{
  "docId": "019f6b8f-703a-73b2-9ce7-4c20d37b9d2c",
  "docSlug": "jarvis-the-ultimate-guide-to-arr",
  "documentTitle": "The Ultimate Guide To ARR",
  "authorId": "the-ultimate-guide-to-arr",
  "authorName": null,
  "documentKindSlug": "deck",
  "documentKindLabel": "Deck",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": null,
  "orientation": null,
  "aspectRatio": null,
  "pageNumber": 48,
  "pageCount": 72,
  "prevPage": 47,
  "nextPage": 49,
  "slideType": "appendix_data",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 120,
  "notes": "The slide provides a data schema example for ARR modeling, specifically highlighting date, product, and customer fields.",
  "elementsJson": null,
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c/48",
  "deckHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c",
  "deckJsonHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c.json",
  "deckAnchorHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c#slide-48",
  "components": [
    {
      "bbox": {
        "h": 0.45,
        "w": 0.66,
        "x": 0.169,
        "y": 0.135
      },
      "kind": "list",
      "text": "DATE FIELDS: The start and end dates associated with each primary object across the customer base. PRODUCT AND PRICE MAKE-UP: The IDs and names of product SKUs and billing frequency. CUSTOMER AND TIMING FIELDS: Logic for defining a customer.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "95f6c80e-68e5-478d-b1e4-e031c7df91c9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.5,
        "x": 0.25,
        "y": 0.775
      },
      "kind": "other",
      "text": "Figure 5.3 - The Base ARR table is the building block of all the other tables",
      "attrs": null,
      "subkind": "annotation",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f8181451-9967-4644-a247-4447daaa097d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.66,
        "x": 0.169,
        "y": 0.09
      },
      "kind": "paragraph",
      "text": "Here are some examples of the types of data you'll want to include.",
      "attrs": null,
      "subkind": "description",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a4f7d5fe-f14b-4932-92a0-dc9f3d4579f7",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.88,
        "x": 0.06,
        "y": 0.64
      },
      "kind": "table",
      "text": "Base ARR table showing columns: PERIOD_START_DATE, PERIOD_END_DATE, FIRST_PAYMENT_DATE, SUBSCRIPTION_CREATED, SUBSCRIPTION_CANCELLED_AT, CUSTOMER_ID, INVOICE_ID, SUBSCRIPTION_ID, PRODUCT_ID, INVOICE_STATUS, PROD_SKU_PRICE, PROD_QUANTITY, DISCOUNT_AMOUNT",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "02dd7698-6fc6-4b67-b248-2ece2aa5e34f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.25,
        "x": 0.169,
        "y": 0.815
      },
      "kind": "title",
      "text": "The Clean ARR Table",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c198bb36-7432-42d0-a3da-fc27c3efaaae",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "data-schema-design",
      "slug": null,
      "matchId": "c618377d-748a-4bfd-91c8-8487e4716460",
      "evidence": "The slide outlines specific fields required for a structured ARR data table.",
      "confidence": 0.7
    }
  ],
  "arcBeats": [
    {
      "to": 63,
      "from": 44,
      "beatId": "7976f1fb-7ca9-4a2c-bfd0-864fe8dff526",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Satisfaction",
      "beatSlug": "monroes-sequence-satisfaction",
      "evidence": "The document provides a detailed guide to building ARR, acting on ARR, and benchmarking ARR to satisfy the reader's need.",
      "position": 2,
      "confidence": 0.7,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 72,
      "from": 10,
      "name": "Logic Chain",
      "slug": "01-logic-chain",
      "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis",
      "matchId": "e8faec0b-9f7e-48c0-9872-9bc2ef4cc4c5",
      "evidence": "The document presents a logical sequence of information, starting with the components of ARR and building up to benchmarking.",
      "position": 0,
      "objective": "To understand the components of ARR and how they relate to each other.",
      "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"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}