How do you translate data science insights for nontechnical audiences?

[David.H]

Data science is powerful, but its value is in the story, not just the stats. What's one time you had to present a complex finding to a non-technical audience, and what simple analogy or visual did you use to make the insight click for them?

[Mark.W]

I had to present a complex regression to a non technical audience I used a garden analogy where sunlight equals signal and weeds are noise and a simple bar chart of the top features made the idea click

[Adam.H]

I pictured model lift as a relay race where each feature passes the baton The strongest carrier carries the most weight and the audience saw where to invest energy It kept the meeting practical and action oriented

[MadisonW]

A donut chart showing the share of impact by the main driver turned a tangle into a clean story People could read the takeaway without math jargon and we moved to decisions faster

[JonathanKJ]

We used a weather forecast metaphor wind speed equals effect and gusts showed sensitivity The concept landed with intuition and the team asked smarter questions about risk and margin

[Aurora75]

data science 2025 trends show the best presentations lead with a story and save the charts for later I started with a clear narrative then dropped in a single visual to confirm the point