{
  "business": {
    "id": "coffee-shop",
    "name": "Coffee Shop",
    "category": "food-drink",
    "categoryName": "Food & drink",
    "number": "02",
    "format": "Independent coffee shop without a drive-through",
    "unit": "orders",
    "unitSingle": "order",
    "unitPeriod": "orders per trading day",
    "summary": "A compact leased coffee shop selling espresso drinks, brewed coffee and a limited bought-in food selection.",
    "promise": "Test order throughput, average ticket and paid counter coverage before choosing a lease.",
    "capacity": 240,
    "volume": 160,
    "price": 8.5,
    "days": 26,
    "variable": 0.34,
    "rent": 3000,
    "other": 2300,
    "maintenance": 250,
    "bufferMonths": 2,
    "receivableDays": 0,
    "roles": [
      {
        "soc": "11-9051",
        "label": "Manager coverage",
        "hours": 120
      },
      {
        "soc": "35-3023",
        "label": "Barista and counter team",
        "hours": 400
      }
    ],
    "opening": [
      [
        "Fit-out, plumbing and electrics",
        45000
      ],
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        "Coffee and refrigeration equipment",
        26000
      ],
      [
        "Furniture, POS and smallwares",
        11000
      ],
      [
        "Professional and setup allowance",
        5000
      ],
      [
        "Opening inventory",
        2500
      ]
    ],
    "depreciable": 82000,
    "trainingHours": 120,
    "capacityText": "30 orders per hour × 8 selling hours = 240 orders per day. This assumes a workable bar layout; actual morning peaks need a queue and staffing check.",
    "exclusions": "A drive-through, roasting facility, full kitchen, wholesale production and delivery commissions are outside this format.",
    "variableText": "30% drinks, bought-in food and waste plus 4% payment processing and disposables",
    "otherText": "Utilities $700; insurance $350; marketing $500; software, cleaning and other operating costs $750 per month.",
    "payrollNote": "BLS does not publish a separate barista occupation in this selection. Fast Food and Counter Workers is a broad proxy. The model does not subtract anticipated customer tips.",
    "demandQuestion": "Can repeat visits and a realistic ticket support the morning and afternoon roster?",
    "demandSteps": [
      "Observe the exact frontage in half-hour intervals. Count accessible pedestrian activity, parking turnover and competitor queues without treating every passerby as a buyer.",
      "Build the ticket from a drink and food mix. Distinguish a drink price from the average amount spent per order.",
      "Time a realistic drink sequence and include cleanup, receiving and breaks. Check the busiest half-hour as well as total daily orders."
    ],
    "launchSteps": [
      [
        "Site and bar layout",
        "Obtain a lease proposal and equipment list. Verify water treatment, drainage, electrical capacity and service access for the espresso and refrigeration setup."
      ],
      [
        "Food service scope",
        "Identify the local food authority and check the requirements for the actual preparation scope, seating and premises. Adding a kitchen can change both the budget and the approval path."
      ],
      [
        "Repeat demand",
        "Test products and prices with a small paid trial or observed comparable trade. Build opening cash around the time required to establish repeat customers."
      ]
    ],
    "risks": [
      [
        "The ticket is a mix",
        "A menu full of higher-priced drinks does not guarantee an $8.50 average order. Food attachment and discounts matter."
      ],
      [
        "Peak time sets staffing",
        "Eight quiet hours cannot compensate for a bottleneck during the main commuter rush."
      ],
      [
        "Small premises still need services",
        "Plumbing, electricity and equipment installation can dominate the opening budget even when seating is limited."
      ]
    ],
    "pilot": {
      "texas": [
        [
          "Coffee Shop in Austin",
          "/pilot/coffee-shop-austin.html"
        ]
      ]
    }
  },
  "state": {
    "fips": "53",
    "abbr": "WA",
    "name": "Washington",
    "slug": "washington",
    "region": "West",
    "population2025": 8001020,
    "population2024": 7927958,
    "populationChange": 73062,
    "populationGrowthPct": 0.9215740043022391,
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        "hourly_median": 45.77,
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        "hourly_p25": 38.18,
        "hourly_p75": 53.39,
        "employment": 1180,
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          "file": "bls-state-2025.zip",
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      },
      "35-2014": {
        "soc": "35-2014",
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        "hourly_median": 22.5,
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      "35-9021": {
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      "37-1011": {
        "soc": "37-1011",
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      "37-2011": {
        "soc": "37-2011",
        "title": "Janitors and Cleaners, Except Maids and Housekeeping Cleaners",
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    "governmentDirectory": "https://www.usa.gov/states/washington"
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    "nationalWages": "https://www.bls.gov/oes/special-requests/oesm25nat.zip",
    "population": "https://www2.census.gov/programs-surveys/popest/datasets/2020-2025/state/totals/NST-EST2025-ALLDATA.csv",
    "wageDefinitions": "https://www.bls.gov/oes/2025/may/oes_tec.htm"
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  "scope": "State observations plus authored commercial assumptions; not verified local startup costs.",
  "researchStatus": {
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    "financialResultStatus": "legacy_reference_assumptions"
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