{
  "docId": "019dd923-5ca1-7489-b635-7ac12d53cb34",
  "docSlug": "d7f769c3840020df",
  "documentTitle": "TSS Index 2025 France",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 9,
  "pageCount": 15,
  "prevPage": 8,
  "nextPage": 10,
  "slideType": "industry_trends",
  "function": "diagnose",
  "density": "dense",
  "nDataPoints": 16,
  "notes": "The slide uses a custom matrix combining a bar chart for tariff impact and a dot-plot matrix for qualitative outlook across four dimensions.",
  "elementsJson": [
    "headline_text",
    "bar_chart_horizontal",
    "icon_grid",
    "bullet_list",
    "footnote"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b635-7ac12d53cb34/9",
  "deckHref": "/decks/019dd923-5ca1-7489-b635-7ac12d53cb34",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b635-7ac12d53cb34.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b635-7ac12d53cb34#slide-9",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Looking ahead, sector resistance to macro shocks varies. Chemicals, T&L, and Consumer are the most exposed, facing weak demand and margin pressure",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-acbc-7050-b10e-bf9eb3e01d1c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.3,
        "x": 0.05,
        "y": 0.3
      },
      "kind": "chart",
      "text": "Tariff impact by sector",
      "attrs": null,
      "subkind": "bar-grouped",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "71027c66-c991-40f0-ad7b-5822102b9330",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.3,
        "x": 0.3,
        "y": 0.3
      },
      "kind": "chart",
      "text": "Qualitative outlook matrix",
      "attrs": null,
      "subkind": "dot",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3ed6815a-86f7-4f46-a7ba-b514586d3c55",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.3,
        "x": 0.65,
        "y": 0.25
      },
      "kind": "list",
      "text": "Chemicals under pressure: oversupply, weak demand. T&L strained: trade volatility, supply chain issues. Consumer & retail fragile: pressure on disposable income, rising costs.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0e0ea461-3187-4a16-9ef9-9beae7d22fef",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Tariff impact: $7.8B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-acbc-7050-b10e-c3a51eaf3bbe",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.6,
        "x": 0.05,
        "y": 0.9
      },
      "kind": "source-note",
      "text": "1. Tariffs impact = Sector tariffs rate per country * Trade $ value (on imports & exports) / Sector Value-added output. 2. T&L tariffs impact computed as a weighted average of other sectors to reflect trade value loss. Source: Oxford Economics, USITC, US Census, BCG analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "71280ca4-3963-4dab-abc1-d73054551724",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.85,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "Looking ahead, sector resistance to macro shocks varies. Chemicals, T&L, and Consumer are the most exposed, facing weak demand and margin pressure",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d61cdb84-123f-46e2-8d01-f621d4128d32",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [
    {
      "metricRaw": "Tariff impact",
      "numberRaw": "$7.8B",
      "numberKind": "money",
      "actionTitle": "Looking ahead, sector resistance to macro shocks varies. Chemicals, T&L, and Consumer are the most exposed, facing weak demand and margin pressure",
      "calloutText": "Looking ahead, sector resistance to macro shocks varies. Chemicals, T&L, and Consumer are the most exposed, facing weak demand and margin pressure",
      "numberScale": "b",
      "numberValue": 7.8,
      "metricFamily": "other",
      "numberCurrency": "$"
    }
  ],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b90-4bcc408c7c27",
      "evidence": "Title declares 'Chemicals, T&L, and Consumer are the most exposed'.",
      "confidence": 88
    },
    {
      "name": "Annotation",
      "slug": "annotation",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b90-56acf073a440",
      "evidence": "Right-side brackets group rows into 'Most exposed/Some exposure/Most resilient'.",
      "confidence": 75
    },
    {
      "name": "Color Strategy",
      "slug": "color-strategy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b90-4ca4deb8088a",
      "evidence": "Red/yellow/green traffic-light dots for 4 risk dimensions per sector.",
      "confidence": 88
    },
    {
      "name": "Gestalt Principles",
      "slug": "gestalt-principles",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-14f5-72a3-8b90-5169f93a2f51",
      "evidence": "Grid of dots (sector × risk dimension) leverages proximity for scannability.",
      "confidence": 80
    }
  ],
  "frameworks": [
    {
      "name": "diagnostic-test",
      "slug": null,
      "matchId": "8c02ebb1-8f41-420d-a3f2-5b22f2393a9c",
      "evidence": "The slide evaluates sector-level exposure to macro shocks using a structured matrix.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 9,
      "from": 5,
      "beatId": "019dd95a-0702-74a3-87e0-bce4f166f515",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-solution-approach",
      "evidence": "Quantifies pressure (17%/5%), benchmarks geos, sizes economic stake, and ranks sectors.",
      "position": 3,
      "confidence": 88,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    },
    {
      "to": 9,
      "from": 2,
      "beatId": "019dd95a-0702-74a3-87e0-c86e684737a1",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Bankruptcy data, methodology, pressure rates and sector rankings.",
      "position": 1,
      "confidence": 60,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    }
  ],
  "loops": [
    {
      "to": 10,
      "from": 8,
      "name": "2x2 Matrix",
      "slug": "30-2x2-matrix",
      "bestFor": "Portfolio analysis, prioritization, strategic positioning",
      "matchId": "019dd95a-088c-724c-b30d-792d30a20032",
      "evidence": "p8 and p9 build the two axes (financial pressure and macro exposure); p10 plots the bubble 2x2 with Most-at-risk/Watchlist/Resilient zones.",
      "position": 4,
      "objective": "Segment sectors on two dimensions and identify the at-risk quadrant",
      "structure": "Dimension 1 (X-axis) -> Dimension 2 (Y-axis) -> The Four Quadrants -> The Sweet Spot",
      "confidence": 86,
      "description": "Plot options on two critical dimensions to reveal the optimal quadrant"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}