Evidence Architecture & Methodology
SYNQ separates commercial hypothesis from empirical reality. Every public metric, statistical association, and routing decision sits inside a strictly defined evidence hierarchy—from raw historical observation to prospective controlled validation.
The Four Evidence Classes
All quantitative claims published by SYNQ are assigned to one of four explicitly demarcated evidence tiers to prevent confusing observational correlation with proven intervention impact.
The 7-Step Evidence Ladder
SYNQ advances analytical hypotheses through a progressive seven-stage verification ladder before any operational policy is deployed live.
Historical Observational Analysis
Ingestion of multi-year booking ledgers across two distinct tiers: (a) Phase 0 single-venue baseline audits (22,047 bookings, 2,822 members) for initial operational unit economics; and (b) the multi-site longitudinal benchmark (611,903 bookings, 24,909 members, 51,957 sessions) for 52-week co-attendance matrices and bipartite graph topology.
Matched & Adjusted Cohort Analysis
Controlling for baseline visit frequency, tenure, time-of-day preference, and modality to test whether social network structure conveys distinct explanatory power beyond raw attendance counts alone.
Temporal Holdout & Zero-Lookahead Validation
Chronological evaluation strictly enforcing historical information boundaries ($t < T$). Prevents future attendance leakage from contaminating diagnostic classifications and state transitions.
Out-of-Sample Replication
Replicating behavioral algorithms across structurally divergent environments (e.g. comparing large multi-studio fitness facilities with intimate 8-bed Reformer Pilates environments) to test algorithmic transferability and domain boundary conditions.
Offline Routing Simulation
Counterfactual policy simulation (Test 11) evaluating 10 empirical behavioural routing mechanisms under 2 strict governance controls: the Behavioural Envelope (preserving existing schedule, modality habits, and capacity boundaries) and the Do-Nothing Policy (safety containment when expected lift does not exceed uncertainty bounds).
Shadow-Mode Operational Validation
Production pipeline runs concurrently with live venue operations in silent shadow mode. Evaluates real-time candidate sessions, verifies policy concordance, and enforces zero-exposure safeguards without dispatching interventions to members or staff.
Prospective Controlled Trial (Test 12)
Formal prospective field trial evaluating whether systematically introducing members into compatible recurring social environments causes a statistically significant, incremental change in retention and commercial lifetime value.
Disengagement & Inactivity Definitions
Conventional SaaS platforms conflate administrative churn with behavioral abandonment. SYNQ evaluates disengagement across four distinct, rigorously defined criteria:
| Metric Classification | Formal Operational Definition | Analytical Utility & Limitations |
|---|---|---|
| Contractual Cancellation | Formal administrative termination of a direct debit, membership contract, or subscription in the core booking ledger. | Clean commercial ground truth, but severely lagging: members typically cease physical attendance 4 to 10 weeks before formal contract termination. |
| 30 / 60 / 90-Day Sustained Inactivity | Zero recorded physical check-ins across consecutive rolling calendar windows (e.g. exactly 90 days of complete silence). | Primary behavioral milestone. Highly correlated with financial lapse while eliminating transient week-to-week attendance volatility (illness, holiday). |
| Terminal Lapse | Irreversible departure state wherein a member never records another physical check-in within the remaining multi-year observation horizon. | Ultimate attrition endpoint used in longitudinal lifetime value survival models. Requires sufficient historical follow-up to establish. |
| 12-Month Active Landmark | Landmark survival metric evaluating whether a member records verified attendance during the 12th calendar month following their initial 30-day baseline window. | Standardized benchmark metric that eliminates survivor bias when evaluating early social tie formation and onboarding trajectories. |
Privacy Architecture & Regulatory Compliance
SYNQ is engineered specifically for privacy-sensitive enterprise environments. Our pipeline is designed to support UK GDPR and EU GDPR compliance, subject to venue Data Protection Impact Assessments (DPIA) and operator legal review.
| Architecture Layer | Technical Specification | Operational Privacy Guarantee |
|---|---|---|
| Member Pseudonymisation | Keyed HMAC-SHA256 hashing with venue-isolated cryptographic salts prior to relational compute. | Raw member identifiers (names, emails, phone numbers) never enter graph compute pipelines. Salts prevent dictionary and rainbow table inversion. |
| Ledger & Audit Integrity | SHA-256 cryptographic content digests for pre-registration locks and frozen ledgers. | Guarantees tamper-evident reproducibility of audit protocols, analysis scripts, and historical ledger checkpoints. |
| Role-Based Presentation | Multi-tenant authorization gating with segmented FOH access controls. | Front-of-house staff see only high-level operational context required for service delivery. Raw network topology graphs are never exposed at the desk. |
| Ephemeral FOH Context | Volatile memory caching with automated session-scoped invalidation. | Front-desk context expires automatically after class check-in completion. No persistent relational dossier is stored on edge devices. |
| Zero-Knowledge Member Messaging | Outbound routing suggestions reference timetable rhythm and room atmosphere. | Communications strictly preserve peer anonymity. Messages never disclose other members' identities, booking records, or attendance patterns. |
| Compliance Framework | Article 6(1)(f) Legitimate Interest documentation & DPIA readiness. | Designed to support UK GDPR adherence, subject to customer-specific DPIA sign-off and enterprise data processing agreements (DPA). |
Inspect the Reconciled Evidence Base
Review our controlled findings on recurring familiarity, visit frequency balancing, and landmark survival trajectories.
View Social Density Benchmark →