Kōkiri Lab

Elastic Band Car Redesign Using Community Insights

Other groups noticed something you missed. Can their insight help you build a better car?

Venture In
Wero
Observe
Kite
Infer
Whakaaro
Create
Auaha
Evaluate
Tohu

Evidence you will build

  • Before/after dataset comparison
  • Energy flow diagram
  • Redesign brief with evidence justification
  • Energy efficiency calculation

Why this matters

Community insights turn individual car trials into collective design knowledge — when students apply others' evidence carefully.

What you will investigate and collect

You will read approved community insights from the Elastic Band Car theme and use them to design and test a second-version car. Whether one carefully chosen design change — informed by what other groups found — actually improves your car. Before-and-after trial data, your design rationale, and a note on which community insight you used.

  • Date and time
  • Version (v1 / v2)
  • Trial number
  • Distance travelled (m)

What you might make or share

  • Lighter or stronger car frame based on distance data

    Your best distance run tells you what mass and shape to aim for.

  • Launch guideLaser cut

    Consistent release mechanism to reduce trial variation

    If your results vary a lot between trials, a consistent launch guide could help.

  • Wheel spacer3D print

    Change wheel alignment or friction based on steering data

    If your car drifted during testing, a wheel spacer targets that variable.

What other investigators found

Try this next

Test the same number of bands with a lighter chassis to separate band count from car mass.

Try this next

Measure the same car on two surfaces with identical elastic band setup before changing anything else.

What you will investigate
You will read approved community insights from the Elastic Band Car theme and use them to design and test a second-version car.
What you will collect
Date and time, Version (v1 / v2)
What you might make or share
A revised car, a printed spacer or wheel