{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5ca1-7489-b634-f82b85203458", "slug": "7801cb245682af20", "title": "Economic Impact of Ford and F-Series", "subtitle": "BCG", "author": "BCG", "pageCount": 29, "kind": "consulting-deck", "orientation": "landscape", "aspectRatio": 1.778, "document": { "id": "019dd923-5ca1-7489-b634-f82b85203458", "slug": "7801cb245682af20", "title": "Economic Impact of Ford and F-Series", "rawTitle": "Economic Impact of Ford and F-Series", "authorId": "BCG", "authorName": "BCG", "authorDisplay": "BCG", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "2020-Economic-Impact-of-Ford-and-F-Series.pdf", "sourceUrl": "https://web-assets.bcg.com/7d/5a/e954da90470ea56dce1472a74abd/bcg-the-economic-impact-of-ford-and-the-f-series-sept-2020-v2.pdf", "sourceDate": "2020-09-15 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-23 20:51:29+00", "status": "ready", "pageCount": 29, "orientation": "landscape", "aspectRatio": 1.778, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/7801cb245682af20", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 29, "pagesIndexed": 29, "pagesWithImages": 29, "pagesWithMetadata": 29, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 167, "chartCount": 17, "metricSlides": 18, "toolMatches": 107, "documentToolMatches": 0, "frameworkMatches": 10, "arcMatches": 2, "beatMatches": 8, "loopMatches": 4, "patternMatches": 0, "storymakersMatch": true, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "evidence": "Cover/context (p.1-2), answer-first exec summary (p.3), four-lens approach (p.4-5), bulk evidence in 4 sections (p.6-27), disclaimer (p.28-29).", "isPrimary": true, "confidence": 62, "extraction": { "at": "2026-04-29 13:07:28.977035+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "matchId": "019dd95a-0543-7581-99ad-cb157e7fd452", "evidence": "Deck operates as Facts (the four impact lenses) plus Implications (in action titles) with no explicit Action beat.", "isPrimary": false, "confidence": 50, "extraction": { "at": "2026-04-29 13:07:28.977035+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } } ], "beats": [ { "to": 2, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 1, "name": "Situation & Context", "beatId": "019dd95a-0702-74a3-87db-64c0affd2c2e", "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "beatType": { "name": "Situation & Context", "slug": "consultants-gambit-situation-context", "status": "active", "canonId": "019dd9b8-05ae-741b-992d-65ee83c639b3", "version": 1, "description": null }, "evidence": "Cover plus 'Context for this document' framing the BCG study scope.", "position": 1, "isPrimaryArc": true, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 62 }, { "to": 3, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 3, "name": "Problem & Complication", "beatId": "019dd95a-0702-74a3-87db-6aa88cd49be5", "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "beatType": { "name": "Problem & Complication", "slug": "consultants-gambit-problem-complication", "status": "active", "canonId": "019dd9b8-064a-777f-a374-e9a8c43dedd4", "version": 1, "description": null }, "evidence": "Executive summary frames the central question of Ford's economic impact magnitude.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Complication", "slug": "complication", "status": "active", "canonId": "019dd9b8-0275-7709-b2d6-4f77c3fc7579", "version": 1, "description": "The point in the narrative where the audience should feel discomfort. Required for argumentative arcs." }, "alignedBlockIds": null, "matchConfidence": 62 }, { "to": 5, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 4, "name": "Solution & Approach", "beatId": "019dd95a-0702-74a3-87db-6e9568197bae", "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "beatType": { "name": "Solution & Approach", "slug": "consultants-gambit-solution-approach", "status": "active", "canonId": "019dd9b8-071c-7161-9184-580fdac7a4f9", "version": 1, "description": null }, "evidence": "Key messages plus contents lay out the four-lens analytical approach.", "position": 3, "isPrimaryArc": true, "parentBeatType": { "name": "Turn", "slug": "turn", "status": "active", "canonId": "019dd9b8-0396-702b-ac2f-9901f8dd8b54", "version": 1, "description": "The pivot — solution proposed, catalyst introduced, decision made. Common (15/20 arcs) but not universal: Triple-take, AIDA, PAS, Voyage-return and Pixar substitute it with a strong reflection or development beat." }, "alignedBlockIds": null, "matchConfidence": 62 }, { "to": 27, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 6, "name": "Evidence & Proof", "beatId": "019dd95a-0702-74a3-87db-70375fde4e94", "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "beatType": { "name": "Evidence & Proof", "slug": "consultants-gambit-evidence-proof", "status": "active", "canonId": "019dd9b8-07b1-7688-8e1e-7637fec3802a", "version": 1, "description": null }, "evidence": "Four evidence blocks: Employment, GDP, Manufacturing, Usage with quantitative proof.", "position": 4, "isPrimaryArc": true, "parentBeatType": { "name": "Evidence", "slug": "evidence", "status": "active", "canonId": "019dd9b8-03f9-772a-b84a-4f07b415b77a", "version": 1, "description": "A dedicated proof beat exists in only ~4 arcs (Gambit, Sequoia, AIDA, Monroes). Other arcs embed evidence inline within development." }, "alignedBlockIds": null, "matchConfidence": 62 }, { "to": 29, "arc": { "name": "The Consultant's Gambit", "slug": "consultants-gambit", "status": "active", "bestFor": "Business cases, project proposals, strategic recommendations", "canonId": "019dd956-5e0a-73c8-b305-81c38c959e9c", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "Situation & Context -> Problem & Complication -> Solution & Approach -> Evidence & Proof -> Impact & Next Steps", "description": null, "familyLabel": null, "categoryName": "Strategy & Business", "categorySlug": "strategy-business" }, "from": 28, "name": "Impact & Next Steps", "beatId": "019dd95a-0702-74a3-87db-7661b03af5d5", "matchId": "019dd95a-0543-7581-99ad-c4c71483e2a2", "beatType": { "name": "Impact & Next Steps", "slug": "consultants-gambit-impact-next-steps", "status": "active", "canonId": "019dd9b8-0849-7728-9ee9-fd1609c4c655", "version": 1, "description": null }, "evidence": "Disclaimer and closing slide; impact integrated upfront, no explicit next steps.", "position": 5, "isPrimaryArc": true, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 62 }, { "to": 27, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 6, "name": "The Facts (What)", "beatId": "019dd95a-0702-74a3-87db-78b21ffcc1de", "matchId": "019dd95a-0543-7581-99ad-cb157e7fd452", "beatType": { "name": "The Facts (What)", "slug": "triple-take-the-facts-what", "status": "active", "canonId": "019dd9b8-092b-754c-8eaa-ede3ffdcb060", "version": 1, "description": null }, "evidence": "Quantified evidence across employment, GDP, manufacturing, usage.", "position": 1, "isPrimaryArc": false, "parentBeatType": { "name": "Setup", "slug": "setup", "status": "active", "canonId": "019dd9b8-020e-7505-af9b-d9b9a4679bcc", "version": 1, "description": "Where the deck grounds the reader before doing anything else. Almost every arc opens here." }, "alignedBlockIds": null, "matchConfidence": 50 }, { "to": 4, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 3, "name": "The Implications (So What)", "beatId": "019dd95a-0702-74a3-87db-7de8e1798891", "matchId": "019dd95a-0543-7581-99ad-cb157e7fd452", "beatType": { "name": "The Implications (So What)", "slug": "triple-take-the-implications-so-what", "status": "active", "canonId": "019dd9b8-09c7-75cd-8c7b-ae0e23cca2b8", "version": 1, "description": null }, "evidence": "Action-title executive summary states the so-what upfront.", "position": 2, "isPrimaryArc": false, "parentBeatType": { "name": "Reflection", "slug": "reflection", "status": "active", "canonId": "019dd9b8-0510-73fd-8d00-1c7e45f7bc98", "version": 1, "description": "The \"so what\" beat. Used by analytical arcs (Triple-take, Onion) and learning arcs (Voyage-return, Tragedy)." }, "alignedBlockIds": null, "matchConfidence": 50 }, { "to": 29, "arc": { "name": "The Triple Take", "slug": "triple-take", "status": "active", "bestFor": "Data-driven presentations, research findings", "canonId": "019dd956-6221-73ad-bc12-378f8eb1f018", "version": 1, "bodyDocId": "019df22a-2356-73eb-8061-d8c81dc0aa49", "structure": "The Facts (What) -> The Implications (So What) -> The Action (Now What)", "description": null, "familyLabel": null, "categoryName": "Analysis & Information", "categorySlug": "analysis-information" }, "from": 28, "name": "The Action (Now What)", "beatId": "019dd95a-0702-74a3-87db-80465666f283", "matchId": "019dd95a-0543-7581-99ad-cb157e7fd452", "beatType": { "name": "The Action (Now What)", "slug": "triple-take-the-action-now-what", "status": "active", "canonId": "019dd9b8-0a5e-735a-bf53-3a1ba629b7aa", "version": 1, "description": null }, "evidence": "Action beat is implicit/absent — only disclaimer follows.", "position": 3, "isPrimaryArc": false, "parentBeatType": { "name": "Resolution", "slug": "resolution", "status": "active", "canonId": "019dd9b8-045d-703b-8dd7-e92aba3ba91b", "version": 1, "description": "How the deck ends. Required in 19/20 arcs. The exception (Sparkline) ends with new bliss which is functionally a resolution." }, "alignedBlockIds": null, "matchConfidence": 