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Plausibility Decision Trees

Plausibility Decision Trees#

Overview#

This section provides plausibility checks for 15 common strategic archetypes, using band combinations instead of granular operational details. For each archetype, a red-flag trigger (based on band combinations) indicates when to unlock +/-3 exception scoring (vs. default banded {-2, 0, +2}). Use this as the gating mechanism for exception scoring.

Key Change: Plausibility gates now focus on band feasibility (e.g., "Transformational spend + 0-3mo + Very High complexity = implausible unless...") rather than detailed budget/headcount requirements. Participants submit bands; facilitators challenge implausible combinations.


15 Strategic Archetypes (Consolidated for V7.4)#

#ArchetypeRed-Flag Band CombinationTypical Banded Score (if plausible)Exception Score Range (if red-flag fires)
1Deploy New AI SystemGlobal/National + 0-3mo + Absorbable/Material; OR no pilot phase + High/Very High complexity; OR Regulator-dependent + <12mo{-2,0,+2} -> +0-2/9+/-3 unlocked: -2 to -3 if band combination unrealistic; +3 if novel tech proven in pilot
2Acquire Competitor / StartupTransformational spend + High integration complexity + <3mo; OR Existential spend + Ecosystem shift required{-2,0,+2} -> -1-1/9+/-3 unlocked: -3 if regulatory existential risk; +2 if synergies crystallizing
3Cut Headcount / RestructureTransformational spend + >30% reduction + <6mo + no severance plan; OR Existential spend + labor impact{-2,0,+2} -> -1-1/9+/-3 unlocked: -3 if labor backlash + execution collapse; +2 if severance + retraining excellent
4Exit Market / Divest UnitExistential spend (core asset) + no identified buyer + fire-sale valuation{-2,0,+2} -> -1-2/9+/-3 unlocked: -3 if fire-sale destroys value; +2 if proceeds productively redeployed
5Launch AI-Native ProductTransformational/Existential spend + 2+ years + unproven market fit + Very High complexity{-2,0,+2} -> 0-1/9+/-3 unlocked: -3 if no differentiation; +3 if market fit crystal clear + execution flawless
6Form Strategic Alliance / PartnershipMaterial/Transformational spend + no partner identified + vague scope{-2,0,+2} -> 0-1/9+/-3 unlocked: -3 if only path forward but no partner exists; +2 if partner ideal + synergies obvious
7Build Proprietary AI / R&DTransformational/Existential spend + 2+ years + Very High complexity + Ecosystem shift + no world-class talent{-2,0,+2} -> -1-0/9+/-3 unlocked: -3 if talent gap unbridgeable; +1 if acquisition + integration succeeds
8Deploy Autonomous SystemGlobal scale + National/Global + High/Very High complexity + no rollback + mission-critical domain{-2,0,+2} -> -2-0/9+/-3 unlocked: -3 if catastrophic failure risk (e.g., autonomous vehicle no circuit breakers)
9Major Org RestructureTransformational spend + Very High complexity + >50% role changes + no change management plan{-2,0,+2} -> -1-0/9+/-3 unlocked: -3 if org capability collapses; +1 if change management excellent
10Aggressive Pricing / Margin PushMaterial/Transformational spend + commodity market + below-cost pricing + competitors will match{-2,0,+2} -> -2-0/9+/-3 unlocked: -3 if self-destructive pricing certain
11Build Data/AI Capability In-HouseTransformational spend + 1-2yr+ timeline + Very High complexity + no existing talent + competitors faster{-2,0,+2} -> -1-0/9+/-3 unlocked: -3 if talent shortage severe; +1 if phased build feasible
12Pivot to New Market / SegmentTransformational spend + 1-2yr timeline + High complexity + unvalidated market + abandons core advantage{-2,0,+2} -> -1-0/9+/-3 unlocked: -3 if abandons core advantage; +2 if validated market + clear advantage
13Geographic ExpansionTransformational/Existential spend + Global scale + geopolitical risk + unfamiliar regulatory environment{-2,0,+2} -> -1-0/9+/-3 unlocked: -3 if geopolitical hostility; +1 if regulatory clarity + opportunity
14Invest in Defense / Risk MitigationMaterial spend + purely defensive + no offensive upside + capital locked up{-2,0,+2} -> -1-0/9+/-3 unlocked: -2 if unnecessary; +2 if prevents existential tail risk
15Wait & See / Hold PatternMaterial/Transformational spend + market accelerating + competitors moving + cost of waiting high{-2,0,+2} -> -2-0/9+/-3 unlocked: -3 if market leaves you behind; 0 if strategic clarity emerges

