{"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__security_intelligence","archetype_slug":"negative_space_design","domain_slug":"security_intelligence","title":"Protected Warning Space with Recoverable Suppression","opportunity_summary":"Evaluate whether a watch-floor display that moves nonessential routine content into an instantly recoverable secondary layer, protects visual space around consequential warnings, and explicitly distinguishes quiet conditions from collection or access failure improves warning recognition without impairing context, accessibility, dissent, provenance, or auditability.","adopter_authorizer":"The watch-floor operations lead can authorize a shadow-mode replay with analytic-standards, accessibility, security, and data-system-owner approval; operational suppression would require their joint sign-off.","scores":{"meaningful_impact":{"score":4,"rationale":"Faster recognition of high-consequence warnings and avoidance of false reassurance could materially improve time-sensitive decisions, but the packet provides no evidence about failure prevalence or realized effect size."},"stakeholder_pull":{"score":2,"rationale":"Affected stakeholders and authorizers are identified, but the sealed candidate contains no expressed demand, observed purchasing intent, adoption request, or evidence that watch-floor leaders prioritize this intervention."},"incremental_advantage":{"score":4,"rationale":"Relative to the named ranked-dashboard rival, the proposal adds protected absence, enforced spacing, recoverable suppression, and diagnosed empty states rather than relying only on scores, color, or flashing; performance advantage remains untested."},"distinctiveness_plausibility":{"score":3,"rationale":"The mechanism composition is specifically differentiated from the stated baseline and nearest rival, but prior art is explicitly unsearched and no broader distinctiveness claim can be supported closed-book."},"technical_implementability":{"score":4,"rationale":"A duplicate-display replay, reversible editorial rules, retained source records, secondary-layer recovery, and labeled collection states appear technically tractable, although secure integration, accessibility, latency, and recovery behavior are not demonstrated."},"adoption_authority_feasibility":{"score":3,"rationale":"The operations lead and required joint approvers are clearly named, but multiple standards, accessibility, security, and system-owner approvals make authorization contingent and no willingness or operational sign-off is established."},"evidence_readiness":{"score":4,"rationale":"The packet specifies matched nonoperational replay, adjudicated scenarios, baseline comparison, outcome measures, distinct falsifiers, and halt conditions; predefined thresholds, sample construction, and expert-workflow subgroup plans remain to be set."},"safety_net_benefit":{"score":4,"rationale":"Recoverability, explicit no-data labels, mandatory-information exemptions, retained source records, shadow mode, halt criteria, and immediate baseline rollback provide a strong testing safety net, though suppression bias and false reassurance still require evidence."},"scalability":{"score":3,"rationale":"The display mechanism could be replicated across watch-floor interfaces, but warning criteria, collection-health semantics, accessibility needs, institutional bias controls, security integration, and expert workflows are likely site-specific."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Design and run one matched, nonoperational replay study on a duplicate display, including scenario preparation, prototype configuration, analyst sessions, accessibility review, secure data handling, measurement, and analysis.","confidence":"LOW","assumptions":["Previously adjudicated scenarios and a usable duplicate display are available.","No live operational integration or new intelligence collection is required.","Costs include analyst time, approvals, study design, secure engineering support, and evaluation.","The packet provides no staffing rates, sample size, facility requirements, or data-access costs."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a limited operationally eligible implementation after successful evidence, including production engineering, rule governance, secure integration, accessibility validation, audit logging, training, approvals, and rollback controls.","confidence":"LOW","assumptions":["Existing dashboard and source systems can support a recoverable secondary layer and collection-health states.","Mandatory provenance, confidence, dissent, caveats, and escalation cues remain available.","This excludes broad fleet rollout and major source-system replacement.","Security accreditation and multi-party coordination are required but not unusually prolonged."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch at one watch-floor setting with staged configuration, operator training, monitoring, incident procedures, governance review, evaluation, and maintained baseline rollback capability.","confidence":"LOW","assumptions":["Replay evidence supports proceeding and all named authorities approve.","The launch uses existing displays and core data infrastructure.","Editorial thresholds require local validation and human governance.","No automated operational response is added."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain one deployed setting through rule review, accessibility and security checks, software support, audit sampling, analyst retraining, outcome monitoring, and collection-state maintenance.","confidence":"LOW","assumptions":["Recurring work is primarily labor and software maintenance rather than new equipment.","Warning and suppression rules require periodic review for institutional bias and adversarial adaptation.","The packet provides no deployment count, licensing model, staffing allocation, or compliance cadence."]