{ "schemaVersion": "deck-intelligence.v1", "id": "019dd923-5ca1-7489-b633-ed30207fe34d", "slug": "01932b757118df5b", "title": "Oil and Gas EP Incentive Plan Design", "subtitle": "Alvarez & Marsal", "author": "Alvarez & Marsal", "pageCount": 20, "kind": "consulting-deck", "orientation": "portrait", "aspectRatio": 0.773, "document": { "id": "019dd923-5ca1-7489-b633-ed30207fe34d", "slug": "01932b757118df5b", "title": "Oil and Gas EP Incentive Plan Design", "rawTitle": "Oil and Gas EP Incentive Plan Design", "authorId": "AlvarezMarsal", "authorName": "Alvarez & Marsal", "authorDisplay": "Alvarez & Marsal", "kind": { "slug": "consulting-deck", "label": "Consulting deck" }, "sourceType": { "slug": "strategy_consulting", "label": "Strategy consulting" }, "fileName": "Oil-and-Gas-EP-Incentive-Plan-Design.pdf", "sourceUrl": "https://www.alvarezandmarsal.com/sites/default/files/am_tax_oilandgas_e-preport.pdf", "sourceDate": "2015-01-01 00:00:00", "presentationDate": null, "ingestedAt": "2026-04-23 20:51:27+00", "status": "ready", "pageCount": 20, "orientation": "portrait", "aspectRatio": 0.773, "targetCompany": null, "targetTicker": null, "metadata": { "local_root": "/tmp/legacy-images/01932b757118df5b", "origin_corpus": "consulting" } }, "coverage": { "pageCount": 20, "pagesIndexed": 20, "pagesWithImages": 20, "pagesWithMetadata": 20, "imageCoveragePct": 100, "metadataCoveragePct": 100, "componentCount": 121, "chartCount": 12, "metricSlides": 13, "toolMatches": 51, "documentToolMatches": 0, "frameworkMatches": 1, "arcMatches": 1, "beatMatches": 3, "loopMatches": 2, "patternMatches": 0, "storymakersMatch": true, "scoreAvailable": true, "reviewAvailable": true, "activistThesisAvailable": false, "pitchdeckMetadataAvailable": false, "pitchdeckProfileAvailable": false }, "blocks": [], "matches": { "arcs": [ { "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-0542-7728-a78f-7788870dd0e2", "evidence": "Deck delivers benchmark facts (p3-8 AIPs), draws implications by company size (p10-17 LTIs), then a soft 'now what' as A&M contact (p20); the Action beat is weak.", "isPrimary": true, "confidence": 65, "extraction": { "at": "2026-04-29 13:07:28.977035+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null } } ], "beats": [ { "to": 8, "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 Facts (What)", "beatId": "019dd95a-0682-776c-8e36-dadd74b41723", "matchId": "019dd95a-0542-7728-a78f-7788870dd0e2", "beatType": { "name": "The Facts (What)", "slug": "triple-take-the-facts-what", "status": "active", "canonId": "019dd9b8-092b-754c-8eaa-ede3ffdcb060", "version": 1, "description": null }, "evidence": "Intro, methodology, AIP prevalence and metrics — pure descriptive findings.", "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. 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"canonId": "019dd956-bd34-759a-8e3b-2f14b571a2a1", "version": 1, "bodyDocId": null, "description": "Borrowing authority from trusted sources or vivid details", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Storyteller", "layer": "slide", "agents": [ "Storyteller" ], "matchId": "019dd95a-10d4-718b-9f5a-14d2192e96ef", "evidence": "Firm description and Taxand network membership.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 70, "extraction": { "at": "2026-04-29 13:07:31.797377+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 20, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [ { "matchId": "25ae79df-2dea-4899-a8f7-408c10f05d81", "evidence": "Categorizing incentive plans into three distinct types based on payout determination.", "framework": null, "confidence": 0.8, "extraction": { "at": "2026-05-02 19:46:55.696+00", 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], "slides_seen": 20, "deck_summary": "A&M's benchmark report aligns with Storymakers in basic hygiene (action-title callouts, pyramid-style key takeaways, charts annotated to support each insight) but the macro arc is weak: it reads as descriptive market data with a soft contact-A&M close rather than a Consultant's Gambit recommendation, and Pattern Hunter / Segmentation Split loops carry most of the narrative load.", "secondary_arcs": [], "images_inspected": 4, "slide_frameworks": [] }, "matchedAt": "2026-04-26 08:19:19+00", "slidesSeen": 20, "deckSummary": "A&M's benchmark report aligns with Storymakers in basic hygiene (action-title callouts, pyramid-style key takeaways, charts annotated to support each insight) but the macro arc is weak: it reads as descriptive market data with a soft contact-A&M close rather than a Consultant's Gambit recommendation, and Pattern Hunter / Segmentation Split loops carry most of the narrative load.", "imagesInspected": 4, "extractionSeconds": 224.28749 }, "score": { "backend": null, "scoredAt": "2026-04-24 09:23:24+00", "subScores": { "mece_pillars": 81.3, "scqa_opening": 60, "slide_type_mix": 71.89473684210526, "lead_with_answer": 100, "narrative_pacing": 85, "action_title_density": 0 }, "totalScore": 60.5, "coveragePct": 100, "explanations": { "mece_pillars": "2 pillars, balance=0.53", "scqa_opening": "first-third