{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 259, "pageSize": 60, "pageCount": 5333, "rows": [ { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 58, "slideType": "transition", "function": "state_next_steps", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/58", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-58", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 59, "slideType": "initiative_list", "function": "plan_implementation", "notes": "The slide acts as a blank template for internal workshops.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/59", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-59", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 60, "slideType": "section_divider", "function": "transition", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/60", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-60", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 61, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a grid layout to present 8 distinct strategic pillars.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/61", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-61", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 62, "slideType": "initiative_list", "function": "present_framework", "notes": "The slide uses a structured table format to categorize strategic enabling actions for hydrogen development.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/62", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-62", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 63, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a structured table format to present strategic recommendations for hydrogen market development.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/63", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-63", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 64, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a structured table format to categorize strategic actions.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/64", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-64", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-2a08d768646b", "docSlug": "5a3b70353c277846", "documentTitle": "Chilean Hydrogen Pathway", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 65, "slideType": "initiative_list", "function": "present_solution", "notes": "The slide uses a tabular format to map domains to strategic principles and international precedents.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2a08d768646b/65", "deckHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2a08d768646b#slide-65", "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": 1, "slideType": "disclaimer", "function": "other", "notes": null, "imagePath": "https://imgproxy.kitesheet.com/iysKBbCDz89rPIT0H_HfLEg4YHgcEWRh43umRD_uFMk/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZGQ2ZjhlZGI4YjY4YTEzL3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/1", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-1", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": "https://imgproxy.kitesheet.com/y03WhvNwKVixWvUWEuEAqJ8YtBTVzwqgyxKZv4l9ggA/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZGQ2ZjhlZGI4YjY4YTEzL3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/JXZQjf_PwpK9hp0rnBTV9GuUFEcAIjCZgXJLwh7ytnE/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZGQ2ZjhlZGI4YjY4YTEzL3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/OSKrYFnNWFHx5cgydrRmw9WTopdod62duEg7l5CXQqQ/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZGQ2ZjhlZGI4YjY4YTEzL3AwMDEucG5n" }, { "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": 2, "slideType": "cover", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/2", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-2", "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": 3, "slideType": "executive_summary", "function": "summarize", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/3", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-3", "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": 4, "slideType": "disclaimer", "function": "other", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/4", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-4", "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": 5, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/5", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-5", "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": 6, "slideType": "situation_overview", "function": "establish_context", "notes": "The slide uses a simple additive framework to explain the revenue model components.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/6", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-6", "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": 7, "from": 6, "beatId": "f554308f-d4b1-44dc-a4a8-4fef4a6ff336", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The deck provides an overview of revenue components and forecast approach.", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 7, "slideType": "appendix_methodology", "function": "present_framework", "notes": "The slide uses a causal-chain logic to explain the methodology behind ridership forecasting during the COVID-19 pandemic.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/7", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-7", "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": 7, "from": 6, "beatId": "f554308f-d4b1-44dc-a4a8-4fef4a6ff336", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Situation & Context", "beatSlug": "consultants-gambit-situation-context", "evidence": "The deck provides an overview of revenue components and forecast approach.", "position": 0, "confidence": 0.8, "parentBeatName": "Setup", "parentBeatSlug": "setup" } ], "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": 8, "slideType": "industry_trends", "function": "diagnose", "notes": "The chart categorizes transit systems by mode (Commuter Rail, Heavy Rail, Bus, Mix) and shows the date of data collection.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/8", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-8", "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": 9, "slideType": "data_table", "function": "analyze_data", "notes": "The slide uses two different chart types to illustrate the same trend: a line chart with data labels for the initial drop and a multi-line time series chart for the sustained period.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/9", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-9", "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": 10, "slideType": "case_study", "function": "analyze_data", "notes": "The slide uses a dual-axis line chart to compare transit modes against unemployment rates over a 48-month period.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/10", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-10", "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": 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 }, { "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": 29, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/29", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-29", "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": 30, "slideType": "appendix_methodology", "function": "present_framework", "notes": "The slide compares two distinct estimation approaches with specific dollar ranges for each.