Per-Archetype Plausibility Checks (Abbreviated)#

Archetype 1: Deploy New AI System#

Plausible IF (Band Combinations):

  • Spend: Absorbable or Material (not Transformational/Existential for unproven tech)
  • Time: 0-3mo for pilots; 3-12mo for limited scale; 1-2yr for enterprise-wide
  • Complexity: Low or Medium (not High/Very High for novel tech)
  • Dependency: Mostly internal or Vendor (not Regulator/Union/Ecosystem unless pre-engaged)
  • Scale: Pilot -> Regional -> National (not Global without track record)

Examples of plausible combinations:

  • Absorbable + 0-3mo + Low + Internal + Pilot (check)
  • Material + 3-12mo + Medium + Vendor + Regional (check)
  • Transformational + 1-2yr + High + Regulator (with engagement plan) + National (check)

Red-Flag IF (Band Combinations):

  • Global/National scale + 0-3mo + no pilot phase (overcommitted timeline)
  • Transformational/Existential spend + 0-3mo + Very High complexity (unrealistic)
  • High/Very High complexity + Regulator-dependent + <12mo (FDA approval timeline typically 12-24mo)
  • Novel technology + no talent plan + no vendor partnership

Typical Score (if plausible):

  • Absorbable + 0-3mo + Low + Internal + Pilot: +0 to +2/9 (low-risk pilot)
  • Material + 3-12mo + Medium + Vendor + Regional: +0 to +1/9 (some integration friction)
  • Transformational + 1-2yr + High + Regulator + National: -1 to 0/9 (long timeline, approval risk)

Exception Scoring:

  • If red-flag band combination fires: Unlock +/-3. Can drop to -3 if overcommitment is severe. Can reach +3 if novel tech proven in pilot + execution flawless.

Archetype 2: Acquire Competitor / Startup#

Plausible IF (Band Combinations):

  • Spend: Material or Transformational (but not Existential for unvetted target)
  • Time: 3-12mo for small deals (<$1B); 1-2yr for larger deals (>$1B)
  • Complexity: Medium to High (integration always complex)
  • Dependency: Mostly internal or Vendor (low antitrust scrutiny)
  • Scale: Regional to National (integration risk scales with size)

Examples of plausible combinations:

  • Material + 3-12mo + Medium + Internal + Regional (small bolt-on) (check)
  • Transformational + 1-2yr + High + Internal + National (large integration) (check)
  • Transformational + 2+yr + Very High + Regulator (major deal with antitrust review) + National (check)

Red-Flag IF (Band Combinations):

  • Existential spend + <3mo (impossible close timeline for large deal)
  • Transformational spend + Very High complexity + <6mo (unproven integration plan)
  • Existential spend + Ecosystem shift required (bet-the-company M&A with unknown synergies)

Typical Score (if plausible):

  • Material + 3-12mo + Medium + Internal + Regional: -1 to +1/9 (deal risk; integration friction)
  • Transformational + 1-2yr + High + Internal + National: 0 to +2/9 (deal closing; synergies becoming clear)

Exception Scoring:

  • If red-flag band combination fires: Can drop to -3 if architecturally unsound (e.g., cultural incompatibility). Can reach +3 if synergies crystallizing + regulatory approval near-certain.

