Early in my career, a Yale professor shared a valuable tip that stuck with me: transform complex decisions into just one or two visuals that clearly tell your story—and avoid "chart junk!"
As engineers and quality professionals, we often find ourselves buried in the details of our projects. You know how it goes—there’s always more data, more experiments, more details. But remember, few audiences have the patience (or need!) to sift through every step you’ve taken. Your visuals should quickly and clearly lead your audience to the decision point.
For example, consider my latest seedling experiment—one you might relate to from your own projects. The goal: determine the best inputs (soil type) to achieve optimal outputs (healthy seedlings that yield tasty vegetables). Specifically, I needed to decide between premium soil and cheaper coconut coir.
Here’s what the data showed clearly and simply:
Premium soil doubled seedling height after one month
Surprised I didn’t use one of Minitab’s impressive graphical tools for this? While Minitab has outstanding graphs, sometimes simplicity speaks louder. In this case, a straightforward table combined with a photo of the seedlings told a clearer story. Seeing the eggplants side-by-side made the results instantly obvious—no extensive explanation needed!
The title matters, too. Instead of something cumbersome like "Seedling Height Comparison After One Month by Soil Type (Measured in mm)," I went for a headline that grabbed attention: "Extra, extra! Plant height doubles with premium soil!" Then I simplified it even more.
Could I have added that all seedlings were grown under identical conditions? Sure—but my audience (including my toughest stakeholder, my wife!) already understood that. Avoid over-explaining. Trust your visuals and your audience’s intelligence.
Of course, getting to this simple summary wasn’t easy. Initially, I measured germination rates, expecting premium soil to clearly outperform coconut coir. Surprisingly, germination rates were nearly identical! This realization forced me to pivot my focus from germination rates (Y1) to seedling height (Y2). Minitab made it easy to run these experiments quickly, test theories, and answer new questions on the fly—saving time and effort along the way.
Imagine if I’d dragged all those interim analyses into a meeting before highlighting the key insight about soil type. Good visuals keep it simple. Good visuals clarify.
A quick caveat: not every test produced dramatic results. Radishes, for example, germinated quickly regardless of soil type. Data on their growth is still in progress—I’ll share those results another time!
This year, my garden is flourishing—full of cucumbers, zucchinis, tomatoes, and many other delicious veggies. We’re enjoying cooking great meals from the bounty!
I’ve also started making short videos designed to refresh your Minitab skills and highlight why and how statistical problem-solving can be beneficial—even in low-stakes environments or hobbies like gardening! Here is one for your viewing pleasure: Machine Learning Meets Agriculture: How Predictive Analytics Helped Prevent Water Contamination
Remember the KISS principle: "Keep it simple & sequential." Test theories, make predictions, answer questions clearly. Minitab empowers you to do exactly that.
Stay tuned for my next blog where we’ll explore inductive and deductive reasoning and delve into exciting machine learning techniques available in Minitab, such as CART and Predictive Analytics.
Happy analyzing—and watch out for those garden pests!
Jim