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/30", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-30", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 31, "slideType": "financial_analysis", "function": "quantify_impact", "notes": "The slide uses a bottom-up approach to estimate COVID-19 related incremental costs for transit agencies.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/31", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-31", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 32, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/32", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-32", "loopMatches": [], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 33, "slideType": "financial_analysis", "function": "analyze_data", "notes": "The slide uses parentheses to denote negative financial impacts (losses).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/33", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-33", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 34, "slideType": "data_table", "function": "analyze_data", "notes": "Includes footnotes regarding data limitations and methodology.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/34", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-34", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 35, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/35", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-35", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 36, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses a numbered list to structure the argument, moving from context (NYC economy) to specific infrastructure importance (MTA) to current crisis impact and finally to investment potential.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/36", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-36", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 37, "slideType": "comparison_table", "function": "compare_peers", "notes": "The slide uses two donut charts to compare market share across two metrics (ridership and revenue).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/37", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-37", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "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": 38, "slideType": "impact_sizing", "function": "quantify_impact", "notes": "The slide uses BEA multipliers to estimate direct, indirect, and induced economic impacts.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-2e6db8a38ad7/38", "deckHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-2e6db8a38ad7#slide-38", "loopMatches": [ { "to": 38, "from": 33, "name": "Cost Of Inaction", "slug": "27-cost-of-inaction", "bestFor": "Urgent budget requests, compliance, risk mitigation", "matchId": "29fd2f99-4449-408c-80c0-5bf8353696af", "evidence": "The deck presents the potential effects of spending and the impact of replacing lost operating funds.", "position": 0, "objective": "To highlight the potential effects of not addressing the financial shortfalls.", "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point", "confidence": 0.7, "description": "Quantify what happens if the audience does nothing" } ], "arcBeatMatches": [ { "to": 38, "from": 30, "beatId": "a5b5903d-deb2-4f78-889a-4e3e31789704", "arcName": "The Consultant's Gambit", "arcSlug": "consultants-gambit", "beatName": "Impact & Next Steps", "beatSlug": "consultants-gambit-impact-next-steps", "evidence": "The deck discusses financial analysis, summary of financial impacts, and possible effects of spending.", "position": 4, "confidence": 0.8, "parentBeatName": "Resolution", "parentBeatSlug": "resolution" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 1, "slideType": "cover", "function": "front_matter", "notes": null, "imagePath": "https://imgproxy.kitesheet.com/M5qEyEPMGDd50D-_mDTU4bTYUzEby5d9s9LZ_7HAYFE/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTFmOTNkZjgzYjdkNDdiL3AwMDEuanBn", "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/1", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-1", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": "https://imgproxy.kitesheet.com/aO5rVmn_rKLIASFeDYuNwdGJkVj9s06jAn--7d3jisM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTFmOTNkZjgzYjdkNDdiL3AwMDEucG5n", "thumbSrc": "https://imgproxy.kitesheet.com/GM_LWsgSMvsXafU9pFfh-nYZd1pABDzfDBLlaH1GZcU/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTFmOTNkZjgzYjdkNDdiL3AwMDEuanBn", "thumbSrcAlt": "https://imgproxy.kitesheet.com/0vp8m-qQQyhhOKjRFYczQWS7OahB4Bn-KH3N7DAdb-k/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy9kMTFmOTNkZjgzYjdkNDdiL3AwMDEucG5n" }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 2, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/2", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-2", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 3, "slideType": "market_landscape", "function": "analyze_data", "notes": "The slide uses a bubble chart to visualize industry sectors, with bubble size representing total jobs. The right side provides qualitative and quantitative evidence for the sector's importance.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/3", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-3", "loopMatches": [ { "to": 5, "from": 3, "name": "Logic Chain", "slug": "01-logic-chain", "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis", "matchId": "23bfe0d6-4bc6-4c53-953e-564d5a4ab618", "evidence": "The document presents data and statistics to support the current state of the transportation sector in DC.", "position": 0, "objective": "Understand the current state of the transportation sector in DC", "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)", "confidence": 0.6, "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion" } ], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 4, "slideType": "data_table", "function": "analyze_data", "notes": "The table uses a heatmap-style color coding for data values. The 'Transportation and warehousing' row is specifically highlighted in orange.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/4", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-4", "loopMatches": [ { "to": 5, "from": 3, "name": "Logic Chain", "slug": "01-logic-chain", "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis", "matchId": "23bfe0d6-4bc6-4c53-953e-564d5a4ab618", "evidence": "The document presents data and statistics to support the current state of the transportation sector in DC.", "position": 0, "objective": "Understand the current state of the transportation sector in DC", "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)", "confidence": 0.6, "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion" } ], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 5, "slideType": "data_table", "function": "analyze_data", "notes": "The table uses a heatmap-style color coding for cells based on value intensity.