Can you please share how you got the survey to calculate your results and then how did it pass the data to Identify the specific breed based on your results?? I am trying to do something similar. I have a survey that has 31 questions that map onto 5 learning styles but they are not evenly distributed. For example 1 style might have 5 questions and another might have 10 therefore if I do a count, the one with the most questions mapped always comes out as the strength but it is not necessarily calculating appropriately. I think I may need to convert to % and then compare the 5 percents to identify the largest as the area of strength??? Any suggestions?
I used the American Kennel Club's website to gather data on which dogs are a good fit for people, based on their living situation. There were so many options so I just chose around 40 for fun. After that the mapped it out on Miro, and then started to build it on Storyline. I used plenty of triggers for this. Triggers are the way to go. It actually took more time than I expected, but the triggers in Storyline do everything. With so many options, I just suggest you label every trigger/layer. It can become confusing without individual labels.
I hope this helps!
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