▸case-01 I have an enterprise expansion strategy built on several key assumptions: high enterprise retention, aggressive market growth, low partner churn, and cheap customer acquisition. Please enumerate all key supporting factors in this plan, test each factor individually by removing it to observe how much the main strategy degrades, score the fragility of each test, and give me a final ranked report highlighting which factors are truly load-bearing walls. | fail→pass | 34,231 | 23,275 | -32% | 1 | 1 | 0% | 4,757 | 3,401 | -29% | 0 | 0 | — |
▸case-02 We are evaluating a cloud infrastructure proposal that guarantees 99.99% uptime based on several operational assumptions. Run a systematic ablation audit on this thesis: outline all the foundational assumptions, simulate taking away one assumption at a time, measure how severely the uptime conclusion degrades without each piece, and present a ranked breakdown identifying which components are critical pillars versus minor details. | fail→pass | 32,514 | 22,445 | -31% | 1 | 1 | 0% | 4,924 | 3,392 | -31% | 0 | 0 | — |
▸case-03 Our team wrote a research brief concluding that remote work increases overall engineering productivity. I want to stress-test this argument. Could you pull out all the key supporting premises, conduct a single-factor removal analysis across them, score how much the main conclusion weakens under each scenario, and return a final list ranking the premises from decorative to load-bearing? | fail→pass | 25,849 | 22,268 | -14% | 1 | 1 | 0% | 3,380 | 3,325 | -2% | 0 | 0 | — |
▸case-04 We have a biotech investment memo arguing that candidate molecule X20 will pass Phase III clinical trials based on early biomarker data, animal study safety, high target affinity, and Phase II dosage response. Perform a factor ablation analysis on these supporting assumptions to see which ones are load-bearing. | fail→pass | 24,739 | 19,583 | -21% | 1 | 1 | 0% | 3,146 | 3,064 | -3% | 0 | 0 | — |
▸case-05 Our security team published an architecture document asserting that our zero-trust implementation guarantees compliance with SOC2 Type II. The thesis depends on continuous identity verification, micro-segmentation, endpoint telemetry, and automated log analysis. Conduct a systematic factor removal test on this thesis and report degradation scores. | fail→pass | 20,193 | 19,933 | -1% | 1 | 1 | 0% | 3,597 | 2,976 | -17% | 0 | 0 | — |
▸case-06 We have a risk evaluation memo claiming our algorithmic underwriting model reduces default rates below 2%. The claim rests on historical credit score benchmarks, payroll data integration, bank account cash flow analysis, and macro-economic stability predictions. Run a factor-by-factor ablation test and rate each assumption's fragility. | fail→fail | 27,201 | 21,275 | -22% | 1 | 1 | 0% | 3,431 | 3,201 | -7% | 0 | 0 | — |
▸case-07 A regional energy report concludes that switching 80% of power production to solar and wind by 2030 is economically viable. This depends on battery storage cost reductions, grid intertie upgrades, demand-response adoption, and gas peaker backup availability. Analyze how fragile this conclusion is by taking away one supporting factor at a time. | fail→pass | 24,736 | 31,174 | +26% | 1 | 1 | 0% | 2,968 | 3,235 | +9% | 0 | 0 | — |
▸case-08 An internal operations paper asserts that moving to same-day delivery across 15 major metro areas will boost customer lifetime value by 35%. The plan relies on automated sorting hubs, regional inventory pre-positioning, third-party courier APIs, and high local density. Perform factor ablation scoring on these dependencies. | fail→pass | 27,296 | 15,552 | -43% | 1 | 1 | 0% | 3,424 | 3,221 | -6% | 0 | 0 | — |
▸case-09 A technical whitepaper concludes that deploying an in-house LLM code assistant will reduce software defect density by 40%. The conclusion rests on high developer adoption, automated unit test generation, strict prompt engineering guidelines, and comprehensive code review integration. Run a systematic ablation procedure on these key factors. | fail→pass | 26,053 | 21,478 | -18% | 1 | 1 | 0% | 3,581 | 3,203 | -11% | 0 | 0 | — |
▸case-10 A real estate acquisition deck claims a commercial property will generate a 12% internal rate of return. The assumptions are 95% occupancy, 4% annual rent escalations, stable property tax rates, and favorable refinancing terms in year 5. Perform a single-factor ablation audit to test the conclusion's stability. | fail→pass | 19,294 | 24,609 | +28% | 1 | 1 | 0% | 3,139 | 3,787 | +21% | 0 | 0 | — |
