{"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__behavioral_economics","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"behavioral_economics","title":"Mode-targeted damping of hidden marketplace popularity cascades","opportunity_summary":"Estimate coupled product-group choice modes within a fixed marketplace window and test whether selectively weakening popularity signals on high-loading exposures reduces cascade amplitude and preserves responsiveness to private-quality proxies better than status quo or uniform signal reduction. The problem, mode stability, causal effect, welfare benefit, and distinctiveness are all unproven hypotheses.","adopter_authorizer":"The marketplace experimentation owner, conditional on independent ethics or consumer-protection review, seller-impact constraints, and applicable data-governance approval.","scores":{"meaningful_impact":{"score":3,"rationale":"If the hypothesized cascades exist, reducing arbitrary demand concentration could improve buyer choice quality and seller opportunity even when aggregate conversion appears stable. The packet provides no evidence of occurrence, prevalence, magnitude, or realized welfare loss, so impact remains conditional."},"stakeholder_pull":{"score":2,"rationale":"Buyers, sellers, marketplace teams, and reviewers are identified, but the sealed candidate contains no expressed demand, adoption inquiry, complaint evidence, budget commitment, or demonstrated operational priority from any stakeholder."},"incremental_advantage":{"score":3,"rationale":"Targeting high-loading exposures could preserve useful social information more selectively than uniform removal and could reveal coupled effects missed by product-by-product monitoring. Whether this improves causal detection, choice quality, or intervention efficiency is untested and depends on stable mode recovery."},"distinctiveness_plausibility":{"score":2,"rationale":"The combination of modal estimation, targeted damping, randomized comparison, and drift governance is coherently differentiated from the named baselines, but prior-art status is explicitly UNSEARCHED. Closed-book assessment cannot establish that this combination is uncommon or defensible."},"technical_implementability":{"score":3,"rationale":"The proposal names observable vectors, a fixed window, retrospective estimation, shadow testing, comparisons, and rollback metrics. Implementation is materially challenged by endogeneity, nonlinearity, omitted variables, ill-conditioning, small spectral gaps, mode rotation, and power requirements."},"adoption_authority_feasibility":{"score":3,"rationale":"A marketplace experimentation owner is identifiable and the intervention is reversible and narrowly bounded. Feasibility remains conditional on independent review, seller-impact constraints, data access, experiment authority, and approval to alter displayed popularity strength."},"evidence_readiness":{"score":3,"rationale":"The candidate supplies explicit observables, negative tests, structural failure criteria, causal falsifiers, comparators, and a staged retrospective-to-shadow design. It contains no fitted estimates, validation results, power analysis, preregistered thresholds, or randomized evidence."},"safety_net_benefit":{"score":4,"rationale":"The method is designed to detect coupled cascades that aggregate conversion and item-level monitoring may miss, while retaining status-quo monitoring, reversible changes, subgroup and seller checks, halt thresholds, and rollback. Its added detection value is still hypothetical."},"scalability":{"score":2,"rationale":"The claimed operator is explicitly local to a prespecified assortment and time window, and policy changes may rotate the modes. Scaling across markets, assortments, seasons, or buyer groups would require repeated estimation, validation, monitoring, review, and potentially separate experiments."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"Preregister and execute retrospective estimation plus a non-live shadow replay for one fixed assortment and time window, including data preparation, confounder-adjusted comparisons, held-out reconstruction, conditioning and gap diagnostics, mode-drift checks, and subgroup and seller-impact analysis.","confidence":"LOW","assumptions":["Relevant historical exposure, choice-share, popularity-display, inventory, marketing, and quality-proxy data already exist and are legally accessible.","The work uses an existing marketplace analytics environment rather than building new event instrumentation.","No buyer-facing display change occurs in this phase.","The estimate includes cross-functional analytics, behavioral research, data engineering, review, and evaluation labor."]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Prepare a small, reversible randomized experiment within the validated window, including experiment engineering, eligibility rules, three-arm assignment against status quo and uniform reduction, power analysis, monitoring, review, seller safeguards, and automated rollback.","confidence":"LOW","assumptions":["Retrospective and shadow gates pass before experiment preparation.","The marketplace already supports controlled display experiments and rapid rollback.","No fabricated counts, price changes, inventory changes, punitive ranking, or protected-trait targeting are introduced.","Independent review and seller-impact governance can use existing organizational processes."]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Launch a governed capability across multiple eligible assortments or marketplace windows, with production estimation pipelines, intervention controls, auditability, causal evaluation, mode-drift detection, seller and buyer harm monitoring, and operating procedures.","confidence":"LOW","assumptions":["A bounded randomized study demonstrates benefit over both status quo and uniform reduction.","Expansion remains limited to markets with adequate data, identifiable modes, and review approval.","Production integration must support ranking or badge-strength controls, monitoring, and rollback at marketplace reliability standards.","The band does not assume universal deployment across all products, regions, or buyer groups."]