Learning Launch 

 Challenge 

 I wanted to solve the tutoring service problem in my region . Traditionally , if a tutor wants to   provide the service , he / she will find an tutoring agent company to connect him / her to the parents   who are finding tutors for their children . This is a good way but the agent charges the tutor very   high ( 30 - 40 % of the first month salary ) . I want to find another way to help tutors because most   tutors in my region are students and they do n’t have much money . 

 Selection 

 I discussed with dozens of tutors and parents to mapping their journey . There are a lot of   insights from both sides . Then I came up with several ideas how to tackle this problem . But as in   the lecture says , we have to go to find the truth . And the only way to do that is to make   experiment with out customers . Therefore , I chose one of the idea to make an MVP . I want to   create a platform to connect parents and tutors with minimal cost . Because I do n’t have much   time and money , so I choose to test only 1 MVP . 

 Application 

 First , I build up the visual prototype via Figma . This help me to create the appearance of the   application and from this I can hire developers to build the MVP . 

 This MVP mainly to test the assumption that parents will fall for new technologies and they   willing to choose the tutor by themselves . I wanted to learn fast and fail cheap exactly like what   mentioned in the lecture . 

 Lecturer says the product is created to figure out whether it is a better alternative serving the   need of the customers . In my case , it is to test fast and cheap whether an online platform can be   an alternative for the traditional agent service . 

 After finish the MVP , I rolled out the product , run marketing campaign for a small group of tutors   and parents . Gathering insights but unluckily , I learn that this protype did not work . Hence , I stop   and keep in the “ trash can ” 

 Insights 

 During the application of Learn Launch , I get a lot of insights . At beginning , we usually fall for   our own confirmation . I was always thinking that my ideas gon na work for my customers . But   when I rolled out , I start to realize that I myself created a lot of bias . Hence , I start to pivot during   the programing period of the MVP . 

 Moreover , I also receive bias from my customers . They say the Figma prototype is great , it ’s   gon na work , etc . But they themselves also bias . Learning is that what they say , what they think ,   what they feel , and what they do are different . We should notice that during the brainstorming   and journey mapping too . 

 Approach 

 If I approach this again , I suggest to do it quicker . I need too much time to do the experiment . I   realize that for any MVP , or features , we should aim to rollout at every 2 weeks as maximum .   The point is to learn fast or fail cheap . Fast is 2 weeks . Fast is not several months . 


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 wanted to solve the tutoring service problem in my region . Traditionally , if a tutor wants to   provide the service , he / she will find an tutoring agent company to connect him / her to the parents   who are finding tutors for their children . This is a good way but the agent charges the tutor very   high ( 30 - 40 % of the first month salary ) . I want to find another way to help tutors because most   tutors in my region are students and they do n’t have much money . 

 Selection 

 I discussed with dozens of tutors and parents to mapping their journey . There are a lot of   insights from both sides . Then I came up with several ideas how to tackle this problem . But as in   the lecture says , we have to go to find the truth . And the only way to do that is to make   experiment with out customers . Therefore , I chose one of the idea to make an MVP . I want to   create a platform to connect parents and tutors with minimal cost . Because I do n’t have much   time and money , so I choose to test only 1 MVP . 

 Application 

 First , I build up the visual prototype via Figma . This help me to create the appearance of the   application and from this I can hire developers to build the MVP . 

 This MVP mainly to test the assumption that parents will fall for new technologies and they   willing to choose the tutor by themselves . I wanted to learn fast and fail cheap exactly like what   mentioned in the lecture . 

 Lecturer says the product is created to figure out whether it is a better alternative serving the   need of the customers . In my case , it is to test fast and cheap whether an online platform can be   an alternative for the traditional agent service . 

 After finish the MVP , I rolled out the product , run marketing campaign for a small group of tutors   and parents . Gathering insights but unluckily , I learn that this protype did not work . Hence , I stop   and keep in the “ trash can ” 

 Insights 

 During the application of Learn Launch , I get a lot of insights . At beginning , we usually fall for   our own confirmation . I was always thinking that my ideas gon na work for my customers . But   when I rolled out , I start to realize that I myself created a lot of bias . Hence , I start to pivot during   the programing period of the MVP . 

 Moreover , I also receive bias from my customers . They say the Figma prototype is great , it ’s   gon na work , etc . But they themselves also bias . Learning is that what they say , what they think ,   what they feel , and what they do are different . We should notice that during the brainstorming   and journey mapping too . 

 Approach 

 If I approach this again , I suggest to do it quicker . I need too much time to do the experiment . I   realize that for any MVP , or features , we should aim to rollout at every 2 weeks as maximum .   The point is to learn fast or fail cheap . Fast is 2 weeks . Fast is not several months .
### Output: 