Example Reflection : Learning Launch 

 Challenge : 

 I work in an organization which involves design and manufacture of racecars . One of the essential   areas is aerodynamics . This involves study and modification of airflow around the car . Our work   involves design of various parts that would improve the airflow , and use it to have a better   performing car . The part design is done by a big group of people , having diverse ideas . Hence , a   selection has to be made from the multiple ideas that are generated , based on predefined   criteria . 

 Picture : The racecar for 2020 season 

 Selection : 

 We decided to use the ‘ Learning Launch ’ tool covered in this course to help us decide which part   would be the best suited . This tool is basically experimentation based out of assumptions . These   experiments would then generate data . The data , when analyzed according to the requirements/   criteria , would yield a result for the experiment . We may choose to select or scrap that   assumption or modify it . Thus , it is the ‘ What works ’ stage of Design Thinking . 

 Application : 

 We had various designs for a particular part of the car . The criteria for selection was predefined .   In order to generate data , each part had to be analyzed using a computer software . The values   obtained after analysis were ‘ downforce ’ and ‘ drag ’ . A map of the airflow around the car was also   obtained . 

 This data was made available for each prospective part . The selection criteria included cost and   feasibility of manufacture , performance gains for the car and reusability . Thus , using the Learning   Launch tool , we could decide which part works best for the car . We were able to have an   informed decision . We also became aware of the shortcomings in other parts and that became   an input for further development . Thus , we realized the ‘ What works ’ part of our design . 

 Insights : 

 Use of the Learning Launch tool as a part of Design Thinking was helpful to ensure that all ideas   are analyzed properly and given justice . This is very important in an organization where multiple   ideas are generated and a decision has to be made . It also helped us in generating input for the   design of new parts , which becomes and additional benefit . 

 Approach : 

 I would aim at including the Visualization tool to the initial stage of the racecar design . The   racecar is made up of hundred of parts , and it is important to have a common goal for all   departments involved . This tool would help in developing a framework for collaboration between   all the mechanisms involved and help in reducing delay . 


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: Example Reflection : Learning Launch 

 Challenge : 

 I work in an organization which involves design and manufacture of racecars . One of the essential   areas is aerodynamics . This involves study and modification of airflow around the car . Our work   involves design of various parts that would improve the airflow , and use it to have a better   performing car . The part design is done by a big group of people , having diverse ideas . Hence , a   selection has to be made from the multiple ideas that are generated , based on predefined   criteria . 

 Picture : The racecar for 2020 season 

 Selection : 

 We decided to use the ‘ Learning Launch ’ tool covered in this course to help us decide which part   would be the best suited . This tool is basically experimentation based out of assumptions . These   experiments would then generate data . The data , when analyzed according to the requirements/   criteria , would yield a result for the experiment . We may choose to select or scrap that   assumption or modify it . Thus , it is the ‘ What works ’ stage of Design Thinking . 

 Application : 

 We had various designs for a particular part of the car . The criteria for selection was predefined .   In order to generate data , each part had to be analyzed using a computer software . The values   obtained after analysis were ‘ downforce ’ and ‘ drag ’ . A map of the airflow around the car was also   obtained . 

 This data was made available for each prospective part . The selection criteria included cost and   feasibility of manufacture , performance gains for the car and reusability . Thus , using the Learning   Launch tool , we could decide which part works best for the car . We were able to have an   informed decision . We also became aware of the shortcomings in other parts and that became   an input for further development . Thus , we realized the ‘ What works ’ part of our design . 

 Insights : 

 Use of the Learning Launch tool as a part of Design Thinking was helpful to ensure that all ideas   are analyzed properly and given justice . This is very important in an organization where multiple   ideas are generated and a decision has to be made . It also helped us in generating input for the   design of new parts , which becomes and additional benefit . 

 Approach : 

 I would aim at including the Visualization tool to the initial stage of the racecar design . The   racecar is made up of hundred of parts , and it is important to have a common goal for all   departments involved . This tool would help in developing a framework for collaboration between   all the mechanisms involved and help in reducing delay .
### Output: 