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Maintain data pipelines, periodically re-estimate and revalidate modes, monitor drift and subgroup or seller outcomes, conduct audits and reviews, operate rollback controls, and evaluate continued incremental benefit.","confidence":"LOW","assumptions":["Deployment remains limited to a modest number of validated marketplace windows.","Mode rotation requires recurring analysis rather than a one-time model fit.","Existing experimentation, observability, and compliance platforms absorb part of the workload.","Material market expansion or custom instrumentation would move recurring cost into a higher band."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"UNCERTAIN","reason":"The packet specifies observable actors, mechanisms, harms, and falsifiers, but supplies no empirical evidence that a stable coupled cascade exists, occurs beyond ordinary product-level effects, or causes material harm in the proposed marketplace window."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"The marketplace experimentation owner is explicitly identified as the decision authority, subject to independent review and seller-impact constraints."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The proposal makes a falsifiable incremental claim that mode-targeted popularity-signal reduction will lower preregistered cascade-mode amplitude and improve quality responsiveness relative to both status quo and uniform reduction."},"bounded_next_evidence_step":{"status":"YES","reason":"Retrospective estimation and a shadow prospective replay can be restricted to one fixed assortment and time window, with held-out baseline comparisons and preregistered reconstruction, separation, conditioning, stability, and interpretability falsifiers."},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"Exclusions, halt thresholds, rollback, affected parties, and a responsible owner are specified, but independent review approval, seller-impact limits, data-governance authorization, and acceptable harm thresholds are not yet established."},"implementation_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The first analytical window is bounded sufficiently for a broad estimate, but the packet does not state data condition, sample volume, instrumentation readiness, staffing, review burden, experiment-platform capability, or eventual rollout breadth."}},"blocking_evidence":["Evidence that a reproducible coupled product-group mode remains after accounting for exposure, quality proxies, inventory, marketing, seasonality, and uncertainty.","Held-out evidence of adequate reconstruction, spectral separation, temporal stability, conditioning, and traceable product-group interpretation.","A preregistered power analysis showing that the proposed comparison can distinguish mode-targeted reduction from status quo and uniform reduction.","Randomized evidence that targeted signal reduction changes modal amplitude and private-quality responsiveness rather than merely redistributing exposure.","Buyer, subgroup, and seller-impact evidence showing that aggregate gains do not conceal material harm or unfair redistribution.","Independent review, data-governance approval, explicit seller-impact constraints, and operational rollback authority.","External prior-art research establishing whether the proposed combination is meaningfully differentiated."],"next_evidence_step":"For one fixed assortment and historical time window, preregister a retrospective and shadow-replay study comparing the coupled modal model with the existing product-by-product baseline and a confounder-adjusted independent-product model on held-out transitions. Stop before live display changes. Reject progression if no mode meets prespecified reconstruction, conditioning, separation, temporal-stability, and interpretable-loading thresholds, or if popularity information adds no prediction of cross-product propagation or suppressed quality responsiveness.","research_questions":["Does a reproducible coupled mode remain after controlling for exposure, quality proxies, inventory, marketing, seasonality, and uncertainty?","Are the estimated mode and high-loading exposures sufficiently separated, conditioned, stable, and interpretable to support an intervention rule?","Does mode-targeted signal reduction outperform both status quo and uniform reduction on modal amplitude and private-quality responsiveness?","Do changes in modal amplitude correspond to improved buyer choice quality rather than merely altered demand concentration?","How are exposure, conversion, and opportunity redistributed across sellers and buyer groups, including under rollback thresholds?","How quickly do modes rotate after display-policy changes, and what re-estimation cadence would be required?","What existing cascade-detection, social-information, ranking-intervention, or marketplace-governance methods constitute the relevant prior-art boundary?","What minimum detectable effect and eligible exposure fraction make a three-arm test decision-relevant without imposing disproportionate buyer or seller risk?"],"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Closed-book assessment cannot establish prevalence, market size, stakeholder demand, prior art, or world novelty.","All impact claims depend on the unverified existence and materiality of the proposed hidden cascade.","Human choice transitions may be endogenous, nonlinear, strategic, and policy-reactive, limiting invariant-mode interpretation.","Omitted marketing, inventory, demographic, or quality structure could produce misleading modes.","Cost bands are resource-equivalent planning ranges, not quotations, and depend strongly on data and experimentation-platform readiness.","The earliest horizon assumes timely data access, preregistration, review, and sufficient historical sample size.","A descriptive mode cannot justify causal targeting without a separately powered randomized comparison."],"closed_book_prior_art_boundary":"Prior-art status is UNSEARCHED. This assessment recognizes only the candidate's stated contrast with product-by-product monitoring and uniform popularity-information removal; it makes no claim about external novelty, prevalence, existing implementations, intellectual-property position, market size, or realized impact."}