Challenge :   I was working on a project to design a table - top extension to enable users to have a space for   putting away things they did n’t actively want to use off their desk . I created a prototype that   would attach onto most desks with a clamp and would give a long adjustable arm for the user   with a large flat surface for placing objects like books , laptops and tablets . The design of the   prototype was informed by research and surveys – so expectations were that the design should   indeed improve user experience . 

 Selection :   However , this had to be tested out and while I had shown potential users drawings and use- case scenarios for the product , a true test of the products worth would be when the user would   be able to interact with the product and intuitively understand how to use it and figure out its   benefits . Because I had a working prototype , the approach I used to test the design was   obviously , the learning launch . The prototype was a result of a couple of months of research   and would reveal any assumptions or mistakes in my previous work , giving me a chance to fix   the final designs as the deadline for a commercially viable design came closer . 

 Application :   I reached out to random volunteers from our target market and requested them to test out my   prototype . I tried my best to keep the set of volunteers as broad as possible , with different   interests in changing their approach to working on their desks , and in trying out a new product . I   had a document of set questions that I would ask depending on their interests and answers to   other questions during the interaction . These questions were based off of our design ’s end   goals and so tested whether those goals were met or not . For example , because I wanted the   product to be attractive and intuitive once a user sees it on a store shelf , I allowed the test users   to interact with the product and guess on their own what the purpose of the design was . 

 Insight :   The application , was fairly effective and revealed many insights to which I was not initially   completely aware . I realized that the design ’s strength was not in how much mass it could lift   ( because this had been a factor that required quite a bit of work to achieve success in ) , but   about how intuitively the user could use the product . In fact , intuitiveness was one of the major   factors that inspired the design . The results of the tests were pretty positive and indicated that   the initial research that the current prototype had been backed by proved to be rather effective . 

 Approach :    However , I still feel that having more test users for the learning launch would have enabled me   to get clearer insights on how the target market will react to the product . In the current stage ,   most of my test users belonged to the same ethnic group and had a similar socio - economic   background – maybe I could have also tested the design with users that lied in the lowest and   highest percentiles of our user - interest expectations . Since this was an academic project ,   without a strong intention on actually mass producing the product , it served to be a very   insightful experience not only teaching me a lot of other soft skills that I may have not learnt had   I just trusted that my initial research would work . 


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: Challenge :   I was working on a project to design a table - top extension to enable users to have a space for   putting away things they did n’t actively want to use off their desk . I created a prototype that   would attach onto most desks with a clamp and would give a long adjustable arm for the user   with a large flat surface for placing objects like books , laptops and tablets . The design of the   prototype was informed by research and surveys – so expectations were that the design should   indeed improve user experience . 

 Selection :   However , this had to be tested out and while I had shown potential users drawings and use- case scenarios for the product , a true test of the products worth would be when the user would   be able to interact with the product and intuitively understand how to use it and figure out its   benefits . Because I had a working prototype , the approach I used to test the design was   obviously , the learning launch . The prototype was a result of a couple of months of research   and would reveal any assumptions or mistakes in my previous work , giving me a chance to fix   the final designs as the deadline for a commercially viable design came closer . 

 Application :   I reached out to random volunteers from our target market and requested them to test out my   prototype . I tried my best to keep the set of volunteers as broad as possible , with different   interests in changing their approach to working on their desks , and in trying out a new product . I   had a document of set questions that I would ask depending on their interests and answers to   other questions during the interaction . These questions were based off of our design ’s end   goals and so tested whether those goals were met or not . For example , because I wanted the   product to be attractive and intuitive once a user sees it on a store shelf , I allowed the test users   to interact with the product and guess on their own what the purpose of the design was . 

 Insight :   The application , was fairly effective and revealed many insights to which I was not initially   completely aware . I realized that the design ’s strength was not in how much mass it could lift   ( because this had been a factor that required quite a bit of work to achieve success in ) , but   about how intuitively the user could use the product . In fact , intuitiveness was one of the major   factors that inspired the design . The results of the tests were pretty positive and indicated that   the initial research that the current prototype had been backed by proved to be rather effective . 

 Approach :    However , I still feel that having more test users for the learning launch would have enabled me   to get clearer insights on how the target market will react to the product . In the current stage ,   most of my test users belonged to the same ethnic group and had a similar socio - economic   background – maybe I could have also tested the design with users that lied in the lowest and   highest percentiles of our user - interest expectations . Since this was an academic project ,   without a strong intention on actually mass producing the product , it served to be a very   insightful experience not only teaching me a lot of other soft skills that I may have not learnt had   I just trusted that my initial research would work .
### Output: 