{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 862,
  "pageSize": 18,
  "pageCount": 17777,
  "rows": [
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 11,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses historical data to frame expectations for future recovery, specifically referencing the 'V-shaped' recovery model.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/11",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-11",
      "loopMatches": [
        {
          "to": 12,
          "from": 6,
          "name": "Maturity Curve",
          "slug": "36-maturity-curve",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "matchId": "ee71fe44-a901-425f-9627-735e11d1f64e",
          "evidence": "The deck discusses industry trends and case studies.",
          "position": 1,
          "objective": "To provide context and understanding of the ridership and revenue impact.",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "confidence": 0.6,
          "description": "Show where you are on a progression and what it takes to reach the next level"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "2932cc36-4901-469c-b10c-d48d32b81a5e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "The deck discusses industry trends, data tables, and case studies highlighting the impact of COVID-19 on ridership.",
          "position": 1,
          "confidence": 0.8,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 12,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "The slide outlines considerations for modeling a COVID-19 curve.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/12",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-12",
      "loopMatches": [
        {
          "to": 12,
          "from": 6,
          "name": "Maturity Curve",
          "slug": "36-maturity-curve",
          "bestFor": "Digital transformation, capability building, benchmarking",
          "matchId": "ee71fe44-a901-425f-9627-735e11d1f64e",
          "evidence": "The deck discusses industry trends and case studies.",
          "position": 1,
          "objective": "To provide context and understanding of the ridership and revenue impact.",
          "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
          "confidence": 0.6,
          "description": "Show where you are on a progression and what it takes to reach the next level"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 12,
          "from": 8,
          "beatId": "2932cc36-4901-469c-b10c-d48d32b81a5e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Problem & Complication",
          "beatSlug": "consultants-gambit-problem-complication",
          "evidence": "The deck discusses industry trends, data tables, and case studies highlighting the impact of COVID-19 on ridership.",
          "position": 1,
          "confidence": 0.8,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 13,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The slide uses a dual-column layout to present a chart on the left and qualitative assumptions on the right.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/13",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-13",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 13,
          "beatId": "bea7e428-7853-44b1-b1e8-87a647d4ae0e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "The deck presents scenario analysis, fare revenue assumptions, and modeling.",
          "position": 2,
          "confidence": 0.8,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 14,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The slide presents two distinct scenarios (Moderate vs Severe) with monthly projections from March to December 2020.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/14",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-14",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 13,
          "beatId": "bea7e428-7853-44b1-b1e8-87a647d4ae0e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "The deck presents scenario analysis, fare revenue assumptions, and modeling.",
          "position": 2,
          "confidence": 0.8,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 15,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The chart shows traffic as a percentage of base level traffic. The scenarios are based on COVID-19 containment assumptions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/15",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-15",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 13,
          "beatId": "bea7e428-7853-44b1-b1e8-87a647d4ae0e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "The deck presents scenario analysis, fare revenue assumptions, and modeling.",
          "position": 2,
          "confidence": 0.8,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 16,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The slide compares two scenarios based on ridership percentages and revenue loss projections.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/16",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-16",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 13,
          "beatId": "bea7e428-7853-44b1-b1e8-87a647d4ae0e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "The deck presents scenario analysis, fare revenue assumptions, and modeling.",
          "position": 2,
          "confidence": 0.8,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 17,
      "slideType": "scenario_analysis",
      "function": "quantify_impact",
      "notes": "The slide uses a dual-panel line chart to compare two scenarios (vaccine availability) across two metrics (ridership and traffic).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/17",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-17",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 17,
          "from": 13,
          "beatId": "bea7e428-7853-44b1-b1e8-87a647d4ae0e",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Solution & Approach",
          "beatSlug": "consultants-gambit-solution-approach",
          "evidence": "The deck presents scenario analysis, fare revenue assumptions, and modeling.",
          "position": 2,
          "confidence": 0.8,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 18,
      "slideType": "table_of_contents",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/18",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-18",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 19,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "The slide uses a simple additive framework to distinguish between two primary revenue streams and their respective forecasting drivers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/19",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-19",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 20,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The slide uses a structured table to map revenue archetypes to specific calculation methodologies and applicable tax categories.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/20",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-20",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 21,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The slide uses a structured table format to map revenue categories to analytical methods and key assumptions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/21",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-21",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 22,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The chart illustrates a decline in employment starting in Q1 2020, with a steeper drop by Q2 2020 and a continued gradual decline through Q4 2020.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/22",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-22",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 23,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The table compares MRT-1, MRT-2, and Urban tax components across the Great Recession period.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/23",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-23",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 24,
      "slideType": "scenario_analysis",
      "function": "compare_options",
      "notes": "The slide uses a 3x3 matrix structure to categorize economic outcomes based on two axes: Virus Spread/Public Health Response and Economic Policy Response.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/24",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-24",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 25,
      "slideType": "scenario_analysis",
      "function": "analyze_data",
      "notes": "The slide highlights Scenario A1 and A3 against historical benchmarks like the 73 oil shock, 81 recession, and the Global Financial Crisis.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/25",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-25",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 26,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The chart shows two scenarios for traffic recovery through 2020, used as a basis for tax modeling.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/26",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-26",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 27,
      "slideType": "data_table",
      "function": "quantify_impact",
      "notes": "The table uses parentheses to denote negative values (losses).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/27",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-27",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "docSlug": "4dd6f8edb8b68a13",
      "documentTitle": "MTA Financial Impact COVID-19",
      "authorId": "McKinsey",
      "authorName": "McKinsey",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "strategy_consulting",
      "sourceTypeLabel": "Strategy consulting",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.779,
      "pageNumber": 28,
      "slideType": "scenario_analysis",
      "function": "quantify_impact",
      "notes": "The slide uses a table format to present qualitative assumptions and quantitative financial impacts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/28",
      "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7",
      "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-28",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 28,
          "from": 20,
          "beatId": "9c8f7358-7a32-402f-bc52-271b7f1acad2",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Evidence & Proof",
          "beatSlug": "consultants-gambit-evidence-proof",
          "evidence": "The deck provides appendix methodology, data tables, and scenario analysis for tax and subsidy revenue.",
          "position": 3,
          "confidence": 0.8,
          "parentBeatName": "Evidence",
          "parentBeatSlug": "evidence"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}