Mind Mapping 

 Challenge 

 I am part of a small team working at an AI ( Artificial Intelligence ) software startup . Our proprietary technology is a data   mining engine that sorts through and classifies large amounts of user data . After analyzing and extracting key patterns   from the data , the system offers predictions and recommendations . To showcase our AI automation system we decided   to develop a smart home / IoT ( Internet of Things ) product that could provide a variety of data sets including daily usage   patterns from home consumers . We wanted something that would follow the trend of automation and energy – saving   products in the home . After some market research we narrowed down our product to the home heating and cooling   sector . We knew that we wanted to develop a product that could work with air conditioners in some way . The challenge   we faced was finding the exact functionality and product features that would be right for the Asian market ( we are   based in S.Korea ) and could fit our project criteria in terms of timing and budget . We carried out some interviews and   received questionnaire data from the relevant consumer segments but we needed an effective way to analyze and see   the patterns from our consumer research and so we turned to design thinking . 

 Selection 

 Rather than having one or two people write a long report analyzing the research data we decided to use Mind Mapping .   Our product was to be something that every person in the home could use as everyone in South Korea uses air   conditioning , and so we felt that it was important to get everyone in the team involved in analyzing the data . We wanted   to find a creative and more engaging way for everyone in our team to view our research data and give their feedback on   it . The Mind Mapping process outlined by Ana Diaz and Jamie Mason , using the yard sale / art gallery analogy ,   seemed like the perfect way to get everyone involved and really extract some useful insights from our data . In our case ,   there were a variety of stakeholders that we opened up the Mind Mapping process to , starting with all 12 employees in   the startup and also invited a selection of the interviewees . As our office was located in a share office with other   startups , we also invited other startup company members to take part as all of them were in one of our potential   customer segments – users of air conditioners at home with an interest in technology . 

 Application 

 We took one of the large meeting rooms in our office , and laid out all the data from our interviews and questionnaires   on post - it notes on the walls in the style of gallery exhibition . The data was segmented by each user ’s housing conditions   and accordingly their air conditioning usage eg living in family apartment or living in a studio apartment . Other   information relating to lifestyle and daily routine was displayed such as occupation , interests and home habits .   Importantly , data relating to pain points with air conditioner usage for each user was also displayed .   We gave each   participant a guide sheet of the Mind Mapping tour , which allowed them to note down information they found   particularly interesting for each stakeholder , and also note down their thoughts and insights . We let some people take   the tour on their own while some went in pairs . After a view hours , we gathered everyone together and went through   each of the stakeholder data and reviewed the feedback from all the participants . We mapped out all the patterns and   insights from each stakeholder in one large stakeholder map . 

 Insight 

 This approach to Mind Mapping ended up being very useful . Previously we had analyzed our research data using written   reports and presentations made by a small team of individuals who then shared their findings with the rest of the team   in a group discussion setup . By involving more stakeholders and team members in the data analysis process   and making   it more creative and fun for everyone we found that we were able to discover more patterns and extract some outlying   insights and trends . More specifically for the challenge which we faced , which was to find specific functionality for our 

 device relating to air conditioning , this Mind Mapping tool helped us discover one feature that we had previously looked   over in our research . We were planning a product which would automatically control a regular room air conditioning   unit and replace the need for a remote control . A focus was always on considering the needs of the home owner / renter   but during this Mind Mapping session we discovered a new user , the home owner / renter ’s pet . We had previously   overlooked pets in our interview and surveys , and the question of pet ownership arose when several of our team   members questioned why some users were leaving their air conditioning on for long time periods when they were out of   their homes . 

 Another key insight that we learnt from the Mind Mapping session was that we did n’t necessarily need to restrict our   consumer to one sector such as home user . In our group discussion when we were discussing the feedback and thoughts   on the data collectively it became clear that there were potentially other environments in which the product could be   used , most notably the office and workplace . As most of our stakeholders worked outside of the home , in offices or   retail stores , it became clear that quite a few people had issues with air conditioning in these places as well . This made   us realize that we needed to go back and find research data on air conditioning usage in these environments too . 

 Approach 

 Overall , the Mind Mapping tool proved very successful as it gave us a much more diverse range of feedback and   allowed us to discover important outlier data such as the pet owners in the home using air conditioning , but also it   showed us that we needed to go back and research some other potential avenues for our product such as business   premises . In terms of the actual application of the Mind Mapping process , we learnt that it was better to get people   to initially analyze the data in groups , because we found that looking through it with other people created a more   engaging experience . We only used post - it notes to display the data and information but I think that adding some   more visual elements such as photos and/or simple sketches would visually make the displays and tour more   interesting , and in turn help spark more creativity . Another idea which we had to improve the process is to add a   gaming element to it . So we thought of removing or hiding some data , and getting users to fill in / guess what could   go there . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Mind Mapping 

