To handle conflicting data interpretations, I first validate data quality and methodology to identify the root cause of discrepancies. Then, I present all findings transparently and facilitate discussions to align stakeholders on key objectives. Using scenarios or sensitivity analysis, I propose phased decisions and document agreements ensure clarity and consensus throughout the process.

When faced with conflicting analytical findings, I prioritize transparency and collaboration to align stakeholders. First, I present all data clearly, emphasizing areas of agreement and discrepancies. Then, I facilitate discussions to understand diverse interpretations, ensuring all perspectives are heard. By analyzing methodologies and assumptions behind the findings, I help identify root causes of conflict. Proposing a phased approach to decision-making, with pilot implementations or further validation, allows incremental progress. This structured approach fosters trust, consensus, and actionable outcomes.

I start by validating the data sources and methodologies to ensure accuracy. Next, I facilitate a discussion to present findings transparently, highlighting key differences and implications. By focusing on shared objectives, I encourage collaboration to resolve discrepancies and align on actionable insights, fostering trust and informed decision-making.