{"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__accounting_auditing","archetype_slug":"negative_space_design","domain_slug":"accounting_auditing","title":"Protected Exception Space for Audit Review","opportunity_summary":"A recoverable, non-authoritative review interface would suppress selected routine elements, reserve visual space for unresolved exceptions, and explicitly diagnose empty states while keeping all audit evidence accessible. The proposed benefit is more reliable exception detection and disposition than ordinary dense review or risk-based sorting alone, but both the crowding problem and the comparative performance effect remain unverified.","adopter_authorizer":"Audit methodology owner and workpaper-system owner for a sandbox prototype; the engagement partner retains audit judgment and sign-off authority.","scores":{"meaningful_impact":{"score":4,"rationale":"Missing or delaying an unresolved high-risk exception could affect audit accuracy, timeliness, and client or report-user outcomes. The consequence is important, but the packet supplies no evidence about frequency or aggregate impact."},"stakeholder_pull":{"score":3,"rationale":"Reviewers, engagement partners, and methodology owners have a proposal-specific interest in reliable exception disposition without weakening traceability. No adopter interviews, demand evidence, observed prevalence, or willingness to change workflows is supplied."},"incremental_advantage":{"score":3,"rationale":"Protected spacing, recoverable suppression, and diagnosed empty states form a testable increment over risk-based sorting. Advantage is uncertain because dense populations may reveal patterns and the proposal has no comparative results."},"distinctiveness_plausibility":{"score":3,"rationale":"The composition is explicitly differentiated from the stated nearest rival by protected focal space, reduced surrounding competition, and empty-state interpretation. Prior art is unsearched, so external distinctiveness cannot be rated favorably or unfavorably."},"technical_implementability":{"score":4,"rationale":"A non-authoritative sandbox interface over fixed, de-identified workpapers appears technically bounded, and evidence is intended to remain immediately recoverable. Actual workpaper-system constraints, accessibility behavior, and secure data preparation are unspecified."},"adoption_authority_feasibility":{"score":4,"rationale":"The packet identifies methodology and system owners who can authorize a sandbox and preserves engagement-partner judgment and sign-off. Production adoption would still require organizational, compliance, and system approvals not demonstrated here."},"evidence_readiness":{"score":3,"rationale":"The candidate supplies baseline, rival, falsifiers, harm outcomes, rollback rules, and a historical replay concept. It does not supply cases, recruited reviewers, primary outcomes, tolerances, assignment, sample design, or a completed protocol."},"safety_net_benefit":{"score":4,"rationale":"The prototype is designed to surface unresolved exceptions without deleting evidence or authorizing clearance, and it can revert to the unchanged baseline. Its safety value remains conditional because suppression could hide population patterns or cause false-completion interpretations."},"scalability":{"score":3,"rationale":"The mechanism could in principle be represented across review queues and workpapers, but the packet gives no evidence about portability across platforms, audit types, reviewer populations, or live engagement conditions."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Design and conduct one controlled, non-live replay study comparing the dense baseline, risk-based sorting or filtering, and the protected-space prototype using a fixed de-identified case set and consenting reviewers.","confidence":"MODERATE","assumptions":["A limited set of historical workpapers can be lawfully de-identified and prepared.","The prototype is a sandbox interface rather than a production integration.","Costs include audit-expert time, study design, software work, accessibility checks, data governance, and analysis.","No authoritative records or live audit opinions are affected."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Build and validate a limited production-capable implementation for one workpaper platform or review workflow, including recoverability, access controls, logging, accessibility, and governance controls.","confidence":"LOW","assumptions":["Deployment is limited to one organization and one principal system.","Required evidence remains stored and immediately recoverable.","Existing identity, logging, and workpaper infrastructure can be reused.","The band excludes broad multi-platform rollout and major legacy-system replacement."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch the validated feature to a bounded audit group with training, methodology approval, support, monitoring, incident response, and post-launch comparative evaluation.","confidence":"LOW","assumptions":["The evidence study supports proceeding without redesigning the core mechanism.","Launch remains bounded and retains human judgment and sign-off.","Costs include reviewer training, compliance review, partner coordination, monitoring, and evaluation.","No estimate is made for enterprise-wide or multinational deployment."