Reflection – Mind mapping 

 Challenge & Selection 

 Two years ago I worked as a lecturer at the Pesto Pizza of my city . Our class goal   was to match student 's knowledge with non - profit organization necessities . We would make teams   of 5 , with people from different careers ( economics , accountancy , business administration , actuary ) ,   and then guide them in the process of designing and executing innovations that could help a   selected NGO ( non government organization ) in their business . 

 In this case I will talk about ​our work with Cupe , a NGO that aims to improve life conditions of   low income individuals using educational and support tools . ​Their main function is about giving   workshops and training to help people get a job​. 

 The challenge was to create something that could boost investors willing to give financial   assistance ​to Cupe . With that goal in mind and after being working on the “ what is ? ” stage , we   started to connect the dots using mind mapping . 

 Mind mapping , as seen in the third week video , is about looking for patterns in the collected data .   The use of this tool would help in the quest for a design criteria just before entering the “ what if ? ”   idea generation fase . 

 Application 

 We knew that it would be easier to open investors pockets if they get solid prospects about the   return of their investments​.   Taking that into account and after spending some weeks getting data   from the different stakeholders , we started to draw a mind map . 

 At the center of the map we placed the beneficiaries of Cupe work . Then around it , we draw the   different topics ( and subtopics ): Who are they / How they live ( cluster in main groups ) ; Cupe   ( functions ) ; Investors ( cluster main groups ) ; Government ( relevant policies linked to this   population ) . 

 With the map on the table we began feeding it with data . We conducted extensive surveys to all the   actors in play . Some patterns started to emerge . It was clear that the effectiveness of the different   services given by Cupe had a large variance depending on the beneficiary . The results were   different due to their population life / health conditions , educational stage , amount of kids , and other   features . 

 In the quest for more precise patterns ​we applied a linear regression​ after which we could measure   the importance of each feature . It was shocking that “ overcrowding habitat ” was the most powerful   variable . People that could manage to study quietly at home had better results than the other ones ,   even if they had only elementary education . In second place was “ educational level ” , but this   variable was especially powerful between individuals that had not finished elementary school . 

 The described facts helped us to think of a new way to manage Cupe funds​. We started with a   small scale operation . We opened a library and an infant care service , results were overwhelming . 

 After concluding the experience , ​we created a brochure focused on these measurements​. Investors   were happy to see numbers and metrics linked to the use of their money . But not only that , they   started to talk about this with colleagues and friends , an NGO that makes linear regressions and   maximize the social impact of the money invested was a good title in the “ mouth to mouth ” market .   So fundraising got an important upgrade after the job was done . 

 Reflection – Mind mapping 

 Insight & Approach 

 In a nutshell , pattern finding was the key concept in our work​. Active Hearing of the beneficiaries   necessities and adding statistical tools to boost their power , were vital components of our plan . It   was really important to mix an analytical / technical approach with a humanitarian / caring one . The   mind map made possible to have all of this at the table . It was like creating a control panel and then   learning which buttons to push to get a better outcome . 

 Next time I will try to improve our data collection techniques.​ You can always get better in actively   listening and making surveys​. Also we will attempt to simplify the explanation of the used tools , we   had some trouble getting people to understand them . 


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: Reflection – Mind mapping 

 Challenge & Selection 

 Two years ago I worked as a lecturer at the Pesto Pizza of my city . Our class goal   was to match student 's knowledge with non - profit organization necessities . We would make teams   of 5 , with people from different careers ( economics , accountancy , business administration , actuary ) ,   and then guide them in the process of designing and executing innovations that could help a   selected NGO ( non government organization ) in their business . 

 In this case I will talk about ​our work with Cupe , a NGO that aims to improve life conditions of   low income individuals using educational and support tools . ​Their main function is about giving   workshops and training to help people get a job​. 

 The challenge was to create something that could boost investors willing to give financial   assistance ​to Cupe . With that goal in mind and after being working on the “ what is ? ” stage , we   started to connect the dots using mind mapping . 

 Mind mapping , as seen in the third week video , is about looking for patterns in the collected data .   The use of this tool would help in the quest for a design criteria just before entering the “ what if ? ”   idea generation fase . 

 Application 

 We knew that it would be easier to open investors pockets if they get solid prospects about the   return of their investments​.   Taking that into account and after spending some weeks getting data   from the different stakeholders , we started to draw a mind map . 

 At the center of the map we placed the beneficiaries of Cupe work . Then around it , we draw the   different topics ( and subtopics ): Who are they / How they live ( cluster in main groups ) ; Cupe   ( functions ) ; Investors ( cluster main groups ) ; Government ( relevant policies linked to this   population ) . 

 With the map on the table we began feeding it with data . We conducted extensive surveys to all the   actors in play . Some patterns started to emerge . It was clear that the effectiveness of the different   services given by Cupe had a large variance depending on the beneficiary . The results were   different due to their population life / health conditions , educational stage , amount of kids , and other   features . 

 In the quest for more precise patterns ​we applied a linear regression​ after which we could measure   the importance of each feature . It was shocking that “ overcrowding habitat ” was the most powerful   variable . People that could manage to study quietly at home had better results than the other ones ,   even if they had only elementary education . In second place was “ educational level ” , but this   variable was especially powerful between individuals that had not finished elementary school . 

 The described facts helped us to think of a new way to manage Cupe funds​. We started with a   small scale operation . We opened a library and an infant care service , results were overwhelming . 

 After concluding the experience , ​we created a brochure focused on these measurements​. Investors   were happy to see numbers and metrics linked to the use of their money . But not only that , they   started to talk about this with colleagues and friends , an NGO that makes linear regressions and   maximize the social impact of the money invested was a good title in the “ mouth to mouth ” market .   So fundraising got an important upgrade after the job was done . 

 Reflection – Mind mapping 

 Insight & Approach 

 In a nutshell , pattern finding was the key concept in our work​. Active Hearing of the beneficiaries   necessities and adding statistical tools to boost their power , were vital components of our plan . It   was really important to mix an analytical / technical approach with a humanitarian / caring one . The   mind map made possible to have all of this at the table . It was like creating a control panel and then   learning which buttons to push to get a better outcome . 

 Next time I will try to improve our data collection techniques.​ You can always get better in actively   listening and making surveys​. Also we will attempt to simplify the explanation of the used tools , we   had some trouble getting people to understand them .
### Output: 