{
  "docId": "019dd923-5de0-76bd-a164-6d605efb14e8",
  "docSlug": "a2c839f5d45fb583",
  "documentTitle": "eReadiness 2023 Survey",
  "authorId": "Strategy_and",
  "authorName": "Strategy&",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 12,
  "pageCount": 83,
  "prevPage": 11,
  "nextPage": 13,
  "slideType": "data_table",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 21,
  "notes": "The slide uses two stacked bar charts to visualize survey data from 12,816 and 5,772 respondents respectively.",
  "elementsJson": [
    "headline_text",
    "bar_chart_stacked",
    "bar_chart_stacked"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a164-6d605efb14e8/12",
  "deckHref": "/decks/019dd923-5de0-76bd-a164-6d605efb14e8",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a164-6d605efb14e8.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a164-6d605efb14e8#slide-12",
  "components": [
    {
      "bbox": {
        "h": 0.5,
        "w": 0.4,
        "x": 0.03,
        "y": 0.26
      },
      "kind": "chart",
      "text": "Which of the following means do you use during your free time?",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0e912202-d9b3-4cc4-9732-50f9f2d28785",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.4,
        "x": 0.5,
        "y": 0.26
      },
      "kind": "chart",
      "text": "Where do you typically park your car when you switch means?",
      "attrs": null,
      "subkind": "bar-stacked",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8fb8dc04-4a10-44fa-bc96-ecfa2f419a30",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Transportation mode usage: 52%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-e592-7177-ac4b-84067aa5d17e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.3,
        "x": 0.32,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: Strategy& analysis on feedback from consumer survey",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b6a0ab53-01fd-498d-9816-62c4bdebcada",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.75,
        "x": 0.03,
        "y": 0.08
      },
      "kind": "title",
      "text": "Multimodality gains an even more important role across all clusters during the free time",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "10e280f2-db12-486a-9cac-50295f0b06ae",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.03,
        "y": 0.18
      },
      "kind": "title",
      "text": "Mobility needs – Free time",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6007cd2b-1b91-4e0a-9e1f-3a1df6b7199d",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Data Story Arc",
      "slug": "data-story-arc",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "ae96a9fa-76bc-4dd4-a2e5-6163b3960f64",
      "evidence": "Multimodality gains an even more important role across all clusters during the free time",
      "confidence": 0.5
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 12,
      "from": 5,
      "beatId": "923dc0d9-5761-404b-98b5-b8aecc49d386",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-problem-complication",
      "evidence": "Consumer research sample and key takeaways",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 12,
      "from": 8,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "ee2986d5-c272-435f-9238-107ad2bac178",
      "evidence": "Detailed analysis of EV owners, prospects, and skeptics",
      "position": 0,
      "objective": "Understanding consumer segmentation",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 0.6,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}