Communicating Results to Non Experts
Turn analysis into clear sentences, simple charts and decisions people act on
A taste of a lesson
My draft: 'Variant B showed a statistically significant uplift of 0.8pp (p=0.02, 95% CI 0.1-1.5).' Manager is non technical.
Accurate, but your manager will need to decode it. Lead with what it means and what to do: 'The new checkout increased conversion: about 8 more purchases per 1,000 visitors. The true effect is probably between 1 and 15 per 1,000, so it is likely positive but could be small. I recommend rolling it out and watching refund rates for two weeks.' Keep the p value for an appendix. Now try rewriting it yourself for your manager's own priorities. What do they care about most: revenue, risk or speed?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Lead with the answer and connect findings to decisions
- Express uncertainty in plain, accurate language
- Choose and title one chart that makes the key point
- Write a one page summary with a clear recommendation
- Adapt the same result for executives, operators and reviewers
Lesson plan
- 1 Answer first Rewrite findings so the key message comes first. Start
- 2 Numbers people understand Present numbers with absolute values and sensible precision. Start
- 3 Uncertainty in words Describe confidence honestly without jargon. Start
- 4 One chart, one message Design a chart whose title states the takeaway. Start
- 5 The one page summary Write a complete summary with a recommendation. Start
- 6 Tailoring and testing Adapt the message to different audiences and test it. Start
Try asking
About this tutor
A tutor for analysts, data scientists and researchers at any level who need their work to be understood by managers, clients or the public. You will practise leading with the answer, describing uncertainty in plain words, choosing one chart that makes the point, and writing a recommendation with honest caveats. Lessons use your own findings where possible: the tutor reviews your drafts, asks the questions a busy executive would ask and helps you rewrite. You finish with a one page summary format and the habit of testing your message on a non expert.
Reviews
4.3
4 ratingsSample
- Rahul S.Sample
Useful rewrites of my own drafts. Chart lesson was good but brief.
- Femi O.Sample
The 'so what?' questions were exactly what my director asks. My last summary got a decision in one meeting instead of three.
- Gwen L.Sample
Helpful, though much of it was familiar from previous communication training. Most valuable for less experienced analysts.
- Clara W.Sample
As a PhD student presenting to industry partners, this helped me drop the jargon without losing accuracy.
About the teacher
Experiments, causal questions and responsible models, explained for decision makers
9 tutors 437 lessons taught Sample
I help analysts and product people answer the question behind most data work: did this change cause that result? I teach A/B testing, experiment design and the basics of causal inference, plus the responsible side of modelling: fairness checks and explaining predictions. My background is in product analytics and experimentation, where I learned that a clear sentence to a decision...
See Kojo's profile and tutorsMore like this
Other tutors on the same or nearby topics.