{"schema_version":1,"assessment_id":"eoa_inverse_innovation_exp03_opportunity320_20260801","source_experiment_id":"eoa_inverse_innovation_exp03_full320_20260801","cell_id":"invariant_mode_decomposition_design__public_administration_policy","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"public_administration_policy","title":"Modal Control of Coupled Public-Service Backlogs","opportunity_summary":"Test whether linked public-service queues exhibit reproducible amplifying workload combinations and whether coordinated staffing or cross-training controls could reduce total and distributional delay without transferring backlog. The mechanism is well specified and falsifiable, but the existence, stability, causal relevance, stakeholder demand, and external distinctiveness of the proposed modes remain unsupported hypotheses.","adopter_authorizer":"An accountable public-service program administrator, with required data-governance, labor, legal, and service-equity review.","scores":{"meaningful_impact":{"score":4,"rationale":"If reproducible coupled amplification exists, damping it could reduce recurrent delays, missed targets, unequal resident burdens, and reactive reallocations across multiple offices. Impact is capped because the packet supplies no evidence of prevalence, effect size, or success in a particular administration."},"stakeholder_pull":{"score":2,"rationale":"The proposal identifies residents, staff, managers, partner agencies, and oversight actors who could benefit, but provides no interviews, requests, commitments, observed demand, or evidence that administrators prioritize this hypothesized mechanism over simpler backlog explanations."},"incremental_advantage":{"score":4,"rationale":"Relative to separate dashboards and isolated bottleneck fixes, the proposal makes a clear incremental claim: detect and selectively damp reproducible cross-queue amplification while checking total and distributional delay for burden transfer. Whether this improves decisions is not yet evidenced."},"distinctiveness_plausibility":{"score":3,"rationale":"The coupled-mode intervention is internally distinguishable from the named baseline and nearest rival, but prior art in queueing, workflow control, system dynamics, and public-service operations is explicitly unsearched, so external distinctiveness is unresolved."},"technical_implementability":{"score":3,"rationale":"The required weekly queue, flow, referral, rework, capacity, and timing variables are concretely specified, and temporal holdout testing is feasible in principle. Implementability remains uncertain because data access, definition consistency, conditioning, missing queues, nonlinearity, and modal stability are unverified."},"adoption_authority_feasibility":{"score":4,"rationale":"The packet identifies an accountable administrator who may authorize a bounded pilot and explicitly requires governance, labor, legal, and equity review. The multi-party approvals and statutory constraints add friction but do not reveal a categorical authority barrier."},"evidence_readiness":{"score":3,"rationale":"The proposal supplies observable variables, temporal validation, residual and gap checks, problem and intervention falsifiers, and halt criteria. It does not establish that usable linked historical data, adequate sample size, consistent definitions, or participating offices are actually available."},"safety_net_benefit":{"score":4,"rationale":"The design prohibits consequential individual decisions, rationing by protected attributes, personnel discipline, and retrospective-fit rollout; it also includes reversibility, subgroup-delay checks, workload limits, drift expiry, and restoration of ordinary allocation. Residual privacy, gaming, and burden-shifting risks still require review."},"scalability":{"score":2,"rationale":"The mechanism could be applied to other linked workflows, but the packet emphasizes local approximation, endogenous behavior, legal constraints, policy changes, data-definition variation, rapid mode rotation, and required re-estimation. These factors make transfer beyond a validated local setting unfavorable without substantial repeated work."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"A bounded retrospective study using de-identified weekly aggregates: governance preparation, data extraction and harmonization, model fitting on earlier weeks, later-week comparison against exogenous-driver and isolated-bottleneck explanations, residual and equity analysis, and a written go/no-go decision.","confidence":"LOW","assumptions":["One program and a limited linked workflow are studied.","Existing records contain the specified events and can be aggregated without major system reconstruction.","The band includes analyst, data-engineering, program-staff, governance, legal, and evaluation labor.","No prospective operational adjustment is included."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Preparation for a small, reversible, prospectively evaluated staffing or cross-training adjustment in volunteer offices after retrospective validation, including approvals, implementation design, staff coordination, monitoring, and evaluation setup.","confidence":"LOW","assumptions":["A small number of offices participate voluntarily.","Existing staffing and workflow systems can support the adjustment without major procurement.","Statutory service levels remain unchanged.","Labor, legal, privacy, equity, and data-governance reviews are included."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Program-level launch across multiple linked offices, including workflow integration, training, data pipelines, dashboards, change management, evaluation, governance controls, and contingency capacity.","confidence":"LOW","assumptions":["Launch remains within one public-service program rather than a jurisdiction-wide portfolio.","Existing case-management systems can export required aggregates.","Material software replacement and large permanent staffing expansions are excluded.","Local validation succeeds before expansion."