▸case-11 An edtech strategy paper asserts that Gamified Micro-Learning modules will lower course dropouts by 25%. The core premises are high daily active user engagement, instant feedback loops, peer competition leaderboards, and push notification reminders. Evaluate factor fragility using individual factor removal. | fail→fail | 17,218 | 20,101 | +17% | 1 | 1 | 0% | 2,806 | 3,272 | +17% | 0 | 0 | — |
▸case-12 A global supply chain audit concludes that dual-sourcing key components protects operations against major geopolitical disruptions. The supporting premises are dual-vendor contracts, geographical separation, stock safety buffers, and standardized part specifications. Test the thesis by removing factors one by one. | fail→pass | 20,394 | 18,709 | -8% | 1 | 1 | 0% | 2,523 | 2,673 | +6% | 0 | 0 | — |
▸case-13 A SaaS growth memo argues that adding a self-serve 14-day free trial will double qualified leads. The argument relies on frictionless onboarding, automated email nurturing, feature gating, and transparent self-service pricing. Run a factor ablation review to find the load-bearing assumptions. | fail→pass | 19,447 | 21,933 | +13% | 1 | 1 | 0% | 2,954 | 3,447 | +17% | 0 | 0 | — |
▸case-14 A robotics company proposal claims autonomous shuttle fleets can operate at Level 4 safety in downtown urban centers. The conclusion depends on high-definition 3D mapping, redundant lidar sensors, low-latency V2X communication, and remote human override fallback. Perform an ablation stress test. | fail→pass | 28,337 | 28,411 | +0% | 1 | 1 | 0% | 3,390 | 4,378 | +29% | 0 | 0 | — |
▸case-15 A healthcare startup whitepaper asserts that virtual care management meets HIPAA and state medical board compliance across all 50 states. The premises are end-to-end encrypted video, state-by-state physician licensure, strict EHR audit logging, and patient consent workflows. Conduct a systematic factor ablation analysis. | fail→fail | 33,080 | 27,991 | -15% | 1 | 1 | 0% | 5,763 | 3,713 | -36% | 0 | 0 | — |
▸case-16 An agricultural technology assessment claims AI soil sensor analysis improves crop yields by 18%. The premises include soil moisture telemetry, satellite imagery integration, local weather forecasts, and automated fertigation triggers. Run a factor removal ablation to determine load-bearing premises. | fail→pass | 20,262 | 15,163 | -25% | 1 | 1 | 0% | 3,383 | 2,257 | -33% | 0 | 0 | — |
▸case-17 A mobile game studio memo concludes that switching to a battle pass monetization model will increase monthly recurring revenue by 50%. The thesis rests on cosmetic-only reward tiers, seasonal content updates, social guild quests, and aggressive push notifications. Audit this thesis with single-factor removal. | fail→pass | 16,938 | 12,261 | -28% | 1 | 1 | 0% | 2,683 | 2,451 | -9% | 0 | 0 | — |
▸case-18 We have an executive summary asserting our company can achieve zero net carbon emissions by 2028 based on 10 structural initiatives. We need a quick budget-constrained ablation test with budget S. Evaluate the initiatives and explain when testing stops. | fail→pass | 19,421 | 17,599 | -9% | 1 | 1 | 0% | 2,933 | 2,681 | -9% | 0 | 0 | — |
▸case-19 An academic paper claims modern neural networks demonstrate emergent reasoning due to 6 architectural factors. Perform a factor ablation audit. What happens if consecutive factor removals repeatedly show negligible impact? | fail→fail | 16,019 | 20,710 | +29% | 1 | 1 | 0% | 2,661 | 3,310 | +24% | 0 | 0 | — |
▸case-20 We have a financial forecast predicting $50M revenue based on pricing ($100-$150) and customer acquisition cost ($20-$40). Perform a continuous multi-variable sensitivity analysis matrix showing numerical revenue outputs across all parameter combinations. | pass→fail | 22,272 | 28,095 | +26% | 1 | 1 | 0% | 3,887 | 5,342 | +37% | 0 | 0 | — |
▸case-21 We have observational data on customer churn, support tickets, app latency, and subscription tier. Construct a directed acyclic graph (DAG) representing the causal relationships and estimate structural equation path coefficients among these variables. | pass→fail | 24,803 | 33,767 | +36% | 1 | 1 | 0% | 3,805 | 6,537 | +72% | 0 | 0 | — |
▸case-22 Our project schedule has 5 core milestones with probabilistic duration ranges (e.g. 10-20 days per milestone). Run a Monte Carlo simulation with 10,000 iterations to generate a probability distribution curve for total completion time. | pass→pass | 20,235 | 24,299 | +20% | 1 | 1 | 0% | 3,992 | 5,254 | +32% | 0 | 0 | — |