Archetype 3: Cut Headcount / Restructure#

Plausible IF (Band Combinations):

  • Spend: Absorbable or Material (cost-reduction initiative)
  • Time: 0-3mo for announcement; 3-12mo for phased execution
  • Complexity: Low to Medium (straightforward execution)
  • Dependency: Mostly internal (may involve union negotiation; requires engagement plan)
  • Scale: Regional to National (not Global without cultural/regulatory complexity)

Examples of plausible combinations:

  • Material + 3-12mo + Low + Internal + Regional (modest <15% cut, severance offered) (check)
  • Material + 3-12mo + Medium + Union partnership + National (phased, generous severance, retraining) (check)

Red-Flag IF (Band Combinations):

  • Transformational spend + >30% reduction + 0-3mo + no severance plan (aggressive + no safety net)
  • Transformational spend + High/Very High complexity + Union-dependent + <6mo (labor backlash certain)

Typical Score (if plausible):

  • Material + 3-12mo + Low + Internal + Regional: -1 to +1/9 (cost upside; talent/morale risk)
  • Material + 3-12mo + Medium + Union partnership + National: 0 to +2/9 (phased; cost advantage realized; labor relations maintained)

Exception Scoring:

  • If red-flag band combination fires: Can drop to -3 if aggressive cut + no severance + legal exposure. Can reach +3 if severance generous + retraining excellent + org stabilizes quickly.

Archetype 4: Exit Market / Divest Unit#

Plausible IF:

  • Business unit is non-core
  • Logical buyer identified (competitor, PE firm, strategic buyer)
  • Valuation is reasonable (market comps support price)
  • Sale can close in 6-12 months

Red-Flag IF:

  • Unit is core to company identity
  • No identified buyer (vague idea of "someone will want it")
  • Valuation is overpriced relative to market comps
  • Asset is forced fire-sale (depressed price; weak negotiating position)

Typical Score (if plausible):

  • Early rounds: {-2, 0, +2} -> -1 to +2/9 (defensive move; frees capital for redeployment)
  • Later rounds: {-2, 0, +2} -> +0 to +3/9 (capital redeployment is successful; divestiture was right call)

Exception Scoring:

  • If red-flag fires: Can drop to -3 if fire-sale undermines shareholder value + market sees it as distress signal. Can reach +3 if strategic clarity is excellent + proceeds are productively redeployed.

Archetype 5: Launch AI-Native Product#

Plausible IF:

  • Market opportunity is validated (customer research; willing to pay)
  • Product roadmap is clear (MVP in 6-12 months)
  • Team has product + engineering capability
  • Capital is committed (budget allocated by leadership)

Red-Flag IF:

  • Unproven market fit
  • No alpha / differentiation vs. competitors
  • Massive capex with unclear payback (>$50M+ for unproven product)
  • No committed go-to-market plan

Typical Score (if plausible):

  • Early rounds: {-2, 0, +2} -> +0 to +1/9 (exploratory; high execution risk)
  • Later rounds: {-2, 0, +2} -> +1 to +3/9 (market fit is proving; revenue traction)

Exception Scoring:

  • If red-flag fires: Can drop to -3 if product has no differentiation + team is uncertain. Can reach +3 if market fit is crystal clear + team is world-class + execution is ahead of schedule.

Archetype 6: Form Strategic Alliance / Partnership#

Plausible IF:

  • Partner is identified and interested in discussions
  • Scope is defined (technology licensing, distribution, joint venture)
  • Governance is clear (roles, IP ownership, exit clause)
  • Win-win for both parties

Red-Flag IF:

  • No specific partner identified
  • Scope is vague (e.g., "we'll figure out what to do together")
  • Synergies are unproven or wishful
  • One party has much more to gain than the other (imbalance)

Typical Score (if plausible):

  • {-2, 0, +2} -> +0 to +2/9 (strategic alliance can accelerate time-to-market; execution depends on partner quality)

Exception Scoring:

  • If red-flag fires: Can drop to -3 if partnership is only viable option but no partner exists (stranded). Can reach +3 if partner is ideal + governance is ironclad + synergies are obvious.

