Learning Launch 

 Challenge      I ’m currently working in an American company dedicated to fashion retail and I ’m part of the e- commerce team and me and my coworker were assigned to improve the online payment called Cash on   Delivery in order to improve the customer experience with the brand . The project includes besides me and   my coworker , the warehouse team composed by six people as well as the team members of our logistics   partner composed of 3 employees , as well as the IT department , with whom we work closely for any   improvements in our website , the customer service team composed by 3 people and finally the legal team   composed by 2 persons . The project is limited to internal resources mainly employees time . The project is   planned to be finish within 3 weeks . The solution should be based on an even distribution of working hours   among ourselves .      Selection      So we came up with a few ideas quickly since our job it ’s to react as fast as possible to new challenges   regarding the general customer experience . So among those ideas , one was more likely to be applied   quicker so the learning launch was what we chose since it ’s based on testing an idea and prototyping .       Application      For our learning launch , we focused on the structure of our online payments , we wanted to see if we could   match the orders received and sent from us with the ones shipped from our logistics partner .    In order to do so , first we applied the scum project management to be more in control of our data base ,   meetings , conjoint reviews etc . This tested our assumption that there was a miscommunication from the   drivers of our logistics partner that left us with the challenge of an incomplete data base and customer   complaints .   Next , we agreed on a conjoint document of daily data to be completed in real time to be able to acquire   reliable data in a more agile way , we did this within a 3 - 5 days ’ timeframe , producing a document with   clear goals , data and notes from the orders of the day .     For our second learning launch , we focused on gaining clarity about the delivery . This tested our   assumption that most of our clients use this payment method so the delivery was compromised because of   the large volume of orders and the almost non - contact directly to the customer when the delivery was   occurring . So to try to mitigate this non - contact with the customer we came up to contact them directly to   WhatsApp from a brand ’s exclusive account with the most precisely data of their shipment .   Additionally , the customer service team send an email once the drivers was an hour or two from delivering   via e - mail to notify the customer that the package was “ on its way ” to be there .      Insight      By applying the learning launch tool , our team identified our assumptions and designed launches to test   these assumptions . Additionally , we came up with a very easy way to communicate and be in close   relationship with the customer to improve the general shopping experience . Our actual results were great ,   currently we have access to the daily document were we have a more accurate status of the orders and   also our general shopping experience and comments from the clients had a huge improvement . Moving   forward , our team will keep on improving new channels of social media to be more in touch with our   customers .      Approach      Given the short amount of time and the urgency to have an improvement we thought the learning launch   was a great tool for us . For future launch designs our team surely will have a more complete insight on how   to approach a challenge and come closer to a compelling solution ready for a full rollout . 


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: Learning Launch 

 Challenge      I ’m currently working in an American company dedicated to fashion retail and I ’m part of the e- commerce team and me and my coworker were assigned to improve the online payment called Cash on   Delivery in order to improve the customer experience with the brand . The project includes besides me and   my coworker , the warehouse team composed by six people as well as the team members of our logistics   partner composed of 3 employees , as well as the IT department , with whom we work closely for any   improvements in our website , the customer service team composed by 3 people and finally the legal team   composed by 2 persons . The project is limited to internal resources mainly employees time . The project is   planned to be finish within 3 weeks . The solution should be based on an even distribution of working hours   among ourselves .      Selection      So we came up with a few ideas quickly since our job it ’s to react as fast as possible to new challenges   regarding the general customer experience . So among those ideas , one was more likely to be applied   quicker so the learning launch was what we chose since it ’s based on testing an idea and prototyping .       Application      For our learning launch , we focused on the structure of our online payments , we wanted to see if we could   match the orders received and sent from us with the ones shipped from our logistics partner .    In order to do so , first we applied the scum project management to be more in control of our data base ,   meetings , conjoint reviews etc . This tested our assumption that there was a miscommunication from the   drivers of our logistics partner that left us with the challenge of an incomplete data base and customer   complaints .   Next , we agreed on a conjoint document of daily data to be completed in real time to be able to acquire   reliable data in a more agile way , we did this within a 3 - 5 days ’ timeframe , producing a document with   clear goals , data and notes from the orders of the day .     For our second learning launch , we focused on gaining clarity about the delivery . This tested our   assumption that most of our clients use this payment method so the delivery was compromised because of   the large volume of orders and the almost non - contact directly to the customer when the delivery was   occurring . So to try to mitigate this non - contact with the customer we came up to contact them directly to   WhatsApp from a brand ’s exclusive account with the most precisely data of their shipment .   Additionally , the customer service team send an email once the drivers was an hour or two from delivering   via e - mail to notify the customer that the package was “ on its way ” to be there .      Insight      By applying the learning launch tool , our team identified our assumptions and designed launches to test   these assumptions . Additionally , we came up with a very easy way to communicate and be in close   relationship with the customer to improve the general shopping experience . Our actual results were great ,   currently we have access to the daily document were we have a more accurate status of the orders and   also our general shopping experience and comments from the clients had a huge improvement . Moving   forward , our team will keep on improving new channels of social media to be more in touch with our   customers .      Approach      Given the short amount of time and the urgency to have an improvement we thought the learning launch   was a great tool for us . For future launch designs our team surely will have a more complete insight on how   to approach a challenge and come closer to a compelling solution ready for a full rollout .
### Output: 