 Challenge 

 I am part of a small team working at an AI ( Artificial Intelligence ) software startup . Our proprietary technology is a data   mining engine that sorts through and classifies large amounts of user data . After analyzing and extracting key patterns   from the data , the system offers predictions and recommendations . To showcase our AI automation system we decided   to develop a smart home / IoT ( Internet of Things ) product that could provide a variety of data sets including daily usage   patterns from home consumers . We wanted something that would follow the trend of automation and energy – saving   products in the home . After some market research we narrowed down our product to the home heating and cooling   sector . We knew that we wanted to develop a product that could work with air conditioners in some way . The challenge   we faced was finding the exact functionality and product features that would be right for the Asian market ( we are   based in S.Korea ) and could fit our project criteria in terms of timing and budget . We carried out some interviews and   received questionnaire data from the relevant consumer segments but we needed an effective way to analyze and see   the patterns from our consumer research and so we turned to design thinking . 

 Selection 

 Rather than having one or two people write a long report analyzing the research data we decided to use Mind Mapping .   Our product was to be something that every person in the home could use as everyone in South Korea uses air   conditioning , and so we felt that it was important to get everyone in the team involved in analyzing the data . We wanted   to find a creative and more engaging way for everyone in our team to view our research data and give their feedback on   it . The Mind Mapping process outlined by Ana Diaz and Jamie Mason , using the yard sale / art gallery analogy ,   seemed like the perfect way to get everyone involved and really extract some useful insights from our data . In our case ,   there were a variety of stakeholders that we opened up the Mind Mapping process to , starting with all 12 employees in   the startup and also invited a selection of the interviewees . As our office was located in a share office with other   startups , we also invited other startup company members to take part as all of them were in one of our potential   customer segments – users of air conditioners at home with an interest in technology . 

 Application 

 We took one of the large meeting rooms in our office , and laid out all the data from our interviews and questionnaires   on post - it notes on the walls in the style of gallery exhibition . The data was segmented by each user ’s housing conditions   and accordingly their air conditioning usage eg living in family apartment or living in a studio apartment . Other   information relating to lifestyle and daily routine was displayed such as occupation , interests and home habits .   Importantly , data relating to pain points with air conditioner usage for each user was also displayed .   We gave each   participant a guide sheet of the Mind Mapping tour , which allowed them to note down information they found   particularly interesting for each stakeholder , and also note down their thoughts and insights . We let some people take   the tour on their own while some went in pairs . After a view hours , we gathered everyone together and went through   each of the stakeholder data and reviewed the feedback from all the participants . We mapped out all the patterns and   insights from each stakeholder in one large stakeholder map . 

 Insight 

 This approach to Mind Mapping ended up being very useful . Previously we had analyzed our research data using written   reports and presentations made by a small team of individuals who then shared their findings with the rest of the team   in a group discussion setup . By involving more stakeholders and team members in the data analysis process   and making   it more creative and fun for everyone we found that we were able to discover more patterns and extract some outlying   insights and trends . More specifically for the challenge which we faced , which was to find specific functionality for our 

 device relating to air conditioning , this Mind Mapping tool helped us discover one feature that we had previously looked   over in our research . We were planning a product which would automatically control a regular room air conditioning   unit and replace the need for a remote control . A focus was always on considering the needs of the home owner / renter   but during this Mind Mapping session we discovered a new user , the home owner / renter ’s pet . We had previously   overlooked pets in our interview and surveys , and the question of pet ownership arose when several of our team   members questioned why some users were leaving their air conditioning on for long time periods when they were out of   their homes . 

 Another key insight that we learnt from the Mind Mapping session was that we did n’t necessarily need to restrict our   consumer to one sector such as home user . In our group discussion when we were discussing the feedback and thoughts   on the data collectively it became clear that there were potentially other environments in which the product could be   used , most notably the office and workplace . As most of our stakeholders worked outside of the home , in offices or   retail stores , it became clear that quite a few people had issues with air conditioning in these places as well . This made   us realize that we needed to go back and find research data on air conditioning usage in these environments too . 

 Approach 

 Overall , the Mind Mapping tool proved very successful as it gave us a much more diverse range of feedback and   allowed us to discover important outlier data such as the pet owners in the home using air conditioning , but also it   showed us that we needed to go back and research some other potential avenues for our product such as business   premises . In terms of the actual application of the Mind Mapping process , we learnt that it was better to get people   to initially analyze the data in groups , because we found that looking through it with other people created a more   engaging experience . We only used post - it notes to display the data and information but I think that adding some   more visual elements such as photos and/or simple sketches would visually make the displays and tour more   interesting , and in turn help spark more creativity . Another idea which we had to improve the process is to add a   gaming element to it . So we thought of removing or hiding some data , and getting users to fill in / guess what could   go there .
### Output: 