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"promptVersion": null } }, { "to": 49, "from": 45, "loop": { "name": "02_pattern_hunter", "slug": "02-pattern-hunter", "status": "active", "bestFor": "Time-pressed audiences, building consensus, when data is strong", "canonId": "019dd956-6695-771a-be2e-f1748ef041a4", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion", "description": "Group multiple pieces of evidence that together point to a pattern or conclusion", "familyLabel": null, "categoryName": "Logical Reasoning", "categorySlug": "logical-reasoning" }, "matchId": "019de9c2-d1a0-747e-b328-dca32b6a2df1", "evidence": "Sales-comp shift (46), financial-services 4x (47), telecom 8x (48), Snowpark consumption growth (49) repeat expansion pattern.", "position": 7, "objective": "Stack customer cases proving migrations and features drive expansion", "confidence": 80, "extraction": { "at": "2026-05-02 17:35:51.112994+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 54, "from": 50, "loop": { "name": "41_so_what_cascade", "slug": "41-so-what-cascade", "status": "active", "bestFor": "Data presentations, executive summaries, driving to recommendations", "canonId": "019dd956-769f-7208-afbc-f28985c6f4fb", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "The Data -> So What? (Insight 1) -> So What? (Insight 2) -> So What? 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"slug": "land-and-expand", "evidence": "Two oversized cards explicitly labeled LAND / EXPAND.", "confidence": 90 } ], "page_number": 42 }, { "frameworks": [ { "name": "Net Revenue Retention", "slug": "nrr", "evidence": "Metric callout 'Net Revenue Retention Rate: 131%'.", "confidence": 85 } ], "page_number": 43 }, { "frameworks": [ { "name": "Net Revenue Retention", "slug": "nrr", "evidence": "NRR series 180/170/134% for Forbes G2000.", "confidence": 85 } ], "page_number": 44 }, { "frameworks": [ { "name": "Heatmap matrix", "slug": "heatmap-matrix", "evidence": "Factor x impact arrows table acts as directional heatmap.", "confidence": 65 } ], "page_number": 51 }, { "frameworks": [ { "name": "Before/after framing", "slug": "before-after-framing", "evidence": "FY25 Guidance vs Long-Term arrows for same metrics.", "confidence": 70 } ], "page_number": 53 }, { "frameworks": [ { "name": "Capital Allocation Framework", "slug": "capital-allocation-framework", "evidence": "Four pillars: Organic 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module sequence than a clear Situation-Complication-Question-Answer arc across Slides 3, 19, 36, and 50.", "action_titles": "Many titles are topic labels such as Slide 8 \"New Opportunities\", while stronger titles like Slide 39 \"Potential for Snowflake Spend Has Increased\" appear later.", "mece_structure": "The macro modules are understandable, but product, go-to-market, growth drivers, and investing sections overlap and repeat core/new opportunity territory across Slides 7-11 and 37-45.", "closing_strength": "The main story ends with Slide 55 Q&A and Slide 60 THANK YOU after appendix material, with no explicit recommendation, investor ask, or next-step commitment.", "evidence_quality": "Claims about market size, adoption, expansion, margins, and customer growth are backed by charts, data points, footnotes, and appendix reconciliations across Slides 14, 22-23, 38-54, and 57-59.", "clarity_of_thesis": "The central growth thesis is only hinted at by Slides 4-5 and becomes declarative 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"slidesSeen": 60, "suggestions": [ "Replace slides 4-5 with an answer-first thesis slide: state the headline number (e.g., '$152B→$342B TAM, won via three pillars') so the deck leads with the punchline, then unfolds proof.", "Collapse slides 9-11 into a single MECE pillar slide and rename overlapping dividers — pick one of 'Growth Opportunity' / 'Core Opportunity' / 'Growth Drivers' and retire the others.", "Add a synthesis slide before slide 55 that restates the three pillars, the financial commitment, and one explicit ask of investors; turn slide 60 into a memorable close (one sentence + one number) instead of 'THANK YOU'.", "Convert remaining topic-label titles (s17, s22, s23, s28, s30, s32, s42, s43-44, s54) into declarative action titles — e.g., 'Acquisition Strategy' → 'M&A is accelerating: 11 deals in 3 years, weighted to AI'.", "Tighten the product middle (s22-34): currently reads as a feature inventory; reframe each product slide as 'feature → adoption metric → revenue mechanism' to keep the land-and-expand narrative continuous." ], "closingScore": 32, "openingScore": 38, "topStrengths": [ "Customer-evidence cluster (slides 47-49) ties strategy to quantified outcomes: '4 Migrations 4x Product Revenue', '3 Migrations +8x Product Revenue', plus a 9-quarter Snowpark consumption story.", "Strong metaphor-driven