{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"negative_space_design__logistics_supply_chain","archetype_slug":"negative_space_design","domain_slug":"logistics_supply_chain","title":"Protected visual isolation for critical shipment exceptions","opportunity_summary":"Test whether reversibly suppressing routine shipment content and giving actionable exceptions protected visual space improves correct recognition relative to both an ordinary dense view and a ranked/highlighted dense rival. The mechanism is specific and safely testable, but problem prevalence, operator demand, real operational benefit, and distinctiveness remain unsupported externally.","adopter_authorizer":"The control-tower operations owner could authorize a display-only evaluation; dispatchers and supervisors would adopt the interface while retaining existing authority over shipment actions.","scores":{"meaningful_impact":{"score":3,"rationale":"Earlier correct recognition could accelerate rerouting, escalation, expediting, or notification and reduce service failures, but the packet provides no evidence about exception frequency, current delay magnitude, or realized downstream impact."},"stakeholder_pull":{"score":2,"rationale":"Dispatchers and supervisors have a plausible interest in reducing repeated scanning and overlooked exceptions, but the sealed candidate contains no interviews, requests, observed adoption behavior, or other affirmative demand evidence."},"incremental_advantage":{"score":3,"rationale":"Protected spacing and reversible suppression could reduce attention competition beyond ranking, color, icons, or alerts, but superiority to the stated nearest rival is only a testable hypothesis and expert comparison could worsen."},"distinctiveness_plausibility":{"score":2,"rationale":"The composition is concretely differentiated from a dense ranked/highlighted view, but prior art is explicitly unsearched and overlap with established exception-management, progressive-disclosure, or dashboard-attention practices is unverified."},"technical_implementability":{"score":4,"rationale":"A display-only alternate view, reversible suppression, context retrieval, and logging appear technically bounded without changing shipment-control authority; implementation still depends on feed quality, relevance mapping, accessibility, and usable historical replay data."},"adoption_authority_feasibility":{"score":4,"rationale":"The candidate identifies a control-tower operations owner able to authorize a display-only pilot and preserves existing action authority, although actual organizational approval, worker acceptance, and compliance requirements are not evidenced."},"evidence_readiness":{"score":4,"rationale":"The packet specifies baselines, a credible rival, recognition and context metrics, falsifiers, rollback conditions, and a reversible crossover design; readiness is reduced by unknown replay-data availability and absence of validated criticality labels."},"safety_net_benefit":{"score":4,"rationale":"The proposal retains the full audit view, forbids automatic shipment actions and concealment of safety or compliance information, and defines immediate rollback triggers. Residual risk remains that suppressed weak signals or dependencies could be missed."},"scalability":{"score":3,"rationale":"A display-layer mechanism could in principle be reused across control-tower views, but each operation may require local relevance rules, feed integration, accessibility validation, workflow configuration, and protection against renewed clutter."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"Prepare a bounded historical-replay prototype and conduct a within-operator comparison of the ordinary dense view, ranked/highlighted rival, and protected-negative-space view, including analysis of recognition time, correctness, missed exceptions, and context retrieval.","confidence":"LOW","assumptions":["Existing historical event data and an interface test harness are available.","Critical exceptions can be labeled without purchasing a major new dataset.","The study uses a limited operator sample and does not include live operational deployment.","Costs include design, engineering, operator time, coordination, and evaluation."]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Build a production-capable alternate display mode with reversible suppression, relevance mapping, complete-context access, auditability, accessibility support, feed-health checks, telemetry, and rollback controls for one control-tower environment.","confidence":"LOW","assumptions":["The existing dashboard supports extension without replacement.","No new shipment-event platform or major data remediation program is required.","Security and compliance review remain limited to a display-only workflow.","The band includes engineering, design, testing, training preparation, and partner coordination."]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Validate and launch the display mode across an initial operating team, including configuration, accessibility and workflow testing, supervisor training, operator onboarding, monitoring, evaluation, and rollback readiness.","confidence":"LOW","assumptions":["Launch is limited to one organization or control-tower program.","Shipment actions remain manual and governed by existing roles.","No hardware replacement or around-the-clock external implementation team is required.","Local exception definitions and escalation policies are sufficiently documented."]