Prediction of Team Results

This is generally a very short section of the report and should also serve as your conclusion. The purpose here is to predict how you think your device will perform in the final competition and what you think the team will score, based on your analysis of the progress of the project.

Look at how the following examples to see how students have written this section.

Example 1 Comment

The whole team has put much effort into thinking about ideas and designs which are related to the theme of sustainability. Materials in all setups are recyclable and gathered by members. Sadly, many ideas were ideal cases and near impossible to achieve in the real world. Even after many trials and the limited nature of the materials, we were only able to use our second best ideas. There is always much to learn from a project, but the most obvious thing we have learnt is how to manage with limited resources and limited time.

Summarizing reflection on the process of design

After the improvements we carried out on each part to raise their reliability, we predict that the whole process of 57 seconds is guaranteed to work every time we run the device. However, one of the problems we missed may be the appearance of the whole model since ours uses waste materials and lacks an 'eye-catching' look.

Prediction of results of running the device.

We are proud to say that this is the best we have come up with so far but we believe there may be more improvements to be done before the final competition.

Anticipation of further improvements before competition day.

Although our initial prediction of 7.5/10 for the prototype testing was not successful, a prediction of 7.5/10 (75%) on competition day would be reasonable, as we have tested more thoroughly. At the current stage we expect our ranking will be in the middle amongst other teams.

Actual result: 92.5%!

Prediction of final result on competition day.

Example 2 Comment

Based on the results of our testing of the final design, we have concluded that we fulfilled the project criteria of the Rube Goldberg machine. The average time for our machine to run is 54 seconds, and with 10 energy transfers in our machine, we now predict our results as follows:

Reflection on whole project

  1. Team sets up within the allowable period. (5 marks)
  2. Team engages device during the 5 second window. (5 marks)
  3. Popper goes off before the 60 second mark. (10 marks)
  4. Popper goes off at the 54th second.
  5. Having 10 energy transfers. (20 marks)

Breakdown of expected results.

5+5+10+(4x(54-45)) + 2x1- = 76%


Estimation of competition result: 76

Actual result: 82.5%

Prediction of final result.


[References and Appendix]