "ready on time", "packaging quality", "ease of pickup"], "unique_pain_points": ["order not ready", "missing items", "cold by pickup", "wrong order in bag"] }, { "mode": "Delivery", "primary_concerns": ["delivery time", "food temperature", "order accuracy", "packaging integrity"], "unique_pain_points": ["arrived cold", "leaked in bag", "missing sauces", "driver got lost", "late delivery"] }, { "mode": "Catering", "primary_concerns": ["on-time setup", "quantity accuracy", "presentation", "dietary accommodation"], "unique_pain_points": ["not enough food", "late arrival", "wrong items", "poor presentation"] } ] }, "what_is_actionable": { "description": "Feedback that businesses can realistically act on", "actionable_examples": [ { "feedback_type": "Specific staff behavior", "example": "Our server John was rude and rolled his eyes when we asked for substitutions", "action_owner": "Front of house manager" }, { "feedback_type": "Food quality issue", "example": "The chicken was undercooked - pink in the middle", "action_owner": "Kitchen manager / Chef" }, { "feedback_type": "Facility issue", "example": "Men's bathroom was out of soap and paper towels", "action_owner": "Facilities / Shift manager" }, { "feedback_type": "Process issue", "example": "Waited 20 minutes to get our check after flagging the server twice", "action_owner": "FOH manager / Training" } ], "not_actionable_examples": [ { "feedback_type": "Subjective taste preference", "example": "I just don't like spicy food", "why_not_actionable": "Personal preference, not a quality issue" }, { "feedback_type": "Location/parking", "example": "Hard to find parking in this area", "why_not_actionable": "External factor beyond restaurant control" }, { "feedback_type": "Price objection without context", "example": "Too expensive", "why_not_actionable": "Vague, no specifics on what was mispriced" } ] }, "sector_specific_signals": { "description": "Signals that have different meaning in this sector vs others", "examples": [ { "signal": "long wait", "meaning_in_this_sector": "Usually negative - food taking too long, being ignored", "contrast_with": "Healthcare: expected and sometimes indicates thoroughness" }, { "signal": "portion size", "meaning_in_this_sector": "Critical value indicator - directly affects perceived value", "contrast_with": "Healthcare: not applicable" }, { "signal": "noisy", "meaning_in_this_sector": "Context-dependent - negative for fine dining, expected at sports bars", "contrast_with": "Professional services: always negative" } ] } } ``` --- ## Sectors to Generate Generate one brief for each of these L1 sectors: | Code | Sector Name | Sample Business Types | |------|-------------|----------------------| | `FOOD_DINING` | Food & Dining | Restaurants, Cafes, Bars, Bakeries, Catering | | `RETAIL_SHOPPING` | Retail & Shopping | Clothing, Electronics, Grocery, Specialty stores | | `AUTOMOTIVE` | Automotive | Dealers, Repair, Car Wash, Parts | | `HEALTHCARE` | Healthcare | Hospitals, Clinics, Dental, Mental Health, Veterinary | | `PROFESSIONAL_SERVICES` | Professional Services | Legal, Accounting, Consulting, Marketing | | `HOME_SERVICES` | Home Services | Plumbing, Electrical, HVAC, Cleaning, Landscaping | | `PERSONAL_SERVICES` | Personal Services | Salons, Spas, Fitness, Tattoo | | `EDUCATION` | Education | Schools, Tutoring, Driving Schools, Language | | `HOSPITALITY_TRAVEL` | Hospitality & Travel | Hotels, Tours, Travel Agencies | | `ENTERTAINMENT` | Entertainment | Movies, Museums, Amusement Parks, Sports | | `FINANCE_INSURANCE` | Finance & Insurance | Banks, Insurance, Investment, Loans | | `REAL_ESTATE` | Real Estate | Agents, Property Management, Appraisers | | `INDUSTRIAL` | Industrial | Manufacturing, Construction, Warehousing | | `TRANSPORTATION` | Transportation | Taxis, Moving, Shipping, Courier | | `GOVERNMENT` | Government | DMV, Courts, Public Services | | `EVENTS_WEDDINGS` | Events & Weddings | Wedding Venues, Planners, DJ, Photography | | `RELIGIOUS` | Religious | Churches, Temples, Mosques, Spiritual | | `NONPROFIT` | Non-Profit | Charities, Community Organizations | | `TECHNOLOGY` | Technology | IT Services, Software, Web Design | | `PETS_ANIMALS` | Pets & Animals | Pet Stores, Grooming, Boarding, Training | --- ## Usage This brief will be injected into Wave 1 and Wave 2 prompts as alignment context: ``` You are configuring primitives for: {sector_name} ## Sector Context (READ-ONLY, do not modify or extend) {sector_brief_json} ## Your Task Using the above context to understand what matters in this sector, configure the following primitives... ``` --- ## Validation Before returning, verify: - [ ] All arrays have 3-10 items (not empty, not excessive) - [ ] `typical_language` arrays contain realistic review phrases - [ ] No primitive codes, priorities, or solutions appear anywhere - [ ] Industry terminology is accurate for this sector - [ ] Modes are appropriate for the sector (not all sectors have delivery) - [ ] Actionable vs not-actionable distinction is clear