{"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 review-interface composition that suppresses selected routine competitors, protects visual space around unresolved exceptions, and explicitly diagnoses empty states while preserving evidence, traceability, and auditor judgment. Its effect on exception detection and disposition remains hypothetical.","adopter_authorizer":"Audit methodology owners and workpaper-system owners may authorize a sandbox prototype; engagement partners retain audit-judgment and sign-off authority.","scores":{"meaningful_impact":{"score":4,"rationale":"Missing or delaying a material exception could have serious audit consequences, and reducing routine scanning could improve reviewer attention. The prevalence and realized magnitude of exception-signal crowding are unsupported."},"stakeholder_pull":{"score":2,"rationale":"The packet identifies affected reviewers, partners, staff, clients, and report users but supplies no evidence that any adopter has requested the intervention or prioritizes this problem."},"incremental_advantage":{"score":3,"rationale":"Protected spacing, recoverable suppression, and explicit empty-state diagnosis offer a testable difference from risk-based sorting or filtering, but no comparative performance evidence establishes an advantage."},"distinctiveness_plausibility":{"score":2,"rationale":"The mechanism composition is specifically articulated, but prior art in audit interfaces and workpaper systems is unsearched, so external distinctiveness cannot be verified."},"technical_implementability":{"score":4,"rationale":"A non-authoritative prototype using recoverable suppression and unchanged underlying evidence appears technically bounded and reversible. Production integration, accessibility behavior, and evidence-recovery performance remain unspecified."},"adoption_authority_feasibility":{"score":4,"rationale":"The packet identifies prototype authorizers, preserves engagement-partner authority, excludes live-opinion use, and provides halt and rollback rules. Organizational willingness and production approval requirements are unknown."},"evidence_readiness":{"score":3,"rationale":"The candidate provides baseline, nearest rival, historical replay concept, falsifiers, harm outcomes, and rollback conditions, but lacks predeclared outcomes, tolerances, assignment, case mix, and stopping rules."},"safety_net_benefit":{"score":4,"rationale":"If effective, the design could improve notice and disposition of unresolved high-risk exceptions without deleting evidence, while explicit empty-state diagnosis addresses false-completion risk. Countervailing detection and concealment risks require testing."},"scalability":{"score":3,"rationale":"The interface mechanism could potentially recur across review queues and workpapers, but heterogeneous audit methods, systems, accessibility requirements, and engagement contexts make transferability uncertain."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Design and evaluate a sandbox prototype through controlled replay of a fixed de-identified historical workpaper set, comparing the baseline, nearest rival, and proposed composition with consenting reviewers.","confidence":"MODERATE","assumptions":["A partner can provide appropriately de-identified cases containing known or seeded exceptions.","The prototype remains separate from authoritative workpapers and requires no production integration.","The scope includes protocol design, reviewer labor, accessibility checks, analysis, compliance review, and secure data handling."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Develop a production-capable implementation for one workpaper or review-queue environment, including integration, permissions, audit logging, accessibility, evidence recovery, validation, and governance approval.","confidence":"LOW","assumptions":["Deployment is limited to one organization and one principal platform.","Existing identity, evidence storage, and audit-log services can be reused.","The packet does not specify vendor architecture, customization constraints, or required assurance processes."]},"operational_launch":{"band_2026_usd":"250K_TO_1M","scope":"Launch a controlled organizational rollout with configuration, training, monitoring, support, change management, harm thresholds, and rollback readiness.","confidence":"LOW","assumptions":["Launch follows successful sandbox and preproduction evidence.","No automated clearance, sign-off, or modification of audit criteria is introduced.","Multiple engagement teams require training and supervised adoption, but enterprise-wide scale is excluded."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain interface rules, accessibility and regression testing, monitoring, support, governance review, and evidence-recovery controls for the bounded deployment.","confidence":"LOW","assumptions":["The implementation uses existing workpaper infrastructure.","Recurring scope excludes major platform replacement and broad international rollout.","Ongoing evaluation is required to detect false clearance, retrieval errors, and context-specific performance degradation."]}},"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, revisited, or incorrectly signed-off exception-bearing items—and supplies a falsifier based on controlled baseline observation."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Audit methodology owners and workpaper-system owners are identified as sandbox authorizers, with engagement partners retaining judgment and sign-off authority."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposed protected spacing, recoverable suppression, and empty-state diagnosis can be compared with both the ordinary dense baseline and risk-based sorting or filtering."},"bounded_next_evidence_step":{"status":"YES","reason":"The packet authorizes replay of fixed de-identified historical workpapers with consenting reviewers, known or seeded exceptions, no official-file writes, and explicit harm outcomes."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"Required evidence remains recoverable; automatic clearance, live-opinion use, and authority transfer are excluded; and specified accessibility, evidence-access, empty-state, and detection failures trigger halt and rollback."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"A sandbox study can be bounded, but production architecture, organizational scale, integration requirements, compliance review, and rollout scope are absent, making implementation ranges assumption-dependent."}},"blocking_evidence":["Controlled evidence that surrounding visual competition contributes meaningfully to exception misses or delays rather than helping reviewers identify population patterns.","Comparative evidence that the proposal improves detection or escalation accuracy over risk-based sorting or filtering without unacceptable false clearance, evidence-retrieval errors, accessibility loss, or review-time increases.","A predeclared protocol specifying primary outcomes, harm tolerances, reviewer assignment, case mix, recovery-error definitions, and stopping rules.","External prior-art evidence distinguishing the composition from existing exception-focused, progressive-disclosure, and empty-state designs.","Evidence that effects transfer beyond a de-identified replay set before any production or live-audit use is considered."],"next_evidence_step":"With an authorized audit partner, predeclare outcomes and harm tolerances, then run a non-authoritative randomized replay using a fixed de-identified case set with known or seeded exceptions, comparing the ordinary dense baseline, risk-based sorting or filtering, and the protected-space prototype. Falsify progression if crowding is not associated with baseline misses or if the prototype fails to improve detection or escalation accuracy while staying within thresholds for false clearance, retrieval errors, accessibility, and review time.","research_questions":["Does surrounding routine content predict exception misses or delayed disposition under controlled baseline review?","Does protected exception space outperform risk-based sorting or filtering on detection and escalation accuracy?","Do suppressed routine results contain population patterns whose loss reduces anomaly detection?","Can reviewers recover all evidence immediately and correctly interpret every empty state?","Are effects consistent across reviewer experience levels, case types, and workpaper structures?","What existing audit-interface designs implement exception focus, progressive disclosure, protected spacing, or diagnosed empty states?","What production integration and governance requirements determine deployment cost and authorization?","Do replay-study effects generalize sufficiently to justify a separately authorized, non-opinion-bearing operational trial?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["No external sources were consulted.","Problem prevalence, stakeholder demand, market size, and realized impact are unmeasured.","World novelty and external distinctiveness are unmeasured.","Cost bands are resource-equivalent planning ranges, not estimates, and depend heavily on platform and organizational scope.","The intervention's effectiveness, safety, accessibility, and generalizability remain hypothetical.","The sealed packet does not provide a complete statistical or operational protocol."],"closed_book_prior_art_boundary":"Prior art is unsearched and unverified. This closed-book assessment therefore makes no claim about novelty, prevalence, or differentiation from existing audit-review interfaces, workpaper systems, progressive-disclosure patterns, exception-focused views, or empty-state designs."}