50 } ], "loops": [ { "to": 9, "from": 7, "loop": { "name": "26_ripple_effect", "slug": "26-ripple-effect", "status": "active", "bestFor": "Change management, scaling initiatives, demonstrating broad value", "canonId": "019dd956-7075-7564-a134-cbde706dcfe0", "version": 1, "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21", "structure": "Individual Impact -> Team Impact -> Organizational Impact -> Market/Industry Impact", "description": "Show how impact spreads from individual to team to organization to market", "familyLabel": null, "categoryName": "Causation", "categorySlug": "causation" }, "matchId": "019dd95a-088b-72c8-b7e3-72cc4f04205c", "evidence": "F-Series 500K jobs (p.7) → all Ford USA 1M jobs (p.8) → 13M Americans using F-Series for work (p.9): expanding scope.", "position": 1, "objective": "Show employment impact rippling outward", "confidence": 75, "extraction": { "at": "2026-04-29 13:07:29.689431+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 12, "from": 11, "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": "019dd95a-088b-72c8-b7e3-77806459717f", "evidence": "F-Series ~$49B GDP (p.11) and Ford USA ~$100B GDP (p.12) as parallel evidence of GDP impact.", "position": 2, "objective": "Stack GDP evidence to prove macro contribution", "confidence": 65, "extraction": { "at": "2026-04-29 13:07:29.689431+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 19, "from": 14, "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": "019dd95a-088b-72c8-b7e3-7a88f80473cd", "evidence": "2x competitors (p.14), 1-in-5 vehicles (p.15), most American-made (p.16), patent leader (p.17-19) all converge on Ford manufacturing leadership.", "position": 3, "objective": "Pile manufacturing/innovation proof points to a leadership conclusion", "confidence": 80, "extraction": { "at": "2026-04-29 13:07:29.689431+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } }, { "to": 27, "from": 21, "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": "019dd95a-088b-72c8-b7e3-7d5a977c952b", "evidence": "Bigger than Android/sports (p.21), more revenue than recognizable companies (p.22), most popular (p.23), 39 of 50 states (p.24), highest-selling 10 years (p.25-26), 75% of vocations (p.27).", "position": 4, "objective": "Stack usage superlatives to prove dominance", "confidence": 82, "extraction": { "at": "2026-04-29 13:07:29.689431+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } } ], "tools": [ { "tool": { "name": "SCQA Framework", "slug": "scqa-framework", "status": "active", "bestFor": null, "canonId": "019dd956-7bcb-763f-bdf6-1dfedf3bd36c", "version": 1, "bodyDocId": "019df22a-a0b0-719e-937e-2ac31e53d32c", "description": "Situation, Complication, Question, Answer - structured problem framing", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Architect", "layer": "block", "agents": [ "Architect" ], "matchId": "019dd95a-1321-706c-9a60-0a4e0b0e5a2a", "evidence": "Sets situation (BCG evaluated Ford), implies the central question.", "pageRefs": null, "priority": "Core", "whenToUse": null, "confidence": 55, "extraction": { "at": "2026-04-29 13:07:32.384959+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 2, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Big Idea Formula", "slug": "big-idea-formula", "status": "active", "bestFor": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "canonId": "019dd956-7dd1-74d7-9866-ffdef19ecfbf", "version": 1, "bodyDocId": "c30d7484-69e0-4e21-82cf-20fa0966869e", "description": "Nancy Duarte's articulation of how to frame a presentation's central message: the speaker's unique point of view plus what's at stake for the audience, expressed as one complete declarative sentence. The narrative-driven counterpart to Minto's analytical governing thought.", "familyLabel": null, "categoryName": "Block", "categorySlug": "block" }, "agent": "Storyteller", "layer": "block", "agents": [ "Storyteller" ], "matchId": "019dd95a-1321-706c-9a60-28efc430dbbe", "evidence": "Crystallized POV with stakes: 500K jobs, $49B GDP at stake.", "pageRefs": null, "priority": "Core", "whenToUse": "Any narrative-driven persuasive deck whose job is to move the audience: keynotes, fundraising pitches, capital-allocation board asks, all-hands behaviour-change talks, conference talks meant to shift mental models. Use it before structuring; pair with Pyramid when the deck must also withstand line-by-line scrutiny.", "confidence": 65, "extraction": { "at": "2026-04-29 13:07:32.384959+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 3, "whyItWorks": "Solves the topic-not-thesis trap and the stake-less recommendation trap simultaneously. A single declarative