▸case-11 Configuration Delta has 10 parameter pairs. Nine pairs are rated fully consistent (+2), but one pair is rated strongly inconsistent (-2). A team member suggests keeping Delta because its total sum is +16. Should Delta be retained as a primary scenario? | pass→pass | 8,927 | 6,380 | -29% | 1 | 1 | 0% | 1,413 | 1,492 | +6% | 0 | 0 | — |
▸case-04 Our preliminary morphological filtering on urban transport futures yielded 42 fully consistent configurations. Since we cannot present 42 scenarios to stakeholders, we were thinking of taking the first 10 at random. How should we handle this excess? | pass→pass | 13,981 | 9,291 | -34% | 1 | 1 | 0% | 2,181 | 1,903 | -13% | 0 | 0 | — |
▸case-03 We conducted a strict pairwise incompatibility filter on a 5-dimension technology roadmap Zwicky Box. After dropping all inconsistent and conditionally consistent pairs, only 1 valid scenario remains. We need at least 4 scenarios for executive decision-making. Should we re-evaluate from scratch or adjust our filter boundaries? | pass→pass | 13,085 | 7,546 | -42% | 1 | 1 | 0% | 1,972 | 1,488 | -25% | 0 | 0 | — |
▸case-02 I'm attaching a complete morphological space detailing various hardware, software, and regulatory dimensions for our next-gen autonomous vehicle project. Can you perform a cross-consistency analysis to eliminate incompatible parameter pairings, downselect to a balanced group of primary scenario candidates, and flesh them out into verified scenario narratives? | fail→fail | 9,923 | 26,203 | +164% | 1 | 1 | 0% | 1,516 | 5,150 | +240% | 0 | 0 | — |
▸case-01 Our team generated a comprehensive morphological matrix outlining possible climate policy outcomes and economic responses. Please evaluate the pairwise compatibility of all parameter choices to prune out contradictory futures, rank the feasible option sets, and produce detailed narrative write-ups for the top resulting configurations while verifying their causal logic. | fail→pass | 31,427 | 28,002 | -11% | 1 | 1 | 0% | 5,465 | 5,240 | -4% | 0 | 0 | — |
▸case-05 We have 15 consistent parameter sets for smart grid deployment options. We need to rank them to select the top 5 for narrative development. A colleague suggested ranking strictly by implementation cost. What multidimensional ranking criteria should be applied? | fail→pass | 13,416 | 13,199 | -2% | 1 | 1 | 0% | 2,174 | 2,511 | +16% | 0 | 0 | — |
▸case-06 We generated narrative write-ups for 4 energy transition scenarios based on filtered morphological parameter sets. During validation, we noticed scenario #2 completely ignored its assigned low-carbon tax setting and introduced an unlisted subsidy parameter. How should this validation failure be handled? | pass→pass | 14,049 | 6,818 | -51% | 1 | 1 | 0% | 2,132 | 1,614 | -24% | 0 | 0 | — |
▸case-07 In our aerospace launch concept matrix, Configuration A contains one completely inconsistent parameter pair and two fully consistent pairs. Configuration B contains two fully consistent pairs and one conditionally consistent pair. If we want primary unflagged scenario candidates, how should each configuration be marked? | pass→pass | 9,822 | 3,091 | -69% | 1 | 1 | 0% | 1,558 | 973 | -38% | 0 | 0 | — |
▸case-08 We have defined a Zwicky Box for deep-sea mining policy futures with 4 parameters and 3 values each. What specific sub-task should be spawned first to evaluate pairwise compatibility across all parameter dimensions? | fail→pass | 9,070 | 3,394 | -63% | 1 | 1 | 0% | 1,706 | 1,051 | -38% | 0 | 0 | — |
▸case-09 We downselected 4 optimal morphological configurations for space exploration logistics. Now we are ready to build full scenario narratives. What specific context must be passed into the narrative construction step for each configuration? | fail→pass | 16,664 | 7,854 | -53% | 1 | 1 | 0% | 2,421 | 1,696 | -30% | 0 | 0 | — |
