Prototype with data

Prompt

Specifically, you must address the following rubric criteria:

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  • Design a UI/UX paper prototype for the main screen of the embedded application. This can be a simple sketch completed by hand on paper, but how you will convey the data priorities you previously identified should still be clear. Include labels for every component, user interaction, and clickable button. You should also take the time to review the design guidelines from previous modules, as these standards continue to be important aspects of quality design. Revisiting these again and again will be common in professional work.
  • Explain how users will access the data. Discuss the data decisions you made in the previous milestone and how they are reflected in your design. Be specific about what data users will access in the application and the steps they will follow. Make sure you address every element that is included in your paper prototype.
  • Justify why the design is suited for the user. Your justification should be based on the borrower user story and what you have come to understand about the range of individual borrower needs from your explorations in the previous milestone. Address the following in your justification:In what order would the user be expected to work through the application?What are your reasons for including specific screen elements?Why have you brought certain data elements to the forefront?Why will this layout of information make sense to a user?How would a user complete tasks in the application?

  • Discuss how you balance creativity with the code of conduct Kiva provides. Select two list items from the Kiva Code of Conduct, which is linked in this module’s resource section, and explain how you took them into consideration with your design. Think about the responsibility designers have to serve their users and the organizations where their data is held.
  • Data Priorities
    Fatima Zohra Benkhouaja
    CS 319
    SNHU
    11/26/2022
    Data Priorities
    Borrowers Data Assessment
    By analyzing the Kiva CSV files, I can deduce that the borrowers are interested in learning about
    and comprehending the procedures and requirements for borrowing money. They also want to know
    what requirements must be met in order to receive funding on the platform. The cities with lenders
    will be of interest to the borrowers as well, since this may work in their favor. The data columns
    from the CSV that will be most useful to borrowers include location of the borrower, time of
    borrowing, as well as the amount borrowed. The interface needed for this will be rather simple and
    simply show the information that the borrowers will need to know. Many different people will make
    use of the system. Lenders and borrowers will both make use of the technology. Kiva will be able to
    monitor system activity once the system has an administration component. Every application user
    must have their individual system interface, according to the design requirement.
    Borrowers Stories
    The first user narrative I chose to examine was Tywon’s. He is a black small business entrepreneur
    who needs assistance raising money for his enterprise to purchase frozen food cold storage. People
    are drawn to Tywon because he is a black businessman who needs assistance growing his enterprise.
    I looked into Coldhubs narrative as my second subject. A tiny business in Nigeria called Coldhubs
    is asking for funding to buy refrigerated vehicles so that it can transport frozen food without it
    spoiling. They are unique since they are a locally owned Nigerian business.
    I notice a pattern after looking at all of these articles. Most people who want to invest in a business
    require a cause they can support or an endeavor they wish to support. I can tell that people want to
    know the gender and salary of the people they are sponsoring because there are so many small, black-
    owned businesses on this site. It appears that those who attempt to assist others want to determine
    whether they have any traits with the people they are assisting. Since more people seem to desire to
    assist smaller firms than larger ones, it also appears to be vital to know whether a small or large
    business needs money.
    Recommendation on Borrowers
    Considering the user stories I’ve read, the user’s race, gender, age, and an explanation of the task at
    hand would all need to be included in the wireframe of a user story. All of this information appears
    to be mentioned in the descriptions of the majority of user tales. But by including a field that the user
    must fill out with this data, we enable the lenders to more precisely look for persons they wish to
    assist. Additionally, by including these text boxes for the borrowers, more lenders will discover their
    tale and be more motivated to assist them. These additional elements to the wireframe are crucial
    since they enable the borrower to confirm that they have recorded the most crucial information and
    enable the lender to locate the individuals they are looking for.
    Lenders Data Evaluation
    A The Kiva application’s lender wants to be able to look up borrowers and view the repayments that
    they have made. We must examine the loan csv file in order to enable this for the lender. Particularly,
    the loan’s name, details, financed amount, length of the repayment period, and loan amount. The
    lender will be able to see all the borrowers, what they need a loan for, the loan amount, and how
    frequently they are paid back for the loan with the help of this information. We must think about
    what lenders want in order to create a decent interface for them. As a result, the lenders must provide
    a home screen with search and payment buttons. The lender will use these two buttons frequently,
    therefore they ought to be easy to see and locate. The various users will be of all racial and gender
    backgrounds who desire to assist those who are similar to them but are in worse financial positions.
    References
    CSV: http://s3.kiva.org/snapshots/kiva_ds_csv.zip

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