sentence with a verb forces the speaker's stance into the room; routing the consequence through the word 'you' translates internal urgency into the audience's currency. The result is short enough to be repeated after the meeting — and that repetition is the persuasion mechanism.", "antipattern": "A topic dressed as a thesis ('Sustainability Roadmap 2026'), a stake attached to the speaker rather than the audience, two ideas spliced with 'and', abstract verbs (leverage / unlock / empower) that survive deletion, or writing the Big Idea after the deck is already built so the slides don't actually defend it.", "cardinality": null, "narrativePurpose": "Forces the deck to commit to a single declarative thesis before slide one — a sentence that names the speaker's stance and routes a consequence through the audience's currency. 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"Title: 'F-Series is the best-selling pickup truck in the world over the last ten years'.", "confidence": 90 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "Top-selling vehicles ranked with labelled values.", "confidence": 75 } ], "page_number": 26 }, { "tools": [ { "id": 118, "slug": "action-titles", "layer": "Slide", "evidence": "Title: 'Ford is the most popular pickup truck across commercial vocations'.", "confidence": 90 }, { "id": 138, "slug": "annotation", "layer": "Slide", "evidence": "75% callout summarizes vocation-level dominance.", "confidence": 75 }, { "id": 124, "slug": "closing-techniques", "layer": "Slide", "evidence": "Final content slide ends on an emphatic dominance statistic.", "confidence": 60 } ], "page_number": 27 } ], "slides_seen": 29, "deck_summary": "Classic BCG answer-first impact study: pyramid-principle exec summary on p.3 followed by four pattern-hunter loops (Employment, GDP, Manufacturing, Usage) packed with action titles, annotated charts, and Ford-isolating color emphasis. Aligns well with Storymakers on Block- and Slide-layer technique (Pyramid, MECE, action titles, von Restorff, credibility transfer) but lacks an explicit 'now what' beat — the deck is data-led advocacy, not a decision-forcing recommendation.", "secondary_arcs": [ { "id": 11, "slug": "triple-take", "beats": [ { "name": "The Facts (What)", "end_page": 27, "evidence": "Quantified evidence across employment, GDP, manufacturing, usage.", "position": 1, "start_page": 6 }, { "name": "The Implications (So What)", "end_page": 4, "evidence": "Action-title executive summary states the so-what upfront.", "position": 2, "start_page": 3 }, { "name": "The Action (Now What)", "end_page": 29, "evidence": "Action beat is implicit/absent — only disclaimer follows.", "position": 3, "start_page": 28 } ], "evidence": "Deck operates as Facts (the four impact lenses) plus Implications (in action titles) with no explicit Action beat.", "confidence": 50 } ], "images_inspected": 8, "slide_frameworks": [ { "frameworks": [ { "name": "2x2 Matrix", "slug": "2x2-matrix", "evidence": "Labelled axes 'Average Competitive Impact' (Y) and 'Freshness %' (X) with players plotted.", "confidence": 80 } ], "page_number": 17 } ] }, "matchedAt": "2026-04-26 14:10:46+00", "slidesSeen": 29, "deckSummary": "Classic BCG answer-first impact study: pyramid-principle exec summary on p.3 followed by four pattern-hunter loops (Employment, GDP, Manufacturing, Usage) packed with action titles, annotated charts, and Ford-isolating color emphasis. Aligns well with Storymakers on Block- and Slide-layer technique (Pyramid, MECE, action titles, von Restorff, credibility transfer) but lacks an explicit 'now what' beat — the deck is data-led advocacy, not a decision-forcing recommendation.", "imagesInspected": 8, "extractionSeconds": 449.57465 }, "score": { "backend": "codex", "scoredAt": "2026-05-02 22:21:04.946+00", "subScores": { "scqa_arc": 58, "action_titles": 84, "mece_structure": 73, "closing_strength": 22, "evidence_quality": 86, "clarity_of_thesis": 76, "production_quality": 76, "visual_storytelling": 82 }, "totalScore": 70, "coveragePct": 100, "explanations": { "scqa_arc": "The deck establishes context on slide 2 and gives the answer early on slides 3-4, but it reads more like a sequenced analytical proof pack than a Situation-Complication-Question-Answer narrative.", "action_titles": "Most substantive pages use insight-bearing titles, for example slide 7: \"The F-Series supports ~500,000 American jobs, representing ~13-14 jobs for every direct Ford employee.