{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"deadweight_loss_reduction__engineering_design","archetype_slug":"deadweight_loss_reduction","domain_slug":"engineering_design","title":"Scarcity-weighted booking credits for shared validation facilities","opportunity_summary":"Conditionally replace flat, first-come reservations at one shared engineering validation facility with scarcity-weighted internal credits, cancellation release, and protected priority classes. The proposal could retime flexible demand and reduce priority-adjusted validation lead time, but the presence of usable off-peak capacity and an incentive-driven booking mismatch is unverified.","adopter_authorizer":"The shared-facility owner, with approval from safety, quality, workforce, and affected-program representatives, can authorize analysis, shadow simulation, and a bounded scheduling pilot that does not alter mandatory validation requirements.","scores":{"meaningful_impact":{"score":3,"rationale":"Reducing delayed validation and idle usable facility-hours could materially improve development flow and preserve timely test evidence, but the packet provides no observed delay magnitude, affected volume, or prevalence."},"stakeholder_pull":{"score":2,"rationale":"Engineering teams, facility operators, safety and quality owners, and downstream programs are identifiable beneficiaries, but the sealed candidate contains no stakeholder requests, commitments, complaints, or demonstrated willingness to adopt the mechanism."},"incremental_advantage":{"score":3,"rationale":"Scarcity-weighted credits and cancellation release offer a testable improvement over flat first-come booking by encouraging flexible requests to retime. Advantage is conditional because absolute shortages, incompatibility, staffing limits, or stale quotas could make capacity expansion, operational repair, or entitlement reassignment superior."},"distinctiveness_plausibility":{"score":3,"rationale":"The combination of internal scarcity credits, protected priority classes, cancellation release, and facility-specific guardrails is coherent, but prior art is explicitly unsearched, so distinctiveness cannot be established closed-book."},"technical_implementability":{"score":4,"rationale":"The mechanism changes scheduling and accounting rather than validation equipment, and the packet specifies logs, a shadow simulation, one-facility scope, guardrails, and rollback. Implementation still depends on request-slot compatibility data, usable scarcity forecasts, and resistance to gaming."},"adoption_authority_feasibility":{"score":4,"rationale":"A facility owner and required co-approvers are explicitly identified, the intervention stays within scheduling authority, and mandatory tests remain protected. Multiple governance approvals and potentially contested credit allocations prevent a very favorable score."},"evidence_readiness":{"score":4,"rationale":"The proposal names twelve months of booking and operations records, relevant controls, baseline comparisons, falsifiers, measurable outcomes, and a shadow stage. Readiness remains conditional on record completeness, compatibility data, and sufficient variation for attribution."},"safety_net_benefit":{"score":3,"rationale":"Protected safety-critical and mandatory priority, rollback conditions, and attention to operator burden provide meaningful downside protection, while faster validation might benefit people relying on tested products. The packet does not establish realized safety gains or benefits concentrated among otherwise underserved parties."},"scalability":{"score":3,"rationale":"A scheduling mechanism could be adapted to multiple shared facilities, but scarcity bands, fixtures, staffing, setup dependencies, priority rules, and credit governance are facility-specific and may require substantial revalidation at each site."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Prepare and analyze twelve months of de-identified booking and operating records, construct request-slot compatibility sets, control for outages and staffing, audit proposed credit allocation, and conduct a four-week shadow simulation against the flat-booking baseline.","confidence":"MODERATE","assumptions":["One facility and its existing records are in scope.","Records can be extracted without purchasing major new systems.","The work requires data engineering, operations analysis, governance coordination, and evaluation labor.","No live scheduling changes or equipment modifications occur."]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Configure a reversible one-facility scheduling workflow, define scarcity bands and credit budgets, implement protected classes and cancellation rules, establish monitoring and rollback controls, and train affected schedulers and teams.","confidence":"LOW","assumptions":["The existing reservation system can be configured or supplemented rather than replaced.","No validation equipment or facility-hours are added.","Safety, quality, workforce, and program representatives participate in rule design.","Integration complexity and required security or compliance work are not specified."]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Operate and independently evaluate an eight-week pilot on one non-safety-critical facility, including support, anomaly review, access and workload monitoring, matched-baseline analysis, and rollback readiness.","confidence":"LOW","assumptions":["A pilot is attempted only after retrospective and shadow-stage guardrails pass.","Existing operating hours and staffing limits remain unchanged.","Evaluation must distinguish scheduling effects from outages, staffing changes, and project-cycle variation.","The band excludes capacity expansion and permanent enterprise rollout."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain the scheduling rules and software for one facility, refresh scarcity bands and credit allocations, administer exceptions, monitor gaming, access concentration, operator burden, test quality, and required-test timeliness, and conduct periodic governance reviews.","confidence":"LOW","assumptions":["Recurring work includes fractional scheduling, analytics, software-support, audit, and governance labor.","The mechanism remains limited to one facility.","Major software replacement, new staffing shifts, and equipment expansion are excluded.","Monitoring cannot be eliminated because demand patterns and organizational power may change."