LeARning LAunch 

 A learning launch is an experiment conducted in the marketplace quickly and inexpensively . It forms a bridge   between customer co - creation and commercial rollout . 

 1 . Set tight boundaries .   Since this is a learning launch and   not a pilot , it is important to plan   for it to end . Set concrete limits   on key variables , such as time ,   geography , number of customers ,   features , and partner firms . 

 2 .   Design with a sharp focus    on key assumptions .     Review the key assumptions that   you identified . For those that you   indicated will be tested in the   market , keep in mind the following   when planning your in - market   experiment : 

 a.   See to it that the prototype   reflects the key assumptions   you need    to test . 

 b.   Translate the assumptions   you plan to test into   specific metrics . 

 c.   Be explicit about how you   will generate the data    you need , especially   behavioral data . 

 d.   Be explicit about the search   for disconfirming data . 

 e.   Match the budget to an   affordable loss calculation . 

 3 .   Build a team that is both   disciplined and adaptive .    The composition of the team   makes a difference . Yes , you   want the passionate supporters   of growth and innovation on   the squad . But having a few   skeptics around will ensure that   you are not designing a test to   give you the answers you want .   Also , someone with a financial   perspective is valuable — and   project management skills are   essential . 

 4 .   Work in fast feedback cycles .   The learning launch is when   your growth project first makes   contact with reality . Expect   surprises and be prepared to   respond quickly . 

 5 .   make it feel real .   A successful learning launch must   make it easy for all participants to   suspend their disbelief . It needs to   feel real to customers , partners ,   and your internal team . Everyone   has something at stake . If it feels   like a game or make - believe , then   the behavioral data it generates   are suspect . 

 6 .   Have back - up plans    for everything .   As the old adage says , if it can   go wrong , it will go wrong . Be   prepared for the worst - case   scenario . Having a process for   handling dissent , resolving   conflicts constructively ,   and adapting on the