thesis on slide 16 ('Snowflake the Nervous System for Enterprises Globally') and clean TAM sizing (s38: $152B→$342B, +2x callout).", "Disciplined action titles in the financial section (s38, s39, s40, s46, s52) where titles state the insight rather than label the chart." ], "topWeaknesses": [ "Opening sequence (slides 1-5) buries the thesis behind cover/disclaimer/agenda/2 dividers — investors wait until slide 14 or 16 for a real argument.", "Three near-identical 'New Opportunities' slides (9, 10, 11) and duplicated 'APPLICATIONS + DISTRIBUTION' concentric-circle diagrams (s13 and s34) — visual and structural redundancy.", "Closing is a non-close: 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See definitions provided in the Appendix.", "attrs": null, "canon": { "kind": { "name": "Disclaimer", "slug": "disclaimer", "status": "active", "canonId": "91173477-d91f-4024-bbaf-d4f93e3f82dc", "version": 1, "description": "Legal/cautionary text that occupies most of the body of its slide." }, "tool": null, "subkind": null, "framework": null }, "subkind": null, "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:04:18.798+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "e292e935-d486-4a16-b377-3f6dcd446cb0", "parentComponentId": null }, { "bbox": { "h": 0.09, "w": 0.72, "x": 0.14, "y": 0.1 }, "kind": "image", "text": "Navigation bar with product features", "attrs": null, "canon": { "kind": { "name": "Image", "slug": "image", "status": "active", "canonId": "019de52c-f978-701f-a720-51d029d769e7", "version": 1, "description": "Photo, illustration, screenshot or icon." }, "tool": null, "subkind": { "name": "Icon grid", "slug": "icon-grid", "status": "active", "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4", "version": 1, "description": null }, "framework": null }, "subkind": "icon-grid", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:04:18.798+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "bc9289ed-43ce-4479-b5bf-aa5ff1ff879e", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percent of Customers: 45%", "attrs": null, "canon": { "kind": { "name": "Metric", "slug": "metric", "status": "active", "canonId": "019de52c-f923-73bf-8081-d0b1a8c5264d", "version": 1, "description": "Big-number or KPI value." }, "tool": { "name": "Quantification", "slug": "quantification", "status": "active", "bestFor": null, "canonId": "019dd9e1-47ab-72ce-a079-aab1f5299e88", "version": 1, "bodyDocId": null, "description": "Translating a claim into numbers, charts, or tables.", "familyLabel": null }, "subkind": null, "framework": null }, "subkind": "primary", "groupRole": null, "confidence": null, "extraction": { "at": "2026-04-27 07:18:24+00", "model": "or:google/gemini-3.1-flash-lite-preview", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd952-832a-759e-8356-05f87d34ce1b", "parentComponentId": null }, { "bbox": { "h": 0.03, "w": 0.13, "x": 0.435, "y": 0.24 }, "kind": "title", "text": "Adoption of Snowpark", "attrs": null, "canon": { "kind": { "name": "Title", "slug": "title", "status": "active", "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4", "version": 1, "description": "Slide title or headline." }, "tool": null, "subkind": { "name": "Headline", "slug": "headline", "status": "active", "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d", "version": 1, "description": null }, "framework": null }, "subkind": "headline", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 17:04:18.798+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "39816d76-3e07-4114-ab55-ab890afc963a", "parentComponentId": null } ], "metrics": [], "tools": [ { "tool": { "name": "Inductive Reasoning", "slug": "inductive-reasoning", "status": "active", "bestFor": null, "canonId": "019dd956-99c6-705e-94cc-76a504c3da37", "version": 1, "bodyDocId": null, "description": "Grouping similar evidence to form a conclusion (Evidence → Pattern → Conclusion)", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect" ], "matchId": "019de9c2-d713-7578-91d1-89ccaa57c71d", "evidence": "Adoption-rate evidence per feature builds toward shared conclusion.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-05-02 17:35:51.112994+00", "model": "claude-cli", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 23, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any decision-grade deliverable — strategy recommendation, board update, investment memo, M&A review, post-mortem — where the reader is being asked to agree, decide, or act and will skim the title bar at speed.", "canonId": "019dd956-ac70-700b-a608-ba58e78f5dcc", "version": 1, "bodyDocId": "816dad3c-9983-41c1-a86e-978ebd582841", "description": "The McKinsey-bred discipline of writing every slide title as a complete declarative sentence with a verb and an insight, not a topic label. 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