Causal Impact Analysis for Strategic Initiatives

This task provides a robust framework for evaluating whether a strategic initiative (pricing change, marketing campaign, policy update) caused a measurable impact on key business metrics. Using Bayesian Structural Time Series, it constructs a counterfactual baseline from control data and compares it to post-intervention performance. The output includes point estimates, confidence intervals, cumulative impact, and a clear executive-ready interpretation. This is especially useful for strategy teams that need defensible evidence of ROI beyond simple before-and-after comparisons. The approach reduces bias from seasonality and external shocks, making it suitable for board-level decision support.