MIND MAPPING TOOL     Challenge   A junior software developer at the digital agency where I work had an idea for a mobile app  that would aggregate news. Its users would be all South Africans, not just those who live in  major cities and have easy access to online news sources at their offices.    The app would need to meet the needs of the users, be financially sustainable, and be  competitive in the marketplace. It would need to be a mobile app as over 80% of South  Africans use only their phone to go online.    Selection   We had already collected data and information about our users and competitor apps, so we  decided to use the Mind Mapping tool. In her video, Mariah Moore defines Mind Mapping  as the process of looking for patterns and insight in the data that has already been  collected, which is what we needed to do.     We needed to analyse our information and choose the primary features of the app that  would meet the needs of our users in the best way. We already thought that real-time,  accurate translation would be the star feature of the app, as South Africa has 11 official  languages.     Application   We arranged the user personas, information about cellular data costs and the other  research we had collected in the coffee area in our office and invited all 20 people who  work at our agency, from the receptionist to the CEO.     After examining the information, everyone shared their insights and these were grouped  together by theme, such as user behavior, technical requirements and user interface.  Insights were also broken down into two broad categories: those that would be very  expensive to implement, and those that would be more attainable on our limited budget.      Insight  Translation wasn’t as important as we had thought it was, as people were comfortable  reading the news in English. Accurate, AI-based translation was also marked as an expensive  feature.    Our most important insight was that people avoided using mobile apps because of the  prohibitively high cost of cellular data. However, they still wanted to stay up to date with  news and current affairs. From this insight, we realized that the main feature of our app  would be that users could select how much data they wanted to use on articles. It would be  valuable to them if they could select “light” (which would be summarized text only without  any images or video), “medium” (text and fewer than two images) or “heavy” (text, images  and video) so that the amount of data they used would match their budgets.

Approach   Mind Mapping was a very valuable process for us. The next step is a Learning Launch. We  want to create a very basic prototype app and observe how users interact with it, and if the  ability to select how much data they use is a feature that they value.     We will also create a second prototype app that only shows users “light” articles without  any images or video, and compare how they respond to the two versions of the app.


MIND MAPPING TOOL Challenge A junior software developer at the digital agency where I work had an idea for a mobile app that would aggregate news . Its users would be all South Africans , not just those who live in major cities and have easy access to online news sources at their offices . The app would need to meet the needs of the users , be financially sustainable , and be competitive in the marketplace . It would need to be a mobile app as over 80 % of South Africans use only their phone to go online . Selection We had already collected data and information about our users and competitor apps , so we decided to use the Mind Mapping tool . In her video , Mariah Moore defines Mind Mapping as the process of looking for patterns and insight in the data that has already been collected , which is what we needed to do . We needed to analyse our information and choose the primary features of the app that would meet the needs of our users in the best way . We already thought that real - time , accurate translation would be the star feature of the app , as South Africa has 11 official languages . Application We arranged the user personas , information about cellular data costs and the other research we had collected in the coffee area in our office and invited all 20 people who work at our agency , from the receptionist to the CEO . After examining the information , everyone shared their insights and these were grouped together by theme , such as user behavior , technical requirements and user interface . Insights were also broken down into two broad categories : those that would be very expensive to implement , and those that would be more attainable on our limited budget . Insight Translation was n’t as important as we had thought it was , as people were comfortable reading the news in English . Accurate , AI - based translation was also marked as an expensive feature . Our most important insight was that people avoided using mobile apps because of the prohibitively high cost of cellular data . However , they still wanted to stay up to date with news and current affairs . From this insight , we realized that the main feature of our app would be that users could select how much data they wanted to use on articles . It would be valuable to them if they could select “ light ” ( which would be summarized text only without any images or video ) , “ medium ” ( text and fewer than two images ) or “ heavy ” ( text , images and video ) so that the amount of data they used would match their budgets . Approach Mind Mapping was a very valuable process for us . The next step is a Learning Launch . We want to create a very basic prototype app and observe how users interact with it , and if the ability to select how much data they use is a feature that they value . We will also create a second prototype app that only shows users “ light ” articles without any images or video , and compare how they respond to the two versions of the app .