Reflection – Learning Launch 

 Challenge       I am a member of a group which is trying to help a non - profit group to identify which   of their services are most used , how they could add more value and monetize the   service that would be subscriber budget friendly as well as revenue generating just   enough to sustain the operational cost of those services . Which is a win - win situation   for service provider and the subscribers . We wanted to get this activity done in a   time bound manner . Need to interact with the non - profit group to understand the   different features that are on offer and the value proposition . Also , need to interact   with the citizen in the neighborhood .     Selection     Our team spent time meeting with individual of the non - profit group along with going   through the available documents regarding the services and the special features that   each of the services offered and their locations . Short listed a few that seem to be   quite promising for our test launch .     Application     For our launch , we focused on choosing the right combination of locations /   neighborhoods where a service with a specific feature would be supported by the   non - profit group . As part of this we chose to shadow the non - profit group member   right through the service and made relevant observations and notes . Additionally , we   prepared a short survey for the user of the service to capture feedback regarding   specific aspects of the service and enquired if they were willing to pay for the service   and if so in what range . After the completion of the test launch phase . All   observations , user feedback was collated .     Insight     More often than not the data collected as part of the above test launch confirmed a   good number of service features did indeed have a great demand and along with   there are a few surprises regarding the last of demand or appeal for most promising   service as though by the non - profit group . There was some other interesting by   products of the feedback , one of which is a request for a service which is not offered   as of yet , Pain points in the service that is offered and possible enhance / modification   of the service offering which the non - profit group did not have visibility into till then . 

 Approach     This quick test launch helped the non - profit group to identify which service are in   demand in which neighborhoods and they also worked on the user requested   modifications to increase the overall user experience with regards the service   offering . Armed with the insights non - profit group was able to target specific   neighborhoods with specific service to deliver value to the community and expanded   they reach . 


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       I am a member of a group which is trying to help a non - profit group to identify which   of their services are most used , how they could add more value and monetize the   service that would be subscriber budget friendly as well as revenue generating just   enough to sustain the operational cost of those services . Which is a win - win situation   for service provider and the subscribers . We wanted to get this activity done in a   time bound manner . Need to interact with the non - profit group to understand the   different features that are on offer and the value proposition . Also , need to interact   with the citizen in the neighborhood .     Selection     Our team spent time meeting with individual of the non - profit group along with going   through the available documents regarding the services and the special features that   each of the services offered and their locations . Short listed a few that seem to be   quite promising for our test launch .     Application     For our launch , we focused on choosing the right combination of locations /   neighborhoods where a service with a specific feature would be supported by the   non - profit group . As part of this we chose to shadow the non - profit group member   right through the service and made relevant observations and notes . Additionally , we   prepared a short survey for the user of the service to capture feedback regarding   specific aspects of the service and enquired if they were willing to pay for the service   and if so in what range . After the completion of the test launch phase . All   observations , user feedback was collated .     Insight     More often than not the data collected as part of the above test launch confirmed a   good number of service features did indeed have a great demand and along with   there are a few surprises regarding the last of demand or appeal for most promising   service as though by the non - profit group . There was some other interesting by   products of the feedback , one of which is a request for a service which is not offered   as of yet , Pain points in the service that is offered and possible enhance / modification   of the service offering which the non - profit group did not have visibility into till then . 

 Approach     This quick test launch helped the non - profit group to identify which service are in   demand in which neighborhoods and they also worked on the user requested   modifications to increase the overall user experience with regards the service   offering . Armed with the insights non - profit group was able to target specific   neighborhoods with specific service to deliver value to the community and expanded   they reach .
### Output: 