Archetypes 7-15 (Brief Summaries)#

ArchetypeRed-FlagPlausible ScoreException Range
7. Build Proprietary AI/R&DNo world-class talent; >$100M capex unproven ROI-1 to +1/9-3 to +2 (if talent is scarce, -3; if acquisition + integration succeeds, +2)
8. Deploy Autonomous SystemNo circuit breakers; no human oversight; mission-critical + no rollback-2 to +1/9-3 to 0 (catastrophic failure risk; -3 is likely)
9. Major Org Restructure>50% role changes; no change mgmt plan; talent exodus risk-1 to +1/9-3 to +2 (org collapse risk is -3; successful transformation is +2)
10. Aggressive Pricing/Margin PushCommodity market; below-cost pricing; competitors will match-2 to 0/9-3 to 0 (self-destructive pricing is -3)
11. Build Data/AI Capability In-HouseNo existing talent; competitors faster; make-vs-buy ignored-1 to +1/9-3 to +1 (talent gap is unbridgeable, -3; phased build is +1)
12. Pivot to New Market/SegmentUnvalidated market; abandons core advantage; new competition-1 to +1/9-3 to +2 (abandons core advantage, -3; validated market + clear advantage, +2)
13. Geographic ExpansionGeopolitical risk; unfamiliar labor/regulatory environment; capex-heavy-1 to +1/9-3 to +1 (geopolitical hostility, -3; regulatory clarity + market opportunity, +1)
14. Invest in Defense/Risk MitigationPurely defensive; no offensive upside; capital locked-1 to 0/9-2 to +2 (if defense prevents existential tail risk, +2; if unnecessary, -2)
15. Wait & See / Hold PatternMarket accelerating; competitors moving; cost of waiting-2 to 0/9-3 to 0 (market leaves you behind, -3; strategic clarity emerges, 0)

Industry-Specific Decision Trees#

The following decision trees provide industry-specific plausibility guidance for the 11 industries. Use these when a participant's decision requires context beyond the generic 15 archetypes.

Retail#

Key tensions: Amazon competition, omnichannel execution, labor displacement, brand trust with AI-driven personalization.

Decision TypePlausible IFRed-Flag IFTypical Score
AI demand forecasting / inventoryProven tech; phased rollout; existing vendorGlobal rollout <3mo; no pilot+2 to +4/9
AI-driven personalizationTransparency/opt-in; brand safety planInvasive data use; no customer consent+1 to +2/9
Aggressive dynamic pricingCompetitive intelligence; customer segmentationPrice discrimination perception; brand damage-1 to +1/9
Autonomous checkout / fulfillmentPilot phase; union engagementFull deployment <6mo; no labor transition-2 to +1/9

CPG#

Key tensions: Brand safety with AI-generated content, retailer power dynamics, DTC execution risk, R&D cycle acceleration.

Decision TypePlausible IFRed-Flag IFTypical Score
R&D acceleration with AIPilot product lines; proven toolsFull portfolio <6mo; no validation+2 to +3/9
Marketing automation (human review)Human review gates; brand guidelinesNo review; AI-generated content uncontrolled+1 to +2/9
Aggressive DTC bypass of retailersValidated DTC demand; phasedAbandon retailer relationships; no fallback-1 to +1/9

Healthcare Provider#

Key tensions: Patient safety liability, FDA approval timelines, physician adoption, EHR integration complexity.

Decision TypePlausible IFRed-Flag IFTypical Score
Clinical decision support (physician override)Human oversight; staff trainingNo override; novel diagnostics no FDA+1 to +2/9
FDA pre-submission for diagnostic AI12-24mo timeline; clinical validation<12mo for approval; no validation plan0 to +1/9
Operational AI (scheduling, resources)Proven tech; pilot departmentsEnterprise-wide <3mo; no workflow analysis+1 to +2/9

Healthcare Payer#

Key tensions: Claims denial backlash, regulatory MLR limits, member satisfaction, fraud detection arms race.

Decision TypePlausible IFRed-Flag IFTypical Score
Prior auth automation (human review)Human review for high-cost; phased>70% auto-denial; no human review+1 to +2/9
Fraud detection / payment integrityProven technology; vendor partnershipNovel approach; no validation+2 to +3/9
Aggressive claim denial automationClear cost rationaleNo human review; regulatory backlash certain-1 to 0/9

Finance#

Key tensions: Systemic risk from AI trading, fair lending compliance, synthetic fraud arms race, regulatory scrutiny.

