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:

{
  "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:

{
  "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)

{
  "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

14 KiB Raw Blame History