{
  "docId": "019dd923-5f69-752d-a9b8-942c1292ab8d",
  "docSlug": "VEVptSZXKfV2vkRIu95o",
  "documentTitle": "See the pitch deck a startup that monitors building ventilation used to raise $8 million during the pandemic",
  "authorId": "Pitchdecks",
  "authorName": "Clockworks Analytics",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 8,
  "pageCount": 19,
  "prevPage": 7,
  "nextPage": 9,
  "slideType": "other",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 35,
  "notes": "The slide uses a Pareto-style distribution for both buildings and fault types to prioritize maintenance efforts.",
  "elementsJson": [
    "action_title",
    "data_table",
    "bar_chart_vertical"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5f69-752d-a9b8-942c1292ab8d/8",
  "deckHref": "/decks/019dd923-5f69-752d-a9b8-942c1292ab8d",
  "deckJsonHref": "/decks/019dd923-5f69-752d-a9b8-942c1292ab8d.json",
  "deckAnchorHref": "/decks/019dd923-5f69-752d-a9b8-942c1292ab8d#slide-8",
  "components": [
    {
      "bbox": {
        "h": 0.6,
        "w": 0.3,
        "x": 0.35,
        "y": 0.28
      },
      "kind": "chart",
      "text": "Comfort Priority by Buildings",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b3526723-370f-45bf-be1f-924fcca89067",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Comfort Priority: 146900",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-a290-75b0-a221-3f42ac35de54",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.22,
        "x": 0.06,
        "y": 0.28
      },
      "kind": "table",
      "text": "Buildings and Comfort Priority scores",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "30a0e762-6d02-409f-a4bc-81d258668de2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.3,
        "x": 0.65,
        "y": 0.28
      },
      "kind": "table",
      "text": "Faults and number of results",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "86256bcd-dbb1-4f6d-ba53-b4a8f1f66a7c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.8,
        "x": 0.03,
        "y": 0.05
      },
      "kind": "title",
      "text": "Fault prevalence informing maintenance priorities and capital budgets",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c583d002-8597-4458-8e7d-34c8e628f553",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Chartjunk Elimination",
      "slug": "chartjunk-elimination",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "f63cf219-4db9-40ab-86e0-a08dc91d532c",
      "evidence": "chart/bar-vertical",
      "confidence": 0.5
    },
    {
      "name": "Table data",
      "slug": "table-data",
      "agent": null,
      "layer": "slide",
      "matchId": "ed2cdf4a-07b5-4ac0-bd04-9064f8499e96",
      "evidence": "table/data",
      "confidence": 0.7
    }
  ],
  "frameworks": [
    {
      "name": "pareto-principle-80-20",
      "slug": null,
      "matchId": "fbdaf2de-e665-4dda-be51-8f50d5266294",
      "evidence": "The charts are sorted in descending order to highlight the most significant contributors to maintenance needs.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 14,
      "from": 7,
      "beatId": "7703c780-6f58-4c7e-b167-9a05d06b9d0b",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Traction",
      "beatSlug": null,
      "evidence": "The deck showcases client results and traction",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 14,
      "from": 7,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "fedbd910-48df-4774-a59d-47b1ad1a14d1",
      "evidence": "The deck showcases client results and traction to demonstrate potential benefits",
      "position": 1,
      "objective": "What are the potential benefits of investing in Clockworks Analytics?",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.6,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}