Decision TypePlausible IFRed-Flag IFTypical Score
AI underwriting (explainability)Human review for denials; bias auditNo explainability; no bias audit+2 to +3/9
Synthetic fraud detectionVendor partnership; proven toolsBuild from scratch; no talent+1 to +2/9
AI trading (autonomous)Circuit breakers; human oversight>80% autonomous; no oversight; no circuit breakers-1 to +1/9
Bias auditing / fair lending infrastructureCompliance-driven; proactiveReactive only; after enforcement action+2 to +3/9

Consulting#

Key tensions: AI transformation advisory vs. being disrupted by client in-house AI capabilities; junior talent pipeline disruption as AI automates entry-level analysis; pricing pressure from AI-enabled boutiques offering faster/cheaper delivery; vertical AI competition from specialized firms; the tension between selling AI transformation to clients while managing your own AI disruption.

Decision TypePlausible IFRed-Flag IFTypical Score
Deploy copilots firm-wide (research, analysis, proposals)Proven tools (GitHub Copilot, custom LLMs); phased rollout; training program; human review gatesEnterprise-wide <30 days; no training; no quality controls+2 to +3/9
Build vertical AI expertise practicesHire 30-50 AI specialists; partner with AI vendors; target 2-3 verticals firstTarget all verticals simultaneously; no hiring plan; no client pipeline+1 to +3/9
Premium AI governance / compliance advisoryRegulatory uncertainty creates demand; existing client relationships; demonstrated methodologyNo methodology; no regulatory expertise; pricing unsupported by market+2 to +5/9
Transition to outcome-based pricingPilot with 3-5 trusted clients; document value creation; maintain time-based as fallbackFirm-wide pricing change <6mo; no client buy-in; no value measurement0 to +2/9
Aggressive junior headcount reduction (>40%)Clear redeployment plan; severance; AI handles analyst tasks; senior talent retainedNo redeployment; no severance; talent pipeline destroyed; client delivery quality at risk-2 to 0/9
Acquire AI-native boutiqueClear synergy (talent + capability); reasonable valuation; integration planOverpay for unproven capability; cultural mismatch; talent flight risk post-acquisition-1 to +2/9

Consulting-Specific Red-Flags:

  • Cutting >40% of junior staff + <12mo + no talent pipeline plan = red-flag (destroys future partner pipeline; client delivery quality degrades)
  • Outcome-based pricing firm-wide + <6mo + no pilot = red-flag (revenue uncertainty; partner resistance; client confusion)
  • Building vertical AI practices in >5 verticals simultaneously + <12mo = red-flag (talent spread too thin; none achieve depth)
  • Selling AI transformation advisory while not adopting AI internally = credibility red-flag (clients will notice the hypocrisy)

Law#

Key tensions: Billable hour model under existential pressure from AI efficiency gains; bar rule uncertainty for AI-generated work product (varies by jurisdiction; ABA and state bars actively debating); malpractice liability if AI-generated work contains errors and is filed without adequate human review; associate leverage model erosion as AI handles tasks traditionally done by junior associates; competition from legal AI platforms (Harvey.ai, CoCounsel) that could disintermediate traditional firms; tension between reducing associate hours (which drives revenue under billable model) and improving efficiency (which clients demand).

