Do you like DATA? Because this article is about how a 516 steps LEGO model Baby Yoda The Child 75318 is followed and built by users.
In this series I would like to share how users are building the LEGO Baby Yoda that was released about a month ago. We have the Baby Yoda at both buildin3d.com and fllcasts.com
Here is the modelLEGO Baby Yoda from “Star Wars” in 3D assembly instructions by BuildIn3D
What does the data show?
Some people just move from start to finish.
Yes, I also like to do this. It is quite fun. You can move from start to finish in about 20-30 seconds.
Some people like to rotate it a few times.
The dots show the places where people rotate the model in the 3D assembly instruction.
Some people open it, wait for about 6-7 minutes and then press auto play.
After that they stay for a minute rotating it a few times and looking it from different angles. You know…playing with it.
Some people leave the instruction open for 75 hours and then go to the end
This, happens, from time to time.
Some people like to look around for about 5 minutes.
They even go forward and then back. The dots show where people rotate the model to see it from different angles.
Sometimes the data is not clear.
As it often happens in statistics there are outliers and errors. Please help us understand this.
Some people actually build the model, in this case the LEGO Baby Yoda
This here is a user that has previously build and reached step 360. Then they’ve open the model again and continued from step 360 to step 512. It took them about 1h:30m to build. This means they’ve spend at least 3 hours having a lot of fun with this set just assembling it. It is interesting to see that the instructions were not clear where the dots are – people had to rotate to see what is happening. Also around step 460 there is a little peak where the user moved forward and then returned back. So there is clearly something not clear (pun not intended) with the instruction. A lot could be said by this data. Every author has access to it on buildin3d and could see how users are using the models and instructions.
What good is this data?
To prepare easier instructions. To build better toys. To make a toy with which people could have more fun and play more. And it’s a lot of data.