TECHNICAL ARCHIVE

Case Studies

Method-led studies structured around a question, assumptions, statistical approach, measured result, limitations and supported decision.

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Design and analysis of controlled experiments to estimate incremental impact and support decisions grounded in evidence.

Evaluation of whether an observed change in a metric was caused by an intervention or by trend, seasonality, or noise.

Analysis of time-to-event data to estimate risk, compare groups and support prioritization decisions.

Simulation-based approach to optimize offer mix, pricing scenarios, attribute value and expected market share.

Quantitative segmentation and value modeling to prioritize actions based on risk, return and expected impact.

Pipeline to transform unstructured text into quantitative indicators, recurring themes and executive summaries.

Prototype of a retrieval-augmented assistant for querying manuals, policies or internal technical documentation.

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