Prevents Misinformed Actions By Explaining What Metrics And Model Outputs Actually Represent And Assume.
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Skills
Interpretation
Interpretation is the ability to translate data, technical outputs, and findings into accurate meaning for decisions, including context, limitations, and implications. It matters because stakeholders need reliable narratives—not just numbers—to choose actions, manage risk, and avoid false confidence from misread results.
A professional with strong interpretation can:
Explain What A Metric Or Model Output Represents, Including Units, Baselines, And Underlying Assumptions.
Distinguish Correlation From Causation And Clarify Uncertainty Using Confidence Intervals, Error Rates, Or Sensitivity Checks.
Connect Findings To Business Or Operational Context By Describing Impacts, Trade-offs, And Decision Options.
Communicate Limitations And Data Quality Issues, Such As Missingness, Bias, Or Measurement Error, Before Recommendations Are Made.
