When presenting complex data to non-technical stakeholders, it's crucial to demystify forecasting uncertainty without overwhelming them. Here's how you can break it down:

• Use relatable analogies: Compare forecasting uncertainty to everyday situations, like weather predictions, to make the concept more tangible.

• Visual aids: Graphs and charts can visually highlight the range of possible outcomes, making the data more accessible.

• Simplify terminology: Avoid jargon and use simple language to explain the potential variability in forecasts.

What strategies have you found effective for explaining complex data? Share your thoughts.