{
  "docId": "019dd923-5de0-76bd-a167-8b49aa23ef54",
  "docSlug": "a2d2d8b8d70b5202",
  "documentTitle": "Perspectives on WMATA&#x27;s ridership",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 23,
  "pageCount": 29,
  "prevPage": 22,
  "nextPage": 24,
  "slideType": "client_example",
  "function": "illustrate_case",
  "density": "balanced",
  "nDataPoints": 2,
  "notes": "The slide uses screenshots of mobile/web interfaces to contrast pricing.",
  "elementsJson": [
    "headline_text",
    "screenshot",
    "screenshot"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a167-8b49aa23ef54/23",
  "deckHref": "/decks/019dd923-5de0-76bd-a167-8b49aa23ef54",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a167-8b49aa23ef54.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a167-8b49aa23ef54#slide-23",
  "components": [
    {
      "bbox": {
        "h": 0.55,
        "w": 0.5,
        "x": 0.45,
        "y": 0.3
      },
      "kind": "image",
      "text": "Metro trip planner screenshot",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5d110675-d31c-43c0-9ff3-40e23ce40aa2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.28,
        "x": 0.08,
        "y": 0.3
      },
      "kind": "image",
      "text": "Uber app screenshot",
      "attrs": null,
      "subkind": "screenshot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "640da9e5-ab45-4f15-b5ef-aa82ee009732",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Trip fare: $4.20",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-acba-7384-b6ad-500b8df1c550",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "Actual consumer choice on October 11, 2017: Do I take Metro or Uber to work?",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cd0bd437-f6fa-451e-8fa6-3bd4011f185b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.45,
        "x": 0.5,
        "y": 0.24
      },
      "kind": "title",
      "text": "Metro's Trip Planner shows a fare of $4.20",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e80f5feb-233b-45c6-b480-bd8a79ed7e3a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.35,
        "x": 0.05,
        "y": 0.24
      },
      "kind": "title",
      "text": "Uber shows a flat fare of $4.49",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e9ead7c9-f40a-457f-8c92-a51051ddf3c2",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Trip fare",
      "numberRaw": "$4.20",
      "numberKind": "money",
      "actionTitle": "Actual consumer choice on October 11, 2017: Do I take Metro or Uber to work?",
      "calloutText": null,
      "numberScale": null,
      "numberValue": 4.2,
      "metricFamily": "other",
      "numberCurrency": "$"
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1474-7621-ae48-c1c5cb01ab1d",
      "evidence": "Title 'Actual consumer choice on October 11, 2017: Metro or Uber?'",
      "confidence": 80
    },
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1474-7621-ae48-c50ad605a978",
      "evidence": "Specific date and named route make the choice tangible.",
      "confidence": 90
    },
    {
      "name": "Singularity Effect",
      "slug": "singularity-effect",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1474-7621-ae48-ca6e532c2315",
      "evidence": "Single concrete consumer-decision example over abstract stats.",
      "confidence": 80
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 25,
      "from": 12,
      "beatId": "019dd95a-0702-74a3-87df-872d1ff589d5",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Demographics, telework, mobility value chain, robotaxi cost, Uber-vs-Metro proof points.",
      "position": 4,
      "confidence": 82,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 25,
      "from": 9,
      "beatId": "019dd95a-0702-74a3-87df-9235ed54cf8b",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "Macro-forces reshaping ridership outlook.",
      "position": 2,
      "confidence": 70,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 23,
      "from": 19,
      "name": "Tale Two Worlds",
      "slug": "04-tale-two-worlds",
      "bestFor": "Competitive analysis, benchmarking, case for change",
      "matchId": "019dd95a-088b-72c8-b7e6-994945674bd6",
      "evidence": "Mobility value chain (p.19), cost-per-mile robotaxi vs transit (p.20), city-type 2x2 (p.21), Metro vs Uber price-off (p.22-23).",
      "position": 5,
      "objective": "Contrast the legacy transit world with the emerging shared/autonomous mobility world",
      "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
      "confidence": 80,
      "description": "Show the gap between two states to drive urgency or highlight opportunity"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}