{ "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": 45, "pageCount": 72, "prevPage": 44, "nextPage": 46, "slideType": "other", "function": "summarize", "density": "overcrowded", "nDataPoints": 1, "notes": "The slide appears to be a page from a book or technical guide, focusing on ARR reporting best practices.", "elementsJson": null, "metadataConfidence": 0.9, "imagePath": null, "slideHref": "/slides/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c/45", "deckHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c", "deckJsonHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c.json", "deckAnchorHref": "/decks/019f6b8f-703a-73b2-9ce7-4c20d37b9d2c#slide-45", "components": [ { "bbox": { "h": 0.18, "w": 0.66, "x": 0.17, "y": 0.72 }, "kind": "list", "text": "1. You are ultimately building towards a one-stop-shop reporting table. This table should be comprehensive enough to quickly answer +90% of ARR questions. Be thoughtful about what fields that output table should include to streamline reporting pulls.\n2. The queries in this exercise will be complex. Be intentional about making them comprehensible. Stay organized in how you write your query. Drop in comments. Modularize the query into as many bite-size components as possible. The goal is to make this query", "attrs": null, "subkind": "numbered", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "02116d01-8723-4498-9edb-3bd558d7da65", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.08, "w": 0.66, "x": 0.17, "y": 0.11 }, "kind": "paragraph", "text": "that pieced various pricing models together. It accounted—pretty horrifically and manually—for all the ways in which somebody could pay us (monthly, quarterly, annually) using all the different methods.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "20db46bb-2510-4d86-88ff-b50bde238d3f", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.07, "w": 0.66, "x": 0.17, "y": 0.57 }, "kind": "paragraph", "text": "Now it's time to turn all the logic you've defined into a source of truth. This exercise aims to create a set of tables that you and your team can use to report on ARR easily and efficiently. All of your logic will be applied in various SQL queries.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "2105646e-ef08-4b65-9e45-831edf3ba996", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.05, "w": 0.66, "x": 0.17, "y": 0.46 }, "kind": "paragraph", "text": "We ultimately settled on the following format—the table we outline in this chapter. It was a complete game changer in how we and the rest of the company accessed ARR reporting.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "78ec54c4-b683-4a39-8cf2-8db3d5060a0d", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.08, "w": 0.66, "x": 0.17, "y": 0.36 }, "kind": "paragraph", "text": "The most intimidating part was not knowing how to turn this Python script and its output into something that would scale. For Bobby, the Finance team, and everyone else that would ultimately need to report in some way on ARR.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "db42e00e-98f5-4a44-9980-4be811ac5b3a", "frameworkName": null, "frameworkSlug": null }, { "bbox": { "h": 0.12, "w": 0.66, "x": 0.17, "y": 0.22 }, "kind": "paragraph", "text": "In some ways, it was a pure miracle that this worked, and we were able to keep it all together. The script was brittle, though. It'd break anytime we changed something about our business. Worst of all, nobody could use it but Bobby, meaning nobody else could do ARR analysis—which became a major problem as we scaled.", "attrs": null, "subkind": "paragraph", "toolName": null, "toolSlug": null, "confidence": null, "componentId": "e34a4def-d3f6-40da-bd45-6e1376098cca", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [ { "name": "List presentation", "slug": "list-presentation", "agent": null, "layer": "slide", "matchId": "e40d8f4d-1839-47c2-ad95-015ca8f99c8c", "evidence": "The slide contains a list/numbered component with a clear list of items.", "confidence": 0.7 } ], "frameworks": [], "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 }