{
  "docId": "019dd923-5ca1-7489-b635-6e239bbc025d",
  "docSlug": "0f4c2c9dcf80afca",
  "documentTitle": "Measuring What Matters",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.707,
  "pageNumber": 19,
  "pageCount": 28,
  "prevPage": 18,
  "nextPage": 20,
  "slideType": "appendix_methodology",
  "function": "summarize",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The slide defines two specific cost metrics used in the financial model, breaking them down into input variables and operational characteristics.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b635-6e239bbc025d/19",
  "deckHref": "/decks/019dd923-5ca1-7489-b635-6e239bbc025d",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b635-6e239bbc025d.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-6e239bbc025d#slide-19",
  "components": [
    {
      "bbox": {
        "h": 0.35,
        "w": 0.88,
        "x": 0.06,
        "y": 0.14
      },
      "kind": "paragraph",
      "text": "A. Driver Cost\nDriver cost= Driver FLC per Hour × Driver Hours / Total fleet miles driven\nDriver FLC per hour= Driver wages+benefits+recruiting costs\nWhere:\nKey Variables used as an input\n• Driver hours\nBasic operational characteristics\n• Total fleet miles driven\nStandardized Constant (see Appendix II)\n• Driver wages\n• Driver benefits\n• Driver recruiting costs",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5dad2158-63f9-46e0-872f-fd290ba8808f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.4,
        "w": 0.88,
        "x": 0.06,
        "y": 0.51
      },
      "kind": "paragraph",
      "text": "B. Autonomous technology inspection, maintenance, and repair cost (“AD M&R cost”)\nAD M&R Cost= (AD M&R labor cost + Total cost of autonomous driving system parts used for repair) / Total fleet miles driven\nWhere:\nKey Variables used as an input\n• Engineer hours\n• Technician hours\n• AD M&R parts cost\nBasic operational characteristics\n• Total fleet miles driven\nStandardized Constant (see Appendix II)\n• Engineer FLC\n• Technician FLC",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "92a191bd-b81b-48b4-b034-70d98ceac03e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.88,
        "x": 0.06,
        "y": 0.04
      },
      "kind": "title",
      "text": "Appendix I: Calculation logic for drivers affected by Key Variables",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "33bfb5e8-3357-416f-820a-15bcb8a8bd8f",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Decomposition",
      "slug": "decomposition",
      "agent": null,
      "layer": "slide",
      "matchId": "ee4d68ba-b946-4b51-8022-76447dce6ff8",
      "evidence": "The slide breaks down the calculation logic for drivers affected by Key Variables into smaller components, such as 'AD M&R Cost' and 'Driver cost'.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}