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain the interface and controls for a bounded organizational deployment, including software support, accessibility regression testing, governance review, monitoring, training refreshes, and periodic outcome audits.","confidence":"LOW","assumptions":["The feature runs on an existing workpaper platform.","Recurring work does not include major platform redevelopment.","Ongoing review checks for false clearance, retrieval errors, detection degradation, and misuse of suppression.","Scale, regulatory scope, and number of supported workflows remain unspecified."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The packet defines an observable failure—missed, delayed, or incorrectly signed-off exception-bearing items amid competing routine content—and provides a falsifier independent of accepting the proposed design."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Audit methodology and workpaper-system owners are identified as sandbox authorizers, while the engagement partner retains judgment and sign-off authority."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The protected-space composition can be compared directly with both the ordinary dense baseline and risk-based sorting or filtering on detection, escalation, retrieval, clearance error, and review-time outcomes."},"bounded_next_evidence_step":{"status":"YES","reason":"The packet authorizes a fixed, de-identified historical replay with consenting reviewers, seeded and known exceptions, no writes to official files, and explicit halt and rollback conditions."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"For the bounded replay, required evidence cannot be deleted, automatic clearance and live-opinion use are excluded, authoritative records remain unchanged, and specified harms trigger halt and rollback."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"A sandbox and relevant owners are identified, but system architecture, data-preparation burden, compliance requirements, accessibility remediation, deployment scale, and partner availability are not supplied; the cost bands therefore depend on explicit assumptions."}},"blocking_evidence":["No controlled evidence establishes that surrounding visual competition causes meaningful exception misses or delays rather than supporting useful population-pattern recognition.","No comparison shows that protected spacing and recoverable suppression outperform the nearest rival on detection or escalation accuracy.","The rates of false clearance, empty-state misinterpretation, evidence-retrieval error, accessibility degradation, and excessive review time are unknown.","No adopter evidence establishes reviewer demand, workflow fit, or methodology-owner willingness to authorize production use.","Prior art is unsearched, so external distinctiveness from existing exception-focused, progressive-disclosure, or empty-state interface designs is unknown.","Generalization from de-identified replay cases to live engagements, platforms, audit types, and reviewer populations is unestablished."],"next_evidence_step":"Predeclare and run one non-live, counterbalanced replay study in which consenting reviewers examine the same fixed set of de-identified workpapers with known and seeded exceptions under three conditions: the ordinary dense baseline, risk-based sorting or filtering, and the protected-space prototype. Measure exception detection and escalation accuracy as primary outcomes and false clearance, evidence-retrieval errors, empty-state misinterpretation, accessibility failures, and review time as harms; stop if evidence becomes inaccessible or any predeclared harm threshold is crossed. Do not proceed if crowding is not associated with baseline failures or if the prototype fails to outperform the nearest rival within the declared tolerances.","research_questions":["Does surrounding routine content predict exception misses or delayed disposition compared with a dense view's potential benefit for population-pattern recognition?","Does the full protected-space composition improve detection or escalation accuracy beyond risk-based sorting or filtering?","Which elements—recoverable suppression, protected spacing, or explicit empty-state diagnosis—are necessary for any observed effect?","How often do reviewers misread empty states, fail to recover evidence, falsely clear items, or lose useful population context?","Are results stable across reviewer experience, case complexity, exception type, accessibility needs, and workpaper layout?","Will methodology and system owners accept the controls, monitoring duties, and workflow changes required for bounded production use?","What existing interface or workpaper designs overlap with the proposed composition, and what incremental claim remains after prior-art review?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment: no external claims about prevalence, prior art, market size, realized impact, or exact cost are made.","The proposal is a hypothesis with no supplied performance observations.","Problem severity is inferable from the stated consequence, but frequency and aggregate impact are unsupported.","Cost bands are resource-equivalent ranges conditioned on a bounded single-organization scope and unknown system constraints.","The strongest counterhypothesis is that dense passed-item populations help experienced auditors detect systemic patterns.","Replay evidence would not by itself establish safety or effectiveness in live audit engagements."],"closed_book_prior_art_boundary":"The packet identifies no searched prior art and supports only differentiation from its stated nearest rival. It does not establish novelty, rarity, prevalence, or freedom to operate relative to existing audit-review interfaces, workpaper systems, progressive-disclosure patterns, exception-focused views, or empty-state designs."}