Learning Launch 

 Challenge 

 I am a member of a company focused on mobility and which operates in four areas , car   rental , franchising , fleet management for entrepreneurs and other companies and   vehicle sales . For employees above a certain position , we have the benefit of the   operational car . However , the experience was not positive , generating several calls   from the service team with doubts and complaints , burdening the sector for what   should be considered a benefit . The NPS of the experiment was close to 43 % and we   decided to improve the process and use this indicator as a thermometer . 

 Selection 

 After mapping the “ As Is ” process , we convened a focus group with 13 participants ,   recently benefited from the operational car and mapped their impressions , complaints   and expectations . We decided that with the answers obtained , we could deepen our   understanding of the employees involved in order to build a prototype of the redesign   of the journey to be tested in a focus group through the “ learning launch ” tool . 

 Application 

 We promote a show room with cases from the market and possibilities involving   applications of new technologies for the area . In the process , we had better   understanding of how our employees relate to the benefit and what their expectations   were in relation to the vehicle used as an operational car . We understood that , in   addition to a tool , the vehicle could also add value to the employees routine through   small changes , especially in embedded technology . 

 Finally , we decided to test a new model that was more similar to the new   characteristics emerging from the research process , valuing the cost x impact ratio .   Employees participating in what we call the “ to be ” journey were asked to answer the   NPS questionnaire , for them , and the rate obtained was 83 % . 

 Insight 

 I was able to note that , by dealing with complex and often more subjective issues , the   design thinking tools allow us to approach challenges in an open and flexible way ,   valuing experience as a fundamental marker of decision making . The journey matters 

 more than the destination , since each aspect considered is a potential trigger for   future adjustments . 

 Approach 

 Learning Launch is a tool that provides insight into how reality behaves in the face of   our projections . However , used the way we did to redesign the operational car   journey , with a single tested model , it is less effective than if used as a tool for testing   various models simultaneously . Because , even if the experience in analysis was a   success , there is no guarantee that we would not achieve better results with different   approaches . In the future , I intend to increase the range of possibilities to enrich the   process . 


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: Learning Launch 

 Challenge 

 I am a member of a company focused on mobility and which operates in four areas , car   rental , franchising , fleet management for entrepreneurs and other companies and   vehicle sales . For employees above a certain position , we have the benefit of the   operational car . However , the experience was not positive , generating several calls   from the service team with doubts and complaints , burdening the sector for what   should be considered a benefit . The NPS of the experiment was close to 43 % and we   decided to improve the process and use this indicator as a thermometer . 

 Selection 

 After mapping the “ As Is ” process , we convened a focus group with 13 participants ,   recently benefited from the operational car and mapped their impressions , complaints   and expectations . We decided that with the answers obtained , we could deepen our   understanding of the employees involved in order to build a prototype of the redesign   of the journey to be tested in a focus group through the “ learning launch ” tool . 

 Application 

 We promote a show room with cases from the market and possibilities involving   applications of new technologies for the area . In the process , we had better   understanding of how our employees relate to the benefit and what their expectations   were in relation to the vehicle used as an operational car . We understood that , in   addition to a tool , the vehicle could also add value to the employees routine through   small changes , especially in embedded technology . 

 Finally , we decided to test a new model that was more similar to the new   characteristics emerging from the research process , valuing the cost x impact ratio .   Employees participating in what we call the “ to be ” journey were asked to answer the   NPS questionnaire , for them , and the rate obtained was 83 % . 

 Insight 

 I was able to note that , by dealing with complex and often more subjective issues , the   design thinking tools allow us to approach challenges in an open and flexible way ,   valuing experience as a fundamental marker of decision making . The journey matters 

 more than the destination , since each aspect considered is a potential trigger for   future adjustments . 

 Approach 

 Learning Launch is a tool that provides insight into how reality behaves in the face of   our projections . However , used the way we did to redesign the operational car   journey , with a single tested model , it is less effective than if used as a tool for testing   various models simultaneously . Because , even if the experience in analysis was a   success , there is no guarantee that we would not achieve better results with different   approaches . In the future , I intend to increase the range of possibilities to enrich the   process .
### Output: 