Reflection – Dynamic feature development - Learning Launch 

 Challenge : 

 Myself Product manager of a workflow product which is rolled out across   Organization covering all the three regions APAC , EMEA and AM ( worldwide ) . The   product should be available 24/7 for users . My challenge here is to keep the   product stable and provide new features and various improvements based on the   user requirements and challenges within in the given limited budget . As the   product is worldwide , need to also ensure that the features rolled out and   compliance to their local legal conditions 

 Here , the main problem is that the same feature is needed by all the regions   however there could be some changes in layout or labelling and process within   which this feature should be incorporated . So , the development of the feature   should so flexible to configure based on local legal requirements , compliance and   cost effective 

 Selection : 

 Our team have checked many possible tools to help us in successful building a   feature cost effective and flexible to use within multi - geographical legal   requirements . So we are ready to try the learning launch tool .   As I understand   this tool help to quickly test the feature / idea ( incl . key stake holders ) before we   actually launch the feature 

 Application : 

 For our first experiment , we would create a detailed hypothesis of the feature   which solve the need or problems of a user group .   Now consider each of the   country or location specific legal requirements which should be used to make this   feature available in a specific location .   List out the assumptions how this feature   can be used with a change in process . This helps us that the requirements of the 

 feature is clearly defined and then know how a feature should be placed in each   of the locations . 

 Now with this , we learn the clarity on how this feature can be designed in each of   the locations .   It ’s the time for now to test our first experiment with key   stakeholders by showing how the feature is being developed by drawing a process   flow and how it can be used in each of these locations and also importantly   mention other alternative which could solve problem with constraints or at high   costs 

 Insight : 

 By applying the learning from the learning launch tool , we understand that our   design and flow of the feature is easily drafted and represented even before we   actual launch the feature . The tests from the stakeholders helps to gain the clarity   of the feature is actually solving the problem or need . This can be iterative   process if the tests are successful .   Most important learning is experiment before   actually launch the idea or feature , helps in fail fast and table the idea to re - work 

 Approach : 

 In the course of journey , we have come across many tools which are complex or   half - successful but this learning launch tool seems promising . However , we would   need to apply on more and more ideas and see how the progress is made with a   given baseline . 


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 – Dynamic feature development - Learning Launch 

 Challenge : 

 Myself Product manager of a workflow product which is rolled out across   Organization covering all the three regions APAC , EMEA and AM ( worldwide ) . The   product should be available 24/7 for users . My challenge here is to keep the   product stable and provide new features and various improvements based on the   user requirements and challenges within in the given limited budget . As the   product is worldwide , need to also ensure that the features rolled out and   compliance to their local legal conditions 

 Here , the main problem is that the same feature is needed by all the regions   however there could be some changes in layout or labelling and process within   which this feature should be incorporated . So , the development of the feature   should so flexible to configure based on local legal requirements , compliance and   cost effective 

 Selection : 

 Our team have checked many possible tools to help us in successful building a   feature cost effective and flexible to use within multi - geographical legal   requirements . So we are ready to try the learning launch tool .   As I understand   this tool help to quickly test the feature / idea ( incl . key stake holders ) before we   actually launch the feature 

 Application : 

 For our first experiment , we would create a detailed hypothesis of the feature   which solve the need or problems of a user group .   Now consider each of the   country or location specific legal requirements which should be used to make this   feature available in a specific location .   List out the assumptions how this feature   can be used with a change in process . This helps us that the requirements of the 

 feature is clearly defined and then know how a feature should be placed in each   of the locations . 

 Now with this , we learn the clarity on how this feature can be designed in each of   the locations .   It ’s the time for now to test our first experiment with key   stakeholders by showing how the feature is being developed by drawing a process   flow and how it can be used in each of these locations and also importantly   mention other alternative which could solve problem with constraints or at high   costs 

 Insight : 

 By applying the learning from the learning launch tool , we understand that our   design and flow of the feature is easily drafted and represented even before we   actual launch the feature . The tests from the stakeholders helps to gain the clarity   of the feature is actually solving the problem or need . This can be iterative   process if the tests are successful .   Most important learning is experiment before   actually launch the idea or feature , helps in fail fast and table the idea to re - work 

 Approach : 

 In the course of journey , we have come across many tools which are complex or   half - successful but this learning launch tool seems promising . However , we would   need to apply on more and more ideas and see how the progress is made with a   given baseline .
### Output: 