Business Case: Geo-Targeted Feature with Limited Traffic and Retention Curves

Scenario

You are evaluating whether to launch a new geo-targeted product feature in a two-sided marketplace context (supply and demand). You have limited traffic in candidate test regions and a performance chart with retention curves for test vs. control cohorts over several weeks.

Task

Walk through how you would structure the business case and experiment plan:

1. State the objective and key hypotheses for a geo-targeted feature.
2. Specify the minimal data you need to make a decision.
3. Define primary success metrics, secondary/diagnostic metrics, and guardrail metrics.
4. Propose success criteria (thresholds, power/significance or Bayesian thresholds) appropriate for limited traffic.
5. Interpret a retention chart showing test vs. control curves: draw insights or hypotheses for typical patterns (e.g., early lift that fades, late lift, crossing curves, no effect, negative effect).
6. Recommend next steps: design choices (e.g., geo-experiment vs. user-level randomization), analysis methods suitable for limited traffic, follow-up tests, and operational checks.

Assume the feature selectively surfaces local content or benefits by neighborhood/zone and could influence user engagement, order frequency, and operational load in targeted geographies.