Problem Framing and Data Driven Recommendations Questions

Covers the end to end process of turning ambiguous business questions into clear, actionable solutions using structured thinking and empirical evidence. Includes decomposing complex problems into root causes and manageable components, defining success criteria and key metrics, and selecting appropriate analytical approaches and frameworks. Encompasses extracting, cleaning, and synthesizing raw data into insights, using quantitative and qualitative evidence to generate and evaluate multiple solution options, and applying trade off and prioritization frameworks such as impact and effort. Requires producing evidence backed, prioritized recommendations with implementation considerations, sequencing and monitoring plans, and communicating findings clearly to stakeholders with varying levels of technical knowledge.