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Showing posts from November, 2018

Visit to Baycrest

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As a class, we went to visit our partners, Baycrest Health Science . It gave us a bigger picture for the problem we are trying to solve. When we entered the conference room, we met Dr. Gilboa and Dr. Aleong who are two research staffs. For the first bit of the visit, they would give us more insight about the challenge. We were not aware of what we were trying to solve until they told us. They want a solution to optimize the process of recruiting members at the open house.  A lot of information was thrown at us and we were caught off guard by how fast-paced they were. It was very overwhelming by the number of notes we had to take. At the end of their presentation, we were given time to think about questions that would help our project. After the questions, as a class, we split up into two groups. One would go on a tour and the other group would stay back to show their causal model. Our group stayed back. We knew our causal model needed work, we just didn't know wher

Causal Model and System Map: Draft Number One

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The Question After a quick team discussion, we decided to answer the question: What causes an employee to be a good fit for the organization? Causal Model For our casual model, we had to answer, "What causes an employee to be a good fit for the organization" We started off making a system map for our causal map just to get our ideas out there. It was easy to put everything on a system map but then we had to transfer that information onto a causal model. We came across a few problems with the causal model. The first was transferring the information from the system map. If you look at our first causal model, we forgot that a causal model is about cause and effect, not what is related to the question. So we had to restart our causal model. Lastly, the second problem was answering the wrong question. We felt like we answered, "How to get hired" instead of "What makes an employee perfect for the organization". We had to change it up a bit so it

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