▸case-10 When reviewing 5 surviving scenario configurations for supply chain resilience, all 5 options select 'regional supplier' for parameter 1 and 'high automation' for parameter 2, differing only in minor software choices. Does this selection pass the quality checks? | pass→pass | 14,304 | 6,537 | -54% | 1 | 1 | 0% | 2,162 | 1,508 | -30% | 0 | 0 | — |
▸case-12 In a 4-parameter morphological analysis for retail digital transformation, which configurations qualify as primary scenario candidates during initial filtering without needing relaxation? | pass→pass | 14,912 | 5,189 | -65% | 1 | 1 | 0% | 2,426 | 1,294 | -47% | 0 | 0 | — |
▸case-13 We are validating a scenario narrative titled 'Hyper-Local Logistics'. The configuration parameter explicitly specified 'drone delivery only', but the narrative text describes a fleet of diesel delivery vans. What quality check fails and what is the remediation? | pass→pass | 7,041 | 4,024 | -43% | 1 | 1 | 0% | 1,126 | 1,183 | +5% | 0 | 0 | — |
▸case-14 During validation of a morphological scenario narrative for nuclear fusion commercialization, the text states that regulatory approval was granted in 2026, which then directly caused prototype funding to be unlocked in 2024. Does this pass validation? | pass→pass | 7,729 | 4,687 | -39% | 1 | 1 | 0% | 1,234 | 1,181 | -4% | 0 | 0 | — |
▸case-15 We completed Cross-Consistency Assessment for a defense capability matrix, but due to time constraints, we skipped assessing parameter pairs between Domain A and Domain D. Can we proceed directly to filtering and narrative generation? | fail→pass | 13,604 | 5,667 | -58% | 1 | 1 | 0% | 2,063 | 1,356 | -34% | 0 | 0 | — |
▸case-20 We are starting a strategic foresight study on national water infrastructure. How do we define parameter dimensions, values, and construct a Zwicky Box morphological field from expert interviews? | pass→pass | 18,769 | 14,914 | -21% | 1 | 1 | 0% | 2,921 | 2,558 | -12% | 0 | 0 | — |
▸case-16 We have 12 morphological configurations that survived pairwise filtering for sustainable aviation fuel adoption. How many top configurations should typically be selected for full narrative construction? | fail→pass | 12,007 | 3,424 | -71% | 1 | 1 | 0% | 1,678 | 1,014 | -40% | 0 | 0 | — |
▸case-17 We have 6 surviving configurations with identical total consistency scores for healthcare IT scenarios. Configs 1, 2, and 3 use identical infrastructure settings, while Config 4 uses a completely different cloud architecture. How should diversity scoring break this tie? | pass→pass | 15,394 | 9,297 | -40% | 1 | 1 | 0% | 2,474 | 1,817 | -27% | 0 | 0 | — |
▸case-18 In ranking surviving configurations for high-speed rail corridor planning, what does the relevance score measure when evaluating scenario candidates? | fail→pass | 10,850 | 6,320 | -42% | 1 | 1 | 0% | 1,606 | 1,420 | -12% | 0 | 0 | — |
▸case-19 When initiating narrative construction for selected morphological options in a smart city masterplan, which specific SOP handles building rich narratives using the Shell method? | pass→pass | 11,819 | 1,544 | -87% | 1 | 1 | 0% | 1,712 | 691 | -60% | 0 | 0 | — |
▸case-21 Our finance team has a cash flow model with triangular probability distributions for inflation, interest rates, and commodity prices. How do we run a 10,000-iteration Monte Carlo simulation to calculate Value at Risk (VaR)? | pass→fail | 18,893 | 21,562 | +14% | 1 | 1 | 0% | 3,575 | 4,281 | +20% | 0 | 0 | — |
▸case-22 We built a decision tree for a pharmaceutical clinical trial investment with expected monetary value (EMV) at each node. How do we conduct a one-way and two-way sensitivity analysis on success probabilities? | pass→pass | 15,652 | 17,534 | +12% | 1 | 1 | 0% | 2,921 | 3,645 | +25% | 0 | 0 | — |
▸case-23 What specific outputs must be returned from the initial pairwise evaluation stage in a smart grid Zwicky Box analysis before any filtering rules are applied? | fail→fail | 11,903 | 6,920 | -42% | 1 | 1 | 0% | 1,784 | 1,521 | -15% | 0 | 0 | — |