},"annual_recurring":{"band_2026_usd":"10K_TO_50K","scope":"Maintain relevance rules and interface behavior, monitor feed health and recognition outcomes, support users, review accessibility, and prevent feature additions from eroding protected space.","confidence":"LOW","assumptions":["The feature operates within an existing dashboard and support organization.","Recurring work is primarily part-time product, analytics, and operations effort.","No separate high-cost software license or dedicated full-time team is required.","Material data-quality remediation and expansion to additional organizations are excluded."]}},"research_burden":"MODERATE","earliest_credible_horizon":"0_TO_3_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet gives a recognizable mechanism and observable failure state, but supplies no external observation showing that delayed recognition from visual attention competition occurs materially in the target setting."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Dispatchers and supervisors are identifiable adopters, and the control-tower operations owner is explicitly identified as the display-only pilot authorizer."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that protected spacing plus reversible suppression improves correct recognition over both an ordinary dense view and a ranked/highlighted dense rival, with context-recovery harms measured separately."},"bounded_next_evidence_step":{"status":"YES","reason":"A reversible historical-replay crossover can compare three specified views using recognition time, accuracy, missed exceptions, and context-retrieval errors without authorizing shipment actions."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"Existing role holders retain action authority; automatic rerouting and concealment of critical information are excluded; the full audit view remains available; and explicit halt and rollback conditions address missed exceptions and inaccessible context."},"implementation_cost_scope_and_range":{"status":"YES","reason":"A display-layer prototype, single-environment startup, initial-team launch, and recurring maintenance can each be bounded in broad resource-equivalent bands, although the estimates remain low-confidence because the existing platform and data condition are unspecified."}},"blocking_evidence":["Whether attention competition, rather than missing data, unclear authority, or response-capacity constraints, materially contributes to delayed recognition in the intended control room.","Whether the negative-space view improves both recognition speed and correctness against the ordinary dense baseline and the ranked/highlighted rival.","Whether suppression increases missed dependencies, context-recovery errors, false escalation, or loss of expert network-pattern detection.","Whether operators and supervisors perceive enough workflow value to adopt the alternate view.","Whether existing dashboard architecture, historical data, and criticality labels support the proposed test within the estimated scope.","Whether the mechanism composition is distinct from relevant existing exception-management and progressive-disclosure practices."],"next_evidence_step":"Run a bounded, non-live historical-replay crossover with representative operators and a pre-specified set of labeled shipment scenarios, comparing the ordinary dense view, the ranked/highlighted dense rival, and the protected-negative-space view. Measure time to correct recognition, recognition accuracy, missed exceptions, false escalation, and context-retrieval errors. Stop advancement if the proposed view fails to improve recognition against both comparators without degrading accuracy or context recovery.","research_questions":["How often are critical exceptions recognized late despite the required data already being present?","Do crowding or attention-competition measures predict recognition failures after accounting for missing data, authority ambiguity, and workload capacity?","Does protected visual isolation outperform ranking and highlighting on recognition time while preserving or improving accuracy?","Which routine records or weak signals must remain immediately visible to preserve network-pattern detection?","How should suppressed-content indicators and context retrieval be designed so operators do not mistake the focal view for complete data?","Do results differ by operator experience, exception type, workload, accessibility needs, or control-room configuration?","What dashboard changes, data labeling, governance review, training, and ongoing rule maintenance would deployment require?","Does prior-art research show that the claimed composition is already established in exception-management or control-tower interfaces?"],"recommendation":"VALIDATE_PROBLEM_FIRST","uncertainty_constraints":["All empirical logistics claims are hypotheses or structural inferences from the sealed packet.","Problem prevalence, stakeholder demand, market size, realized impact, and current recognition performance are unmeasured.","World novelty and prior-art distinctiveness are unverified.","Cost bands are resource-equivalent estimates based on assumed reuse of an existing dashboard and usable historical data.","No live deployment, automatic shipment action, or operational outcome improvement is inferred from the proposed first evidence step."],"closed_book_prior_art_boundary":"Prior art is unsearched and unverified in this closed-book assessment; no claim is made about novelty, prevalence, competitive differentiation, or overlap with existing exception-management, control-tower, progressive-disclosure, and dashboard-attention practices."}