Data Analytics: Foundations to Practice · Data Storytelling and Communication
Communicating Uncertainty Honestly
Uncertainty is a genuine, unavoidable part of nearly every analytical finding, and how an analyst chooses to communicate it, or fails to, shapes whether stakeholders can actually make sound decisions based on the result.
Nearly every analytical finding carries some genuine degree of uncertainty, whether from sample-based estimation covered in Module 7, incomplete data, or a genuinely reasonable but ultimately debatable methodological assumption made somewhere along the way; presenting a finding with unwarranted, false certainty, omitting this genuine uncertainty entirely from the communication, can lead a stakeholder to place more confidence in a specific conclusion than the underlying analysis can actually, honestly support.
- Nearly every finding carries genuine uncertainty; presenting it with unwarranted false certainty can lead stakeholders to over-trust a conclusion.
- Different findings within the same analysis can warrant different confidence levels; a well-communicated analysis distinguishes strong conclusions from tentative observations.
- Plain language phrases can convey confidence level without dense statistical detail, as long as they're used carefully and consistently, not as an empty verbal habit.
- Analysts who communicate uncertainty honestly build durable credibility, since stakeholders learn to trust a track record of genuinely reliable stated confidence.