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"Queues, cancellations, usable idle capacity, and lead times make the proposed problem observable, but the candidate explicitly labels its occurrence in any given facility as a hypothesis and supplies no booking-log evidence."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The facility owner is identified as the scheduling authority, subject to explicit approval from safety, quality, workforce, and affected-program representatives."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The candidate claims that scarcity-weighted credits plus cancellation release will improve usable off-peak utilization and priority-adjusted lead time relative to flat first-come booking without worsening protected outcomes, and it supplies an intervention falsifier."},"bounded_next_evidence_step":{"status":"YES","reason":"A twelve-month controlled record analysis followed by a four-week shadow simulation on one facility is bounded, non-live, and can reject both the diagnosis and the proposed retiming mechanism against the flat-booking baseline."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first evidence work is retrospective and simulated; mandatory requirements and safety-critical precedence are excluded from discretionary tradeoffs, and the packet specifies approvals, halt criteria, and rollback before any later pilot."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The one-facility stages are scopeable into broad resource bands, but the packet gives no scheduling-system architecture, data condition, staffing effort, compliance requirements, or integration burden sufficient to validate those ranges externally."}},"blocking_evidence":["Booking and operations records showing that peak queues coexist with usable compatible off-peak capacity after controlling for outages, setup, fixtures, staffing, and mandatory priorities.","Evidence that a meaningful share of requests can retime and that booking-rule variables, rather than absolute shortage or correlated milestones, explain the observed mismatch.","A credit-allocation design that does not encode program power, plus predefined protected classes, access-concentration bounds, and gaming audits.","Shadow-simulation evidence that the mechanism improves usable off-peak utilization or priority-adjusted lead time relative to flat booking without harming required-test timeliness, operator burden, access, or test quality.","System and workflow discovery sufficient to validate implementation effort, monitoring requirements, and broad recurring cost.","Prior-art research before making any claim of novelty or unusual distinctiveness."],"next_evidence_step":"For one candidate facility, analyze a fixed twelve-month window of de-identified booking, utilization, cancellation, outage, staffing, setup, compatibility, priority, and lead-time records; compare observed flat-booking outcomes with a four-week replay or shadow simulation of scarcity-weighted credits. Stop if controlled booking-rule variables do not predict queues plus usable slack, if insufficient requests are retimeable, or if the simulated rule fails to improve usable off-peak utilization or priority-adjusted lead time without breaching predefined access, workload, quality, and required-test guardrails.","research_questions":["After operational exclusions, how many idle facility-hours are genuinely compatible with delayed requests?","Do booking timing, retention, and late cancellation predict lead time after controlling for shortages, staffing, setup dependencies, fixtures, outages, milestones, and mandatory priority?","What fraction of requests has enough scheduling flexibility for scarcity signals to change behavior?","How should credits be allocated without converting organizational budget or hierarchy into facility access?","How sensitive are outcomes to scarcity-band forecast errors, strategic urgency claims, request splitting, and demand rebound?","Does the shadow comparison improve priority-adjusted lead time and usable utilization without worsening access concentration, operator burden, test quality, or required-test timeliness?","Would quota reassignment, staffing repair, compatibility matching, or capacity expansion better address the diagnosed constraint?","What scheduling-system changes and recurring governance labor would implementation require?","What relevant prior mechanisms exist for internal capacity allocation, laboratory scheduling credits, congestion pricing, or engineering test facilities?"],"recommendation":"VALIDATE_PROBLEM_FIRST","uncertainty_constraints":["Problem occurrence, scale, and stakeholder demand are hypotheses rather than observed facts.","Nominal off-peak utilization may not represent usable capacity for queued requests.","Internal credits may represent organizational influence rather than engineering urgency or value.","Causal attribution may be confounded by outages, staffing, fixtures, setup dependencies, program cycles, and correlated milestones.","Protected priority demand may leave too little adjustable capacity for the mechanism to matter.","Implementation and recurring cost bands are resource-equivalent estimates based only on the bounded scope, not verified system requirements.","No live pilot is warranted until retrospective diagnosis and shadow comparison pass predefined falsifiers and guardrails.","Distinctiveness, prior-art position, prevalence, market size, and realized impact are unmeasured."],"closed_book_prior_art_boundary":"The packet declares prior art unsearched and provides no external evidence. This assessment therefore makes no claim about novelty, prevalence, market availability, existing internal-capacity mechanisms, realized effectiveness, or competitive differentiation; distinctiveness remains an uncertainty requiring a bounded external review."}