Learning Launch 

 Challenge     We are responsible for an auto service center franchiser business website which provides   product and service information in detail . In this era , we need to drive online customers to offline   stores the most while compromising online sales that affect franchisee revenue . We plan to   develop an e - booking function that visitors can book product and service in advance on the   website to reduce queue management and inventory shortage for customer convenience .     Selection   We want to see real customers using this new feature . We selected a learning launch tool to   test this product comparison idea and prototype .     Application   We have our first launch of an e - booking function on the website and use Google Analytics to   track the number of e - booking page views , exit , average time on page , and journey flow to learn   how visitors use this function . We also use Google Tag Manager to see buttons that visitors   click . Our second launch requires optimization of text , page , flow , to serve user experience in   the best way .     Insight   What we have learned from the launch is that visitors were struggling at e - booking because text   and page design is complicated . We work with our UX team to optimize text , page and button   design to gain better website results .     Approach   Learning launch is an appropriate tool for this testing and learning . We need to review insight   from the learning launch thoroughly and improve website UI and UX with following rollout   timeline . 


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     We are responsible for an auto service center franchiser business website which provides   product and service information in detail . In this era , we need to drive online customers to offline   stores the most while compromising online sales that affect franchisee revenue . We plan to   develop an e - booking function that visitors can book product and service in advance on the   website to reduce queue management and inventory shortage for customer convenience .     Selection   We want to see real customers using this new feature . We selected a learning launch tool to   test this product comparison idea and prototype .     Application   We have our first launch of an e - booking function on the website and use Google Analytics to   track the number of e - booking page views , exit , average time on page , and journey flow to learn   how visitors use this function . We also use Google Tag Manager to see buttons that visitors   click . Our second launch requires optimization of text , page , flow , to serve user experience in   the best way .     Insight   What we have learned from the launch is that visitors were struggling at e - booking because text   and page design is complicated . We work with our UX team to optimize text , page and button   design to gain better website results .     Approach   Learning launch is an appropriate tool for this testing and learning . We need to review insight   from the learning launch thoroughly and improve website UI and UX with following rollout   timeline .
### Output: 