Decision TypePlausible IFRed-Flag IFTypical Score
Pilot AI research tools (legal research, due diligence, contract review)Proven tools (Harvey.ai, CoCounsel, Westlaw AI); human attorney review mandatory; select practice groupsFirm-wide deployment <30 days; no attorney review protocol; no bar rule compliance assessment+1 to +3/9
AI-assisted brief drafting with attorney reviewAttorney signs off on all output; clear quality control; malpractice insurance reviewedAI drafts filed without attorney review; no malpractice assessment; jurisdiction bar rules unclear0 to +2/9
Maintain billable hour model with AI efficiency gainsClients accept current rates; AI reduces cost-to-serve but maintains pricing; reinvest savingsClients demand rate reductions proportional to AI gains; realization rates drop; revenue erosion+1 to +2/9
Transition to alternative fee arrangements (fixed fee, outcome-based)Pilot with 3-5 clients; clear scope definition; partner buy-in; maintain billable as fallbackFirm-wide pricing overhaul <6mo; no partner consensus; no client validation; revenue model unclear-1 to +2/9
Reduce associate headcount significantly (>30%)Phased over 18-24mo; severance; redeployment to complex work; AI handles routine tasksImmediate cuts >30% + <6mo; no severance; no redeployment; client service quality collapses-2 to +1/9
Build proprietary legal AI platformClear differentiation; in-house AI talent; phased roadmap; client-facing applicationNo AI talent; >$50M capex unproven; competing with well-funded legal AI startups-2 to +1/9
Expand into AI compliance / regulatory advisoryGrowing demand; existing regulatory expertise; cross-sell to corporate clientsNo regulatory expertise; entering crowded market; competing with Consulting firms+1 to +3/9

Law-Specific Red-Flags:

  • AI-generated briefs filed without attorney review = critical red-flag (malpractice exposure; bar discipline; client harm). Score -3 on Tail Risk automatically.
  • 30% associate reduction + <12mo + no redeployment plan = red-flag (leverage model collapses; ability to staff large matters degraded; lateral partner flight)

  • Firm-wide pricing model change + <6mo + no partner consensus = red-flag (partner exodus; revenue instability; client confusion)
  • Building proprietary legal AI platform + >$50M + no AI talent = red-flag (competing against Harvey.ai, CoCounsel, and other well-funded startups with no competitive advantage)
  • Ignoring bar rule developments on AI-generated work = regulatory red-flag (rules are evolving rapidly; firms that don't track jurisdiction-specific requirements risk sanctions)

Manufacturing#

Key tensions: Union relations, labor displacement, OT/IT integration complexity, capex allocation for proven vs. unproven technology.

Decision TypePlausible IFRed-Flag IFTypical Score
Predictive maintenance (pilot plants)High-ROI plants; phased OT/IT integrationAll 28 plants simultaneously; no OT/IT plan+2 to +4/9
No-layoff retraining agreementUnion cooperation; $35-40M committedNo union engagement; token retraining+2 to +4/9
Full warehouse automationPilot first; labor transition planAll plants <6mo; no labor plan; union ignored-2 to +1/9

Logistics#

Key tensions: Driver adoption of AI tools, autonomous vehicle regulatory uncertainty, last-mile profitability limits, union concerns.

Decision TypePlausible IFRed-Flag IFTypical Score
Route optimization (pilot fleet)Proven tech; driver engagementFull fleet <3mo; no driver buy-in+2 to +4/9
AV partnership (Waymo/Aurora)5-10% fleet; managed expectationsFull fleet autonomous; eliminate drivers0 to +1/9
Autonomous vehicles (internal build)Phased; regulatory engagementFull fleet <2yr; no regulatory plan-3 to -1/9

Big Tech#

Key tensions: Cloud infrastructure investment, enterprise AI platform competition, antitrust scrutiny, margin pressure from AI compute costs, open-source model commoditization. Note: AI lab and foundation model development decisions are excluded from participant scope; those dynamics come via facilitator injects only. Big Tech scope covers cloud, advertising, devices, and enterprise software.

Decision TypePlausible IFRed-Flag IFTypical Score
AI infrastructure capex (cloud, chips, data centers)Scaled investment; existing capability; clear ROI pathway>$50B single-year commitment without revenue offset; margin collapse+2 to +4/9
Enterprise AI APIs + platform toolsPlatform leverage; existing enterprise relationshipsPricing below cost to undercut competitors; margin destruction+1 to +3/9
Deep AI integration into core products (search, ads, cloud)Incremental; user experience tested; phasedFull product overhaul <6mo; no user testing; brand risk+2 to +4/9
Defensive pricing against open-sourceMaintains enterprise stickiness; modest margin compressionBelow-cost pricing; shareholder revolt; unsustainable-1 to +1/9
Major acquisition of AI startup/competitorClear strategic fit; talent retention plan; regulatory pathwayAntitrust scrutiny certain; >$20B without regulatory pre-clearance-1 to +2/9

Big Tech-Specific Note: If a participant proposes decisions related to foundation model training, frontier model development, or AI lab operations, redirect: "Big Tech scope in this exercise covers cloud, advertising, devices, and enterprise software. AI lab and model development dynamics are introduced via facilitator injects. Please reframe your decision within the Big Tech scope."

