Reflection – Learning Launch 

 Challenge and Selection 

 I am a part of motorcycle safety study and engineering team of my organisation . Having   used a number of design thinking activities / tools we obtained a lot of data relating to   motorcycle rider safety and some reasons as to why there involved high stakes in a   motorcycle crash . We set out to study and record data at the point of crash to analyse and   come up with an idea / concept to reduce motorcycle crashes . It was required that the   solution be conceptualized within a span of 6 months and cater to all types of motorcycle   riders . 

 We were required to carry out fast and cheap experiments in a controlled environment to   understand and test assumptions made in the study . We used the learning launch tool for   the same and considered inputs from all stakeholders to remove any confirmation bias . 

 Application 

 In a number of iterations of learning launch , we performed cheap experiments in   lab / controlled environment to assess and remove any disconfirming facts in the   idea / concept that the team came up with . We included members from different teams of   our organisation to provide inputs from their perspective towards the idea , some of whom   acted as sceptics providing crucial insights that otherwise would have went unnoticed . 

 Insight and Approach 

 The learning launch tool helped to test assumptions and prove some wrong in the process .   Using the learning launch tool helped to look at the problem at hand in a very different   angle . Actual results led to conclude that a majority of crashes happened due to distracted   riders and the fast and cheap experiments helped to narrow down on what to focus on as   we proceed with our idea / concept . 

 Given the large amount of data obtained at the start of the project , learning launch tool   proved to be an eye - opener and helped to add new data points into the scope of project .   Our team can review the data obtained in different iterations of learning launch and   incorporate them into future motorcycle designs . Future designs can learn from insights   gained , progress made and take us one step closer to a crash free environment . 


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 – Learning Launch 

 Challenge and Selection 

 I am a part of motorcycle safety study and engineering team of my organisation . Having   used a number of design thinking activities / tools we obtained a lot of data relating to   motorcycle rider safety and some reasons as to why there involved high stakes in a   motorcycle crash . We set out to study and record data at the point of crash to analyse and   come up with an idea / concept to reduce motorcycle crashes . It was required that the   solution be conceptualized within a span of 6 months and cater to all types of motorcycle   riders . 

 We were required to carry out fast and cheap experiments in a controlled environment to   understand and test assumptions made in the study . We used the learning launch tool for   the same and considered inputs from all stakeholders to remove any confirmation bias . 

 Application 

 In a number of iterations of learning launch , we performed cheap experiments in   lab / controlled environment to assess and remove any disconfirming facts in the   idea / concept that the team came up with . We included members from different teams of   our organisation to provide inputs from their perspective towards the idea , some of whom   acted as sceptics providing crucial insights that otherwise would have went unnoticed . 

 Insight and Approach 

 The learning launch tool helped to test assumptions and prove some wrong in the process .   Using the learning launch tool helped to look at the problem at hand in a very different   angle . Actual results led to conclude that a majority of crashes happened due to distracted   riders and the fast and cheap experiments helped to narrow down on what to focus on as   we proceed with our idea / concept . 

 Given the large amount of data obtained at the start of the project , learning launch tool   proved to be an eye - opener and helped to add new data points into the scope of project .   Our team can review the data obtained in different iterations of learning launch and   incorporate them into future motorcycle designs . Future designs can learn from insights   gained , progress made and take us one step closer to a crash free environment .
### Output: 