wunder beta⚖️ Comparing Two Designs
Two friends each build something to solve the very same problem — but whose idea actually works better? You can't just guess or pick your favourite. In this course you become a design tester: you'll g
What you’ll learn
- One Problem, Two IdeasRecognise that a design is something built to solve a problem, and that one problem can have many designs.When people build something on purpose to do a job, that thing is a design. The same problem — a tippy boat, a river to cross — can be solved by very different designs, which sets up the big question: which one actually works better?
- Guessing Isn't KnowingUnderstand that liking a design is not the same as knowing it works, and make a prediction before testing.Feelings and favourites can mislead us about which design is best. Making a prediction is a smart, honest first step, but only an actual test can reveal the real answer.
- A Fair Test Is a Kind TestApply the rule of a fair test: change only the design and keep every other condition the same.A test tells the truth only when both designs face the exact same challenge. By changing just the design and holding everything else constant, any difference in the result can be traced to the design itself.
- Measure What HappensCollect a clear, countable result from a test so two designs can be compared honestly.Good testing produces a result you can count, measure, or plainly see — such as how many coins each boat held. Numbers turn vague opinions into facts that everyone can compare.
- Every Design Has Strengths and WeaknessesCompare designs across several features and see that the best design depends on the job.Winning one test does not make a design best at everything; each design is strong at some things and weak at others. The best choice depends on matching a design's strengths to the particular job it must do.
- Test, Learn, ImproveSee that test results — even from a losing design — guide improvements, and recall the four steps of comparing designs.Comparing designs is a four-step habit: predict, test fairly, measure, then choose. Results from every design, including the one that lost, provide clues for building something better next time.
Questions this course answers
What do we mean when we call something a "design"?
A design is somebody's idea, built on purpose to do a job — like a boat that shouldn't tip, or a bridge that gets you across a river.
Why isn't it enough to just pick the design you like best?
Your feelings can trick you. To truly know which design works better, you have to test them, not just choose a favourite.
In a fair test comparing two boat designs, what should you change?
Change only the thing you're testing — the design — and keep everything else the same. Then whatever happens must be because of the design.
You give one boat a huge splash and the other a tiny ripple. Why is that a problem?
When the challenge is different, the test is unfair — you can no longer tell whether the design or the unequal challenge made the difference.
Why is counting how many coins each boat holds better than just saying "it seemed better"?
A clear result you can count — like 12 coins versus 5 — turns a fuzzy opinion into a fact everyone can see and compare.
The wide boat is steadier but slower; the tall boat tips more but is faster. So which design is best?
There's no single best design floating in the air — there's the best design for a particular job. Match the strength to the job.
Grounded in trusted sources
- Next Generation Science Standards — K-2-ETS1 Engineering Design (K-2-ETS1-3: compare designs)
- Museum of Science, Boston — Engineering is Elementary
- Understanding Science, UC Berkeley — Fair tests and controlled comparison
Every Wunder lesson is built from real, reputable sources — never invented.
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