\"", "mece_structure": "The employment, GDP, manufacturing, and usage sections are easy to follow, but manufacturing overlaps with innovation and economic impact themes while some pillar boundaries are not fully MECE.", "closing_strength": "The deck does not end with a recommendation, decision, or next steps; slides 28-29 are a disclaimer and brand/photo close.", "evidence_quality": "Claims are strongly supported by quantified charts, footnotes, external references, and data-rich comparisons across slides 7-27 rather than relying on assertion.", "clarity_of_thesis": "The central argument is identifiable by slide 3 and reinforced by slide 4, but the opening thesis is framed as study findings rather than a sharper declarative answer.", "production_quality": "Production quality is polished and consistent with strong footnote discipline, but overcrowded slides such as 7-9, 16, and 17 reduce whitespace and hierarchy.", "visual_storytelling": "The deck generally matches message to tool with waterfalls, bars, maps, bubbles, big numbers, and callouts across slides 7-27, though several dense pages weaken scanability." }, "slidesAnalyzed": 29 }, "review": { "backend": null, "verdict": "A polished BCG advocacy/impact report with exemplary action titles and pillar structure but no SCQA tension or closing recommendation — use slides 7–14 as a teaching example for quantified action titles, not the overall arc.", "reviewedAt": "2026-04-24 13:44:59+00", "slidesSeen": 29, "suggestions": [ "Add a closing slide after p.27 that restates the four pillar numbers (~500k jobs · ~$49B GDP · 1-in-5 US vehicles · #1 in 39 states) and explicitly articulates the 'so what' for policymakers or Ford stakeholders", "Rewrite p.2 into an SCQA setup slide ('Ford F-Series has been the best-selling US vehicle for 43 years — this study quantifies what that scale means for the US economy') to create a reason-to-read", "Collapse the Manufacturing and Usage sections into a single 'Market Leadership' pillar, or reframe Manufacturing as 'How Ford produces it' vs. Usage as 'How America uses it' to eliminate overlap and strengthen MECE" ], "closingScore": 35, "openingScore": 78, "topStrengths": [ "Quantified action titles on nearly every body slide (p.7, p.8, p.11, p.12, p.14, p.21) — a textbook Storymakers habit", "Clean pillar structure with explicit section dividers (p.6, p.10, p.13, p.20) that mirrors the p.4 key-messages frame", "Memorable comparative anchors in the Usage section (p.21 F-Series vs. combined sports leagues revenue; p.25 vs. Camry+Corolla) that make big numbers tangible" ], "topWeaknesses": [ "No closing synthesis or call-to-action — deck ends on p.27 with another benchmark slide, then disclaimer (p.28) and a Ford|BCG marker (p.29)", "No complication/tension: the narrative is a one-sided scale story without SCQA's 'Complication' or 'Question' to create stakes", "Pillar redundancy between Manufacturing (p.13–19) and Usage (p.20–27) — several competitive_analysis slides in Usage (p.22, p.25, p.26) could sit in either bucket, eroding MECE", "Slide 2 'Context for this document' is a topic label, wasting a scarce early-deck slot that should reinforce the thesis" ], "narrativeScore": 62, "pillarCritique": "The four dividers (Employment p.6, GDP p.10, Manufacturing p.13, Usage p.20) are cleanly labeled and roughly MECE, though Manufacturing and Usage overlap in theme (both touch market leadership) and the pillars read as topic buckets rather than argumentative claims.", "closingCritique": "The final substantive slides (25–27) are more best-selling/benchmark claims with no synthesis, recommendation, 'so what', or call to action — the deck simply stops at slide 27 and then hits a disclaimer (28) and a Ford|BCG marker (29). There is no closing slide that ties the four pillars back to a unified message.", "openingCritique": "Slide 3 leads with the headline finding ('13–14 US jobs supported per direct F-Series employee') and slide 4 frames the two pillars, so the thesis surfaces within the first four pages. It lacks a sharper hook or stakes (why this matters now, what decision it informs), defaulting to a study-summary tone.", "extractionSeconds": 62.405838, "narrativeCritique": "The deck follows an implicit impact-by-pillar structure (Employment → GDP → Manufacturing → Usage) rather than an SCQA arc — there is no tension or complication, just layered evidence of scale. Setup and analysis are present but the Resolution act is entirely missing since this is an advocacy/impact report, not a recommendation deck.", "titleQualityScore": 82, "titleQualityCritique": "Most action titles are declarative and number-bearing — e.g. p.7 'The F-Series supports ~500,000 American jobs…', p.14 'Ford assembled twice as many full-size pickups…as any competitor in 2019' — textbook Storymakers practice. 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