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Questionnaire to help a student designing a more easily repairable scooter - please help :)

Posted: Fri Jul 23, 2021 10:54 am
by Erstimm
Hi everyone, I am a final year product design student designing a repairable and hopefully upgradable scooter and was wondering if anyone could help me by answering just a few questions. Also if you wanted to add any info on simplifying repairs I appreciate anything!

1) Do you own an electric scooter? if no would you like to own one? and if yes how long have you owned one for and what model?

2) Are you comfortable fixing parts on an electric scooter yourself, if yes, what parts and why?

3) If you are not confident at fixing parts, why? and is there anything that would make you more confident?

4) Is upgradability important to you for e scooters? if yes what sort of upgradability? eg. aesthetics, function, tech..

5) What part on the electric scooter do you find needs fixing or changing the most?

6) If you are comfortable leaving if you are F/M and your age range of under 18, 18-24, 25-34, 35-44, 45-54, 55-64 and 65+ would be useful but not necessary.

Thank you in advance!!

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Posted: Tue Jul 27, 2021 1:31 pm
by RonaldVog
hello
i have a 15" combo in nelson that i would like here in wellington
i would be willing to provide some to anyone who could help me out
its about 100cm x 60cm probably about 20kgs

cheers

Re: Questionnaire to help a student designing a more easily repairable scooter - please help :)

Posted: Thu Jun 15, 2023 5:05 am
by MorganC
Choose a Machine Learning Approach: Select a suitable machine learning technique based on the nature of the problem. Common approaches include supervised learning, unsupervised learning, or reinforcement learning https://mlsdev.com/blog/how-to-make-an-ai