}},"research_burden":"MODERATE","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate specifies observable crowding, weak warning separation, repeated context search, and ambiguous blank states, but external observation is needed to establish that these conditions cause consequential delay or misses in the target setting."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The watch-floor operations lead and the analytic-standards, accessibility, security, and data-system owners are explicitly identified as the relevant authorizing group."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that protected absence plus diagnosed empty states will outperform a continuously populated baseline and conventional salience-only ranking on detection, interpretation, recovery, and empty-state diagnosis."},"bounded_next_evidence_step":{"status":"YES","reason":"A matched, nonoperational replay on one duplicate display using adjudicated scenarios is bounded, reversible, comparison-based, and equipped with explicit outcome measures and falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"The first test has strong exclusions, halt rules, and rollback, but required approver consent is not established and the risks of biased suppression, false reassurance, lost context, accessibility failure, and adversarial threshold exploitation remain empirically unresolved."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The candidate identifies a duplicate display, recoverable layers, governance, approvals, and evaluation activities, but supplies no staffing, integration, accreditation, data-access, deployment-count, or maintenance evidence sufficient to validate a resource range."}},"blocking_evidence":["Direct observation establishing whether dense presentation and ambiguous blank states materially contribute to delayed or missed consequential warnings, rather than failures arising from collection, criteria, staffing, training, or expertise.","Matched-replay results showing improvement over the unchanged dense baseline without worse critical misses, context recovery, empty-state diagnosis, accessibility, dissent visibility, or auditability.","Evidence that expert analysts who rely on dense comparison are not materially disadvantaged, including relevant subgroup analysis.","Demonstration that suppression rules do not systematically encode institutional bias or conceal mandatory provenance, uncertainty, collection health, legal caveats, dissent, or escalation cues.","Consent and feasibility confirmation from the named operations, analytic-standards, accessibility, security, and data-system authorities.","Scoped prior-art research before any claim of novelty or broad distinctiveness."],"next_evidence_step":"Conduct a preregistered, matched nonoperational replay on one duplicate display using previously adjudicated scenarios, comparing the unchanged continuously populated baseline with protected warning space and diagnosed empty states; measure warning-detection time, critical misses, interpretation accuracy, context-retrieval success, empty-state diagnosis, and accessibility by workflow subgroup, and reject the intervention if it yields no meaningful detection or interpretation improvement or worsens any critical safety measure.","research_questions":["Are consequential warnings actually detected or interpreted later under dense display conditions after controlling for evidence quality, warning criteria, staffing, training, and analyst expertise?","What minimum protected space and suppression rule improves detection without fragmenting expert comparison or delaying recovery of relevant context?","Can analysts reliably distinguish no qualifying reports from failed collection, lost access, delayed feeds, and other unknown states?","Which information must remain continuously visible to preserve provenance, confidence, dissent, collection health, legal caveats, accessibility, and mandatory escalation?","Do outcomes differ by analyst expertise, accessibility needs, warning type, workload, or reliance on dense side-by-side comparison?","Can rule governance detect institutional bias and adversarial adaptation around thresholds before operational use?","What secure integration, accreditation, staffing, and maintenance resources would one-site deployment require?","How does the composition compare with existing watch-floor display, alert-triage, warning-design, and no-data-state practices?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Problem prevalence, stakeholder demand, realized impact, market size, and adoption willingness are unsupported by the sealed packet.","Prior art and world novelty are unmeasured; distinctiveness is only assessed against the candidate's stated baseline and nearest rival.","All cost bands are resource-equivalent planning ranges based on stated scope and assumptions, not observed prices or estimates.","Operational safety depends on preserving instantly accessible context, mandatory caveats, collection health, provenance, dissent, accessibility, and auditability.","The proposal's causal relationship between display density and warning performance remains a hypothesis.","Operational deployment is outside the authorized first step and cannot be inferred from favorable replay results alone."],"closed_book_prior_art_boundary":"No external prior-art, prevalence, market, cost, or impact evidence was consulted. The packet labels prior art UNSEARCHED, so the assessment supports only proposal-level differentiation from the stated baseline and nearest rival; it makes no claim of novelty, uniqueness, or absence of existing implementations."}