B2B/B2C SaaS#

Key tensions: AI feature integration pressure, pricing model disruption, competitive threat from AI-native startups, margin compression from AI infrastructure costs, customer retention vs. upsell.

Decision TypePlausible IFRed-Flag IFTypical Score
Bundle AI copilots into standard productMaintains lock-in; execution provenNo revenue offset; margin erosion >5%+1 to +2/9
Premium AI tier (30-50% price increase)Differentiated features; customer demand validatedUntested pricing; customer churn risk+2 to +3/9
AI-native vertical product launchValidated market; existing customer baseUnproven market; competing against specialized startups+1 to +2/9

How to Use This Document During Scoring#

  1. Participant proposes decision. Record WHO/WHAT/WHERE/WHEN/HOW/HOW MUCH/RISK and band classification (Spend, Time, Complexity, Dependency, Scale).
  2. Map to archetype. Which of the 15 does this fall into?
  3. Check industry-specific tree. Does the industry have specific plausibility guidance? (See industry trees above.)
  4. Check band red-flag combination. Does the band combo trigger a red-flag?
    • If NO red-flag band combo: Score using default bands {-2, 0, +2}. Use band-to-score translation table (Adjudication Rules). Total typically ranges -6 to +6.
    • If YES red-flag band combo: Unlock +/-3 exception scoring. Reference the plausibility check to calibrate final score. Total can range -9 to +9.
  5. Reference plausibility check. If band combo is questionable, guide participant toward narrower scope, longer timeline, lower complexity, or lower spend.
  6. Post score. Explain your decision concisely to participant (reference bands that drove score).
  7. Move on. No deep debate on edge cases; next decision.

Summary Table: Archetypes -> Band Red-Flags -> Can Score +/-3?#

ArchetypeRed-Flag Band ComboCan Score +/-3?
Deploy AI SystemGlobal/National + 0-3mo; OR High/Very High complexity + no pilot + <12moYES if timeline/complexity band mismatch is severe
Acquire CompetitorExistential spend + <3mo close; OR High integration + <6moYES if regulatory existential risk or deal structure unsound
Cut HeadcountTransformational + >30% in <6mo + no severanceYES if labor backlash + execution collapse
Exit MarketExistential spend (core asset) + no buyer + fire-saleYES if fire-sale destroys value or strategic incoherence
Launch AI-Native ProductTransformational/Existential + 2+yr + unproven market fitYES if market fit crystallizes or completely lacks validation
Form AllianceMaterial/Transformational + no partner identified + vague scopeYES if only path forward but partner doesn't exist
Build Proprietary AITransformational/Existential + Very High complexity + no talentYES if talent gap unbridgeable or ROI completely unclear
Deploy AutonomousGlobal/National + High/Very High + no rollback + mission-criticalYES if catastrophic failure risk (systemic)
Major Org RestructureTransformational + Very High complexity + >50% changes + no change mgmtYES if org capability collapses
Aggressive PricingMaterial/Transformational + commodity market + below-cost bandYES if self-destructive pricing certain
Build Data CapabilityTransformational + 1-2yr+ + Very High complexity + no talentYES if talent shortage severe or build technically unfeasible
Pivot to New MarketTransformational + 1-2yr + High complexity + abandons core advantageYES if abandons core advantage or market unvalidated
Geographic ExpansionTransformational/Existential + Global scale + geopolitical risk bandYES if geopolitical hostility severe
Invest in DefenseMaterial + purely defensive (no offensive upside)YES if prevents existential tail risk or unnecessary
Wait & SeeMaterial/Transformational + market accelerating + competitors movingYES if market passes you by permanently

Use this as a quick reference during live facilitation. If a red-flag fires, reference the plausibility check to calibrate the +/-3 exception score. Do not overthink; move briskly.