Central Visualization
KPI Correlation Diagram
Each node is a KPI. Line thickness represents correlation strength (estimated Pearson r). Color indicates the type of relationship. Click a node to inspect its connections.
Very high correlation (r ≥ 0.75)
High (0.50–0.74)
Moderate (0.25–0.49)
Significant inverse
Financial KPI
Pure UX KPI
Mixed KPI
Click a node in the diagram to view its details and correlations
Methodology
Study Design
Methodological framework for parametric KPI comorbidity analysis, analogous to the clinical model where diagnostic tests generate data that feed the statistical analysis.
Measurement Instruments
KPIs & Capture Instruments
Each KPI has a validated measurement instrument — analogous to clinical tests (Beck, Hamilton, PANSS). The instrument defines the raw data; statistical analysis transforms it into evidence.
Parametric Analysis
Complete Statistical Protocol
Sequence of tests from assumption verification to structural equation modeling (SEM). Each step is a prerequisite for the next.
Dimensionality Reduction
PCA Clusters — Principal Components
Principal Component Analysis reveals the latent factors that group KPIs by shared variance. Each cluster is an independent axis of product impact. Click a cluster to view its KPIs and factor loadings.
CP1 — Flow Efficiency
CP2 — Satisfaction & Effort
CP3 — Retention & Value
CP4 — AI Autonomy
Node size = factor loading. Position = projection in CP1×CP2 space.
Click a node to view its factor loading per component
Scree Plot — Variance Explained per Component
Kaiser criterion: eigenvalue > 1 → 4 components retained
Explained Variance Table
Structural Causality
Structural Equation Model (SEM)
SEM models causal relationships between KPI clusters as latent variables (ξ) measured by observable indicators (x). It quantifies direct, indirect, and mediated effects. Analogous to path analysis in psychiatric genomics.
Direct effect (β)
Mediated effect (γ)
Latent variable (ξ)
Observable indicator (x)
β
Estimated Structural Coefficients
fit
Model Fit Indices
R
lavaan (R) Code — Model Specification
Synthesis & Interpretation
Executive Report
Interpretation of study results, KPI impact hierarchy, benchmarks by category, and prioritized intervention recommendations for product and UX.
Field Protocol
Measurement Instruments — Application Guides
Session scripts, analysis templates, and application protocols for each instrument. Designed to be used directly by the UX Research team in the field.
Planning
Study Schedule
Interactive Gantt chart with study phases, milestones, and deliverables. Click a phase to view its tasks and required resources.