I was a single ux/ui designer at build co. urban str. company, as a part of of conceptual project for ezra ibizron & Tel Aviv Jaffa municipality office
Each of us produces data, but most of us also consume data. The accessibility of data analysis is not accessible to most of us. Social networks, Google Analytics are for example databases that are not at all easy to analyze. A cafe owner in the neighborhood is interested in consuming data about the community that lives there on the other hand, community members in the city are interested in getting financial data for the viability of living there. Everyone needs the data in their own unique way. This is urban data.
The user does not have to select the categories of data types but the user gets all the data according to the user type. That is, he may be exposed to data that he does not know is relevant to him. While this may sound more targeted to the user who needs uniform useful information but the purpose of the product is to make data accessible to a wide audience and not to segment them. Accessibility is reflected in the fact that it gets a complete set of data that can complement each other and create a more complex picture of decisions
an online platform web urban community group
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By analyzing users and analyzing data by category I have come to the conclusion that there is a conflict in the hierarchy of data. Should we route the data relative to their time? or in relation to their location in space or only by categories?
When I started thinking about research methods. I have come to the conclusion that the best way to conduct research is to use keyword automation on social networks. So I mapped out the different types of community group posts across the city. I chose the Nachlaot group in Jerusalem, the Florentin group in Tel Aviv, and the Rehavia group in Jerusalem. This research by design study shows the connection between the digital world and the physical world and the combination between them. In this data research, I segmented topics that appear from groups on the social networks of urban communities. I examined 3 groups and mapped about 14 different categories. I tried to check the percentage of posts that come up from these groups.
At this point I tried to check through the users when they are using the data in the city and what feelings and emotions arise when they are forced to find new information when they are in the city.
product with 3 different marketsThe first type needs data that is not related to the community life of the city but it does need recommendations from locals about urban functions like parking, restaurants, etc. The second persona who is a business owner in the neighborhood and also lives there, but does not feel connected to the neighborhood socially. The third wants to analyze information about the neighborhood and community life in each neighborhood
By analyzing users and analyzing data by category I have come to the conclusion that there is a conflict in the hierarchy of data. Should we route the data relative to their time? or in relation to their location in space or only by categories?
division of the different categories according to interests we can see the division of the different categories according to interests. When we were able to locate about 14 different categories that come up daily as Facebook posts. From complaints to the municipality to help an elderly woman or a needy family. We conducted the test for a week and the number of posts is about 10 per group. Some of the testings are done manually.
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.