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/5", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-5", "loopMatches": [ { "to": 5, "from": 3, "name": "Logic Chain", "slug": "01-logic-chain", "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis", "matchId": "23bfe0d6-4bc6-4c53-953e-564d5a4ab618", "evidence": "The document presents data and statistics to support the current state of the transportation sector in DC.", "position": 0, "objective": "Understand the current state of the transportation sector in DC", "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)", "confidence": 0.6, "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion" } ], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 6, "slideType": "data_table", "function": "analyze_data", "notes": "The slide highlights the intersection of high automation risk and high Black worker representation in transportation roles.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/6", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-6", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 7, "slideType": "table_of_contents", "function": "front_matter", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/7", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-7", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 8, "slideType": "problem_statement", "function": "frame_problem", "notes": "The slide uses a structured table format to present diagnostic data points for each of the five identified challenges.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/8", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-8", "loopMatches": [ { "to": 11, "from": 8, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "ba842ba8-5711-4ebd-baae-427dd4bf5fc6", "evidence": "The document presents a clear problem statement and highlights the complications faced by the transportation sector in DC.", "position": 1, "objective": "Identify the challenges faced by the transportation sector in DC", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 0.7, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 8, "from": 8, "beatId": "a84e2f23-db6b-4bff-bb43-9b8de44fcde6", "arcName": "Problem-Agitate-Solution", "arcSlug": "problem-agitate-solution", "beatName": "Problem Statement", "beatSlug": null, "evidence": "The document presents a clear problem statement, highlighting the five core challenges faced by the transportation sector in DC.", "position": 0, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 9, "slideType": "data_table", "function": "analyze_data", "notes": "The chart uses vertical dashed lines to annotate key policy events (lockdown, reopening phases).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/9", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-9", "loopMatches": [ { "to": 11, "from": 8, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "ba842ba8-5711-4ebd-baae-427dd4bf5fc6", "evidence": "The document presents a clear problem statement and highlights the complications faced by the transportation sector in DC.", "position": 1, "objective": "Identify the challenges faced by the transportation sector in DC", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 0.7, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 11, "from": 9, "beatId": "6028fc10-f342-40dc-92ac-03fad10b0671", "arcName": "Problem-Agitate-Solution", "arcSlug": "problem-agitate-solution", "beatName": "Complication", "beatSlug": "complication", "evidence": "The document presents data and statistics to support the complications faced by the transportation sector in DC, including record low ridership and high congestion delays.", "position": 1, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 10, "slideType": "comparison_table", "function": "compare_peers", "notes": "The slide uses a grouped bar chart format to compare two geographic regions across multiple industry sectors.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/10", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-10", "loopMatches": [ { "to": 11, "from": 8, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "ba842ba8-5711-4ebd-baae-427dd4bf5fc6", "evidence": "The document presents a clear problem statement and highlights the complications faced by the transportation sector in DC.", "position": 1, "objective": "Identify the challenges faced by the transportation sector in DC", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 0.7, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 11, "from": 9, "beatId": "6028fc10-f342-40dc-92ac-03fad10b0671", "arcName": "Problem-Agitate-Solution", "arcSlug": "problem-agitate-solution", "beatName": "Complication", "beatSlug": "complication", "evidence": "The document presents data and statistics to support the complications faced by the transportation sector in DC, including record low ridership and high congestion delays.", "position": 1, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 11, "slideType": "data_table", "function": "compare_peers", "notes": "The row for Washington DC is highlighted in orange to draw attention.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/11", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-11", "loopMatches": [ { "to": 11, "from": 8, "name": "Aha Moment", "slug": "03-aha-moment", "bestFor": "Data-heavy sections, research findings, analytical arguments", "matchId": "ba842ba8-5711-4ebd-baae-427dd4bf5fc6", "evidence": "The document presents a clear problem statement and highlights the complications faced by the transportation sector in DC.", "position": 1, "objective": "Identify the challenges faced by the transportation sector in DC", "structure": "The Problem/Question -> What the Data Shows -> The Insight", "confidence": 0.7, "description": "Establish a tension, present data, then deliver the insight that changes everything" } ], "arcBeatMatches": [ { "to": 11, "from": 9, "beatId": "6028fc10-f342-40dc-92ac-03fad10b0671", "arcName": "Problem-Agitate-Solution", "arcSlug": "problem-agitate-solution", "beatName": "Complication", "beatSlug": "complication", "evidence": "The document presents data and statistics to support the complications faced by the transportation sector in DC, including record low ridership and high congestion delays.", "position": 1, "confidence": 0.8, "parentBeatName": null, "parentBeatSlug": null } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 12, "slideType": "market_landscape", "function": "analyze_data", "notes": "Includes four bar charts for commute time distributions and one pie chart for mode share.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/12", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-12", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 13, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart uses Apple Mobility Trends data to illustrate behavioral shifts during the COVID-19 pandemic.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/13", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-13", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5ca1-7489-b639-31a82b5026d5", "docSlug": "d11f93df83b7d47b", "documentTitle": "Transportation Warehousing Sector", "authorId": "McKinsey", "authorName": "McKinsey", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "strategy_consulting", "sourceTypeLabel": "Strategy consulting", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.778, "pageNumber": 14, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a grouped bar chart to show the decline in telework across various sectors over a 4-month period.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5ca1-7489-b639-31a82b5026d5/14", "deckHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5", "deckAnchorHref": "/decks/019dd923-5ca1-7489-b639-31a82b5026d5#slide-14", "loopMatches": [], "arcBeatMatches": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }