orientABD

orientABD is a term used to describe a class of analytic methods and accompanying software aimed at analyzing A/B testing data with a focus on the orientation of effects across multiple metrics. The central idea is to model the treatment effect as a vector in a multivariate space, allowing researchers to evaluate not only the size of effects but also their direction relative to a predefined hypothesis or domain knowledge.

In this approach, data from multiple outcome measures are analyzed jointly rather than in isolation. Researchers estimate a treatment effect vector and examine its angular relationship to a target direction. Inference often relies on resampling techniques such as permutation tests or bootstrap procedures to generate null distributions, enabling confidence statements about both magnitude and direction. Correlations among metrics are explicitly handled to avoid misleading conclusions.

Common components of orientABD workflows include data ingestion and preprocessing, estimation of multivariate treatment effects, orientation testing, and visualization of directional results. Software implementations typically provide utilities for computing orientation angles, constructing confidence regions in high-dimensional spaces, and producing interpretable summaries for decision-makers. Since the concept spans potentially different domains, implementations may vary in statistical assumptions, metric definitions, and programming environments.

Applications of orientABD appear in contexts where multiple outcomes matter and their joint directionality is informative, such as marketing experiments with several engagement metrics, product experiments tracking user satisfaction and retention, and UX studies requiring coherent directional interpretations across measures.

Notes: orientABD is a descriptive term used for orientation-aware, multivariate analysis of A/B data. Specific tools, documentation, and licensing depend on individual projects adopting the approach. See also directional statistics and multivariate A/B analysis.