{"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__innovation_entrepreneurship","archetype_slug":"invariant_mode_decomposition_design","domain_slug":"innovation_entrepreneurship","title":"Gated coupled-mode analysis for venture metric decisions","opportunity_summary":"Evaluate whether locally stable decompositions of coupled venture metrics can identify useful, reversible experiment-budget reallocations that outperform isolated KPI review and a regularized nonmodal transition model. The candidate is testable and carefully bounded, but the existence of stable venture regimes, practical predictive advantage, stakeholder demand, and distinctiveness remain unverified.","adopter_authorizer":"A consenting early-stage venture, authorized by its founders and accountable product, growth, finance, and data leads; any customer-impacting test also requires the existing ethics or experiment owner.","scores":{"meaningful_impact":{"score":4,"rationale":"If the hypothesized cross-metric thrashing occurs, reducing unproductive priority reversals and improving cohort contribution or learning per unit of runway would materially affect a runway-constrained venture. The frequency and magnitude of this problem are unsupported."},"stakeholder_pull":{"score":2,"rationale":"The packet identifies founders and functional leads who could benefit, but supplies no evidence that ventures recognize the problem, seek this method, will share data, or prefer it over simpler analytics."},"incremental_advantage":{"score":3,"rationale":"Coupled modes could reveal persistent combinations missed by individual KPI thresholds, but advantage over the preregistered regularized multivariate rival is explicitly unresolved and falsifiable."},"distinctiveness_plausibility":{"score":3,"rationale":"The combination of local-regime decomposition, conditioning and drift gates, sensitivity-guided controls, and reversible testing is proposal-specific and plausibly differentiating, but prior art is unsearched and overlap with existing analytics and control methods is unknown."},"technical_implementability":{"score":3,"rationale":"The state vector, sample window, comparisons, diagnostics, and rollback rules are concrete enough to implement, while short endogenous histories, definition drift, ill-conditioning, nonstationarity, and weak spectral gaps may make usable estimation impossible."},"adoption_authority_feasibility":{"score":4,"rationale":"The candidate names the required venture authorities, retains existing oversight for customer effects, excludes high-risk decisions, and caps the contemplated reallocation. Cross-functional consent and access still require validation."},"evidence_readiness":{"score":4,"rationale":"A retrospective fit plus four-week shadow evaluation is bounded and includes out-of-sample comparisons, resampling stability, residual and drift checks, a nonmodal rival, and explicit falsifiers. Availability of 26–52 genuinely comparable weeks is uncertain."},"safety_net_benefit":{"score":4,"rationale":"Residual, conditioning, gap, direction-stability, regime, customer, employee, cash, and compliance gates provide multiple opportunities to halt before or during any later reversible test. These controls cannot eliminate metric gaming, leakage, or false causal interpretation."},"scalability":{"score":2,"rationale":"Each deployment is restricted to a declared product, segment, pricing, and channel regime and may require custom data definitions, stability validation, governance, and refitting after strategic changes."}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One venture: define comparable metrics, prepare and govern 26–52 historical weekly vectors, implement the modal and comparator analyses, preregister tests, and conduct four weeks of shadow evaluation without changing live decisions.","confidence":"LOW","assumptions":["Usable source data already exist and can be accessed with ordinary organizational approval.","Work requires specialized data-science labor plus recurring participation from product, growth, finance, and data leads.","No new customer experiment or major data-platform rebuild is included."]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Prepare a single venture for a later limited deployment by establishing repeatable data pipelines, monitoring, permissions, decision documentation, guardrails, and rollback procedures.","confidence":"LOW","assumptions":["Existing analytics and experiment infrastructure can be adapted.","The declared regime and metric definitions remain stable during setup.","Scope excludes automated decisions and enterprise-wide rollout."]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Run and evaluate one authorized, reversible two-week reallocation capped at 5% of an existing experiment budget, including a preregistered holdout, rival recommendation, stakeholder oversight, and safety monitoring.","confidence":"LOW","assumptions":["Historical and shadow gates have already passed.","The reallocation uses an existing experiment and budget rather than creating a new product program.","No protected-group pricing, eligibility, employment, compensation, fundraising, or automated decision is introduced."]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Maintain one venture's regime-specific pipelines, access controls, periodic refitting, drift and residual monitoring, analyst review, decision governance, and evaluation records.","confidence":"LOW","assumptions":["Coverage remains limited to a small number of declared regimes.","Human review is retained for every recommendation.","Major strategy or data-system changes would require separate revalidation and could raise costs."]}},"research_burden":"HIGH","earliest_credible_horizon":"3_TO_12_MONTHS","pipeline_gates":{"recognizable_externally_supportable_problem":{"status":"YES","reason":"The candidate defines an independently recognizable problem—recurring cross-metric budget and priority reversals—and specifies observable decision records and predictive comparisons that could support or falsify it, although prevalence is unknown."},"identifiable_adopter_or_authorizer":{"status":"YES","reason":"Founders and accountable product, growth, finance, and data leads are identified as decision authorities, with existing ethics or experiment oversight retained for customer-impacting actions."},"distinct_testable_incremental_claim":{"status":"YES","reason":"The method claims that gated modal decomposition improves prediction and recommendation quality beyond isolated KPI review and a regularized nonmodal multivariate transition model; both comparisons have stated falsifiers."},"bounded_next_evidence_step":{"status":"YES","reason":"One venture, 26–52 comparable historical weeks, and four shadow weeks define a bounded non-deployment study with preregistered comparisons, stability checks, and stop criteria."},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"The first evidence step can remain retrospective and shadow-only; sensitive actions are excluded, authorities are named, and model, regime, stakeholder, cash, and compliance failures trigger a halt."},"implementation_cost_scope_and_range":{"status":"YES","reason":"The candidate bounds the initial evidence and possible later test by venture, time, regime, budget cap, oversight roles, comparisons, and rollback duties, permitting broad resource bands despite low cost confidence."}},"blocking_evidence":["Whether recurring cross-metric reversals and associated runway waste are present in a consenting venture rather than merely asserted.","Whether 26–52 weeks contain a sufficiently stable, consistently defined regime for estimable and resample-stable modes.","Whether modal decomposition improves out-of-sample transition or objective prediction over isolated KPI review and the regularized nonmodal rival.","Whether feasible controls can move a selected mode in the predicted direction without breaching customer, employee, cash, or compliance guardrails.","Whether decision-makers will use the analysis and can avoid interpreting descriptive modes as causal entities.","Whether the approach is materially distinct from existing startup analytics, system-identification, and control-oriented methods."],"next_evidence_step":"With one consenting venture, preregister a retrospective and shadow-only study using 26–52 comparable historical weeks and four subsequent shadow weeks. Compare gated modal decomposition with isolated-KPI forecasts and the regularized nonmodal cohort-transition rival on out-of-sample transition and objective prediction. Stop and reject progression if recurring reversals are absent, no locally stable mode survives resampling and conditioning gates, residuals remain structured, definitions drift, or the method fails to improve decision-relevant prediction within uncertainty. Do not alter budgets or product decisions in this step.","research_questions":["Do decision logs show repeated cross-metric budget or priority reversals with meaningful runway consequences?","How sensitive are estimated modes to week selection, metric definitions, regularization, management interventions, and regime boundaries?","Does modal decomposition add calibrated out-of-sample predictive value beyond the isolated-KPI baseline and nonmodal rival?","Are selected modes controllable through small existing experiment reallocations, or merely descriptive correlations?","Can learning yield and sustainable cohort contribution per runway be measured without suppressing customer harms or encouraging metric gaming?","What data permissions, privacy controls, and cross-functional effort are required for routine use?","What prior methods make substantially overlapping diagnostic, predictive, or control claims?","Would founders and functional leads act on shadow recommendations, and what evidence threshold would authorize a capped test?"] ,"recommendation":"PARTNERED_RESEARCH","uncertainty_constraints":["Problem prevalence, stakeholder demand, market size, realized impact, and willingness to adopt are unmeasured.","Prior art is unsearched, so novelty and defensible distinctiveness cannot be scored affirmatively.","The candidate is a hypothesis based on a locally stationary regime, while ventures may change their own transition rules in response to strategy and analysis.","Short, endogenous, confounded histories may generate spurious, gapless, or ill-conditioned modes.","All cost bands are resource-equivalent planning ranges with low confidence, not observed prices or estimates.","Evidence from one venture and regime would not establish portability to other products, segments, channels, pricing structures, or venture stages.","A successful shadow study would support further testing but would not establish that estimated modes are causal entities."],"closed_book_prior_art_boundary":"No conclusion is made about novelty, prevalence, existing commercial offerings, market size, realized impact, or overlap with startup analytics, system-identification, econometric, optimization, or control-oriented decision methods. Prior-art status remains UNSEARCHED and requires external research before any distinctiveness claim."}