When using data to persuade others, what approach is best?

• A. Present data without context
• B. Data heavy presentation with no narrative
• C. Ignore data and rely on opinion
• D. Use relevant metrics, show baseline, explain impact, and note limitations

Answer: (D)

When you want to persuade with data, the strength lies in presenting information that is meaningful, transparent, and tied to real outcomes. Using relevant metrics ensures you’re measuring what matters to the audience and the situation. Showing a baseline explains where you started, so the audience can see how things have changed. Explaining the impact translates the numbers into concrete effects—how results affect goals, costs, time, safety, or efficiency. Noting limitations adds credibility by acknowledging uncertainties, data quality, and scope, which helps the audience trust the conclusion rather than feeling the numbers are cherry-picked.

This approach is far more persuasive than presenting data without context, which leaves numbers open to misinterpretation; a data-heavy presentation with no narrative can overwhelm and fail to connect the dots; or ignoring data and relying on opinion, which lacks evidence and undermines credibility. In short, pairing relevant metrics with a clear baseline, a concrete impact, and transparent limitations makes the case compelling and trustworthy.