How do I present data to a non-technical audience?
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Short answer
Lead with what the findings mean for your audience, use one clear chart per point, translate statistics into plain language, and keep methods in backup slides.
Sooner or later your practicum will ask you to share results with people who don't read regression tables, such as a community advisory board, program staff, or agency leadership. Coursework prepares you to defend methods. This audience mostly wants to know what the numbers mean for them.
Start with the "so what"
Open with the main finding and why it matters: "Emergency visits for asthma are highest in two zip codes, and both lack a clinic within walking distance." Then show the evidence. Ask yourself what decision or action this group could take, and build the talk around that.
Translate, don't just simplify
- Replace jargon with plain comparisons: "about 1 in 5 adults" rather than "a prevalence of 19.7 percent."
- Explain uncertainty in everyday terms: "we're fairly confident the true number is between X and Y."
- Say what the data can't tell you, so no one overreads it.
Simplifying shouldn't remove the caveats that matter. It should put them in words people understand.
Design charts for a glance
Use one message per slide and state that message in the slide title. Pick simple bar or line charts, label directly on the chart instead of using legends where you can, and highlight the one comparison you want people to notice. Keep detailed methods in backup slides or a handout for anyone who asks.
Rehearse with the right listener
Do a run-through with your preceptor or a colleague who knows the audience. They can tell you which terms will confuse people, which topics are politically sensitive, and how much time you'll really have. Prepare short answers to the questions you expect, and it's fine to say "I'll check and follow up."
For more on audience analysis and handling challenges, read communicating data to non-technical audiences.

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