Plan a Free-Trial Analysis and Defend Its Recommendations

# Plan a Free-Trial Analysis and Defend Its Recommendations A data science take-home assignment concerns a free trial. The assignment asks you to explore the data, identify key insights, make recommendations and deliver a polished, concise slide deck, followed by a live discussion. Explain how you would approach that assignment and defend the analysis during the review. The underlying dataset and its schema are not supplied here. Describe the checks, analytical choices and evidence you would need rather than claiming to have found a conversion rate, segment effect or causal result. Clarify the trial's purpose, eligibility, timing and paid-conversion definition before choosing a metric. Keep the proposed presentation focused on a decision and the limits of the available evidence. ### What a Strong Answer Covers - An explicit free-trial funnel and cohort definition, including trials that have not yet had time to convert. - Exploration and data-quality checks that can distinguish meaningful friction from logging or selection artifacts. - Insights supported by suitable denominators, segment sizes and uncertainty rather than isolated correlations. - Recommendations prioritized by evidence and a concise deck that connects each recommendation to a result and a validation plan. ### Follow-up Questions - How would incomplete trial cohorts distort a conversion comparison? - What would you say if a stakeholder interpreted a usage–conversion association as the effect of increasing usage?