narrative: S", "slide_type_mix": "N47% · S21% · W21% · W11%", "lead_with_answer": "executive_summary on page 3", "narrative_pacing": "10% filler/appendix, middle density 86%", "action_title_density": "0/16 substantive slides have action titles (0%)" }, "slidesAnalyzed": 20 }, "review": { "backend": null, "verdict": "A competent benchmarking reference report with strong data density but weak Storymakers discipline — use it as a cautionary example of topic-label titles and a missing recommendation act, not as a narrative exemplar.", "reviewedAt": "2026-04-24 11:12:04+00", "slidesSeen": 20, "suggestions": [ "Rewrite every repeated 'LONG-TERM INCENTIVES' title as the specific finding on that page (e.g. p.11 → 'Performance-vesting awards dominate at >$5B firms (90%) but are rare sub-$500M (32%)')", "Add a synthesis slide after p.17 that translates the benchmarks into 3–5 design recommendations for E&P compensation committees, then place the firm bio after that", "Replace the generic section divider on p.5 and the caveat divider on p.9 with pillar statements that preview the argument (e.g. 'AIPs are shifting from discretionary to formulaic as companies scale')" ], "closingScore": 25, "openingScore": 50, "topStrengths": [ "Strong quantitative spine — nearly every analytical slide (p.3, 7, 8, 10–17) carries a specific prevalence stat (83%, 87%, 90%, 76%) that anchors claims in evidence", "Clean two-pillar MECE split between AIP (p.6–8) and LTI (p.10–17), mirroring how practitioners think about incentive plan design", "Opening stat on p.3 ('83% of companies utilize one or more performance metrics') lands the headline finding early" ], "topWeaknesses": [ "Title repetition — 'LONG-TERM INCENTIVES' is used verbatim on seven consecutive slides (p.10–16), making the deck unskimmable", "No resolution act — deck ends with a data table (p.17), an appendix (p.18), and firm marketing (p.19–20) rather than recommendations or implications for plan sponsors", "Section divider on p.9 uses a parenthetical caveat ('...it may not necessarily be classified as formulaic') as its headline instead of a pillar statement", "Insights live in callouts, not titles — e.g. p.11's '90% vs 32%' finding on performance-vesting prevalence by size is the real takeaway but is buried under a generic 'LONG-TERM INCENTIVES' header" ], "narrativeScore": 45, "pillarCritique": "The deck has two functional pillars — Annual Incentive Plans and Long-Term Incentives — signalled by a section divider (p.5) and an implicit topic shift at p.10; the structure is MECE at the topic level but the dividers are cosmetic rather than argumentative.", "closingCritique": "The deck closes with a Maximum Payout data slide (p.17), then a companies-analyzed appendix, and ends on 'find us at www.alvarezandmarsal.com' (p.20) — there is no synthesis, recommendation, or call to action for plan designers.", "openingCritique": "The Introduction (p.3) leads with a concrete finding ('83% of companies utilize one or more performance metrics'), which is a decent anchor, but the first five slides (cover, TOC, intro, methodology, divider) establish data scope rather than stakes or a thesis for the reader.", "extractionSeconds": 54.179695, "narrativeCritique": "This is a benchmarking report, not a story — it moves from Intro to Methodology to AIP data to LTI data to Appendix without tension or resolution. There is no 'so what?' act: the analysis dumps prevalence statistics and ends on a firm bio (p.20) rather than a recommendation.", "titleQualityScore": 30, "titleQualityCritique": "Titles are topic labels, not action titles — seven consecutive slides (p.10–p.16) are simply titled 'LONG-TERM INCENTIVES', and p.6–p.8 repeat 'ANNUAL INCENTIVE PLANS'. 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Long-term incentives generally consist of stock options, stock appreciation rights (SARs), time-vesting restricted stock or restricted stock units (RSUs) and performance-vesting awards (i.e., awards that vest upon satisfaction of some performance criteria rather than solely based on the passage of time). For purposes of this analysis, due to the similarity between awards, we grouped awards into three categories — (1) time-vesting stock options and SARs; (2) time-vesting restricted stock and RSUs; and (3) performance-vesting awards.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:46:52.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "253f29ee-18a5-4974-b817-8598c1278836", "parentComponentId": null }, { "bbox": { "h": 0.18, "w": 0.55, "x": 0.36, "y": 0.68 }, "kind": "paragraph", "text": "Time-vesting restricted stock / RSUs are the most utilized award type followed by performance-vesting awards. Not surprisingly, stock options / SARs are the least prevalent LTI vehicle utilized by U.S.-based E&P companies. Stock options / SARs have declined in popularity due to a change in the accounting treatment for these awards, the overall market shift toward performance-vesting equity, and because of the view of proxy advisors that these types of awards are not “performance-based,” even though to receive value from a stock option or SAR, the underlying stock price generally must increase.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:46:52.194+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, 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"tool": { "name": "Progressive Disclosure", "slug": "progressive-disclosure", "status": "active", "bestFor": null, "canonId": "019dd956-ac0e-734f-96a9-2a5ce72bdc19", "version": 1, "bodyDocId": null, "description": "Users less overwhelmed when complex features revealed gradually", "familyLabel": null, "categoryName": "Loop", "categorySlug": "loop" }, "agent": "Architect", "layer": "loop", "agents": [ "Architect", "Designer" ], "matchId": "019dd95a-10d4-718b-9f59-bdd1e0d19ef4", "evidence": "LTI loop reveals award-type, prevalence-by-size, metrics, period, payout cap in order.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 68, "extraction": { "at": "2026-04-29 13:07:31.797377+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null }, { "tool": { "name": "Action Titles", "slug": "action-titles", "status": "active", "bestFor": "Any 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(1) The buried claim: action titles place the conclusion on the page before any analysis is read, so a busy reader doesn't reverse-engineer it from the chart. (2) The spineless deck: because each title is a claim, slides have to ladder up to the governing thought; logical gaps become visible as topic-shaped titles in a sequence that no longer reads as a story.", "antipattern": "Topic labels disguised as titles — Volume by quarter, Key findings, Pricing strategy, Margins have been impacted. No verb, or a passive verb with no agent, or a fact (Revenue grew 12%) without the so-what. Also: titles that overreach the chart's evidence, multi-claim X-grew-but-Y-fell welded titles, and mechanical repetition of the same X-drove-Y template across the deck.", "cardinality": null, "narrativePurpose": "Forces the deck to carry its argument in the title bar so a senior reader can extract the recommendation without opening a single slide; converts a binder of topics into a navigable pyramid where every slide is a node defending the apex." }, { "tool": { "name": "Chart Selection Guide", "slug": "chart-selection-guide", "status": "active", "bestFor": null, "canonId": "019dd956-b1a0-700b-ba17-0e16c4d5bcae", "version": 1, "bodyDocId": null, "description": "Choosing the right chart type for your data and message", "familyLabel": null, "categoryName": "Slide", "categorySlug": "slide" }, "agent": "Designer", "layer": "slide", "agents": [ "Designer" ], "matchId": "019dd95a-10d4-718b-9f59-b60133051b5a", "evidence": "Prevalence chart of LTI award types.", "pageRefs": null, "priority": null, "whenToUse": null, "confidence": 75, "extraction": { "at": "2026-04-29 13:07:31.797377+00", "model": "claude-legacy", "runId": null, "seconds": null, "promptVersion": null }, "pageNumber": 10, "whyItWorks": null, "antipattern": null, "cardinality": null, "narrativePurpose": null } ], "frameworks": [], "arcBeats": [ { "to": 17, "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 }, "from": 10, "name": "The Implications (So What)", "beatId": "019dd95a-0682-776c-8e36-de09e6277adb", "matchId": "019dd95a-0542-7728-a78f-7788870dd0e2", "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": "LTI data segmented by market cap shows size-driven implications for plan design.", "position": 2, "isPrimaryArc": true, "parentBeatType": { "name": "Reflection", "slug": "reflection", "status": "active", "canonId": "019dd9b8-0510-73fd-8d00-1c7e45f7bc98", "version": 1, "description": "The \"so what\" beat. 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Awards generally vest on a ratable basis rather than cliff vesting. The most prevalent vesting period is 3 years.", "attrs": null, "canon": { "kind": { "name": "List", "slug": "list", "status": "active", "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2", "version": 1, "description": "Bullet or numbered list." }, "tool": null, "subkind": { "name": "Bullet list", "slug": "bullet", "status": "active", "canonId": "019de52c-fc98-7169-a083-5cab805076ca", "version": 1, "description": null }, "framework": null }, "subkind": "bullet", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 19:46:51.813+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "2e8ecd2b-ec2d-464b-8e2a-bb9861db377a", "parentComponentId": null }, { "bbox": null, "kind": "metric", "text": "Percentage of companies granting stock options / SARs: 48%", "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": "2026-04-24 05:30:30+00", "model": "claude-code-default", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "019dd951-a671-77dc-a369-24c574f80097", "parentComponentId": null }, { "bbox": { "h": 0.05, "w": 0.5, "x": 0.36, "y": 0.18 }, "kind": "subtitle", "text": "The chart below shows the percentage of companies that grant stock options / SARs by market capitalization. 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