{
  "business": {
    "id": "restaurant",
    "name": "Restaurant",
    "category": "food-drink",
    "categoryName": "Food & drink",
    "number": "01",
    "format": "48-seat counter-service restaurant",
    "unit": "guests",
    "unitSingle": "guest",
    "unitPeriod": "guests per trading day",
    "summary": "A leased neighborhood restaurant with a focused menu, counter ordering and a fully paid kitchen and service team.",
    "promise": "Test the relationship between guest volume, menu contribution and a staffed location.",
    "capacity": 144,
    "volume": 100,
    "price": 26,
    "days": 26,
    "variable": 0.36,
    "rent": 6000,
    "other": 3500,
    "maintenance": 500,
    "bufferMonths": 2,
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      {
        "soc": "11-9051",
        "label": "Manager",
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        "soc": "35-2014",
        "label": "Restaurant cooks",
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      {
        "soc": "35-3023",
        "label": "Counter service team",
        "hours": 416
      },
      {
        "soc": "35-9021",
        "label": "Dishwashing team",
        "hours": 208
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        "Fit-out and installation",
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        "Kitchen equipment",
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      [
        "Furniture, POS and smallwares",
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        "Professional and setup allowance",
        8000
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      [
        "Opening inventory",
        5000
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    "depreciable": 170000,
    "trainingHours": 240,
    "capacityText": "48 seats × 3 guest turns = 144 guests per day. This is a simplified service ceiling; kitchen throughput and table timing can reduce it.",
    "exclusions": "Alcohol, delivery platforms, catering, a drive-through and a second location are outside this format.",
    "variableText": "32% ingredients and food waste plus 4% payment processing and packaging",
    "otherText": "Utilities $1,600; insurance $650; marketing $650; software, waste collection and other operating costs $600 per month.",
    "payrollNote": "Counter-service workers provide a broad service proxy. The roster uses no tipped-server credit. Hours are aggregate team coverage, not the schedule of one employee.",
    "demandQuestion": "Can the catchment deliver enough paid meals at the modeled check?",
    "demandSteps": [
      "Choose one address and count comparable lunch and dinner activity across weekdays and a weekend. Separate guests from delivery drivers and repeat observations.",
      "Build a short menu, price each recipe and measure preparation time. Reconcile waste and packaging with the 36% variable cost assumption.",
      "Map each trading period to station coverage. Test whether the kitchen can process the required guests without an extra shift."
    ],
    "launchSteps": [
      [
        "Space and equipment",
        "Obtain a lease proposal, a contractor scope and equipment quotes. Check power, ventilation, grease handling and delivery access before committing to fit-out."
      ],
      [
        "Food and premises approvals",
        "Identify the authority for the chosen address. Confirm food establishment, plan review, zoning, occupancy and fire requirements; investigate alcohol separately if the concept changes."
      ],
      [
        "Opening cash",
        "Cost the opening stock, training and an opening delay. Compare the opening ramp with observed trading patterns and retain a cash buffer."
      ]
    ],
    "risks": [
      [
        "A seat is not a customer",
        "Physical capacity places a ceiling on sales. A larger dining room does not establish demand."
      ],
      [
        "Recipe margin can disappear",
        "Waste, promotions and a different menu mix can make the effective food share higher than the modeled average."
      ],
      [
        "Fit-out can precede approvals",
        "Contractor scope and the responsible health authority need to be resolved at the address level. A state profile cannot price a conversion."
      ]
    ],
    "pilot": {
      "texas": [
        [
          "Restaurant in Austin",
          "/pilot/restaurant-austin.html"
        ]
      ],
      "florida": [
        [
          "Restaurant in Orlando",
          "/pilot/restaurant-orlando.html"
        ]
      ]
    }
  },
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    "fips": "38",
    "abbr": "ND",
    "name": "North Dakota",
    "slug": "north-dakota",
    "region": "Midwest",
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  "researchStatus": {
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