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Annual data maintenance, model re-estimation, drift and equity monitoring, governance review, staff training, operational coordination, evaluation, and support for one program.","confidence":"LOW","assumptions":["Monitoring is maintained by a small cross-functional team.","Policy or workflow changes require periodic re-estimation but not complete system replacement.","Recurring costs exclude the underlying offices' ordinary service-delivery payroll.","Scale and update frequency are not established by the packet."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The candidate clearly specifies coupled queues, observable propagation, and consequential delays, but explicitly treats the existence of stable amplifying combinations as a hypothesis and supplies no external evidence that this problem occurs in a particular administration."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The accountable program administrator is explicitly identified as the potential authorizer, with data-governance, labor, legal, and service-equity reviewers named as required participants."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal claims that a reproducible coupled modal structure can reveal and damp backlog amplification missed by separate dashboards or isolated-bottleneck analysis, with explicit problem and intervention falsifiers."},"bounded_next_evidence_step":{"status":"YES","reason":"The packet authorizes analysis of historical de-identified weekly aggregates using earlier-week fitting and later-week validation; this can be bounded to one workflow and compared with common-shock, exogenous-driver, and isolated-bottleneck explanations before any live deployment."},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"The packet provides authority boundaries, exclusions, halt criteria, and reversibility, but actual data-governance, labor, legal, privacy, and service-equity approvals have not been obtained and could reveal a stop condition."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The packet describes the analytical and operational scope but supplies no staffing quantities, data-system condition, office count, approval burden, or empirical cost evidence from which to verify a resource range."}},"blocking_evidence":["No evidence shows that reproducible cross-queue amplification survives controls for common demand shocks, seasonality, deadlines, policy changes, and data-definition changes.","No evidence establishes that retained modes are sufficiently stable, well conditioned, and causally useful for an intervention window.","No evidence confirms access to complete, consistently defined, privacy-appropriate linked workflow aggregates.","No stakeholder evidence establishes administrator, staff, resident, labor, legal, or partner-agency demand and acceptability.","No evidence shows that feasible controls can selectively affect a risky mode without transferring backlog or worsening subgroup delay.","External distinctiveness and implemented prior art are unverified."],"next_evidence_step":"Conduct a preregistered retrospective study of one bounded linked workflow using de-identified weekly aggregates: fit the modal model on earlier weeks and test it on later weeks against common-shock or single-exogenous-driver models and an isolated-bottleneck comparator. Stop if no well-conditioned repeatable mode survives holdout, residuals remain consequentially structured, or cross-queue propagation disappears after controls; do not proceed to a live adjustment on retrospective fit alone.","research_questions":["Does cross-queue propagation persist after controlling for seasonality, policy deadlines, common demand shocks, staffing shocks, and definition changes?","Are estimated modes well conditioned and stable across temporal holdouts for a decision-relevant validity window?","Does the modal model improve consequential holdout predictions over separate queue forecasts, an isolated-bottleneck model, and a simple exogenous-driver model?","Are linked workflow data sufficiently complete, consistently defined, and aggregatable to protect privacy?","Which feasible staffing or cross-training controls map selectively to a risky modal coordinate under legal, labor, workload, and service-level constraints?","Would total and distributional delay improve, or would an adjustment merely move backlog to another queue, office, or resident group?","Do administrators, frontline staff, affected residents, governance reviewers, and partner agencies recognize the problem and accept the proposed decision process?","What existing queueing, workflow-control, system-dynamics, process-mining, or public-service operations approaches most closely match this proposal?","How often would policy or workflow changes force model expiration and re-estimation?","What program-specific resources and approvals would retrospective validation, a small pilot, and continued monitoring require?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Problem prevalence and magnitude are not established.","Stakeholder pull and adoption willingness are not evidenced.","World novelty and external distinctiveness are unmeasured.","The central stable-mode premise is a hypothesis rather than an observed result.","Administrative dynamics may be nonlinear, endogenous, strategic, and abruptly altered by policy.","Data completeness, consistency, access, privacy suitability, and sample adequacy are unknown.","Cost bands are planning-level resource equivalents, not empirical estimates.","Causal improvement cannot be inferred from descriptive modal fit.","Scalability across programs or jurisdictions is unsupported."],"closed_book_prior_art_boundary":"Prior art is unsearched and unverified. The sealed packet supports only internal differentiation from separate queue dashboards and the named process-mining or bottleneck rival; it cannot establish novelty, prevalence, implementation history, or superiority relative to external queueing, system-dynamics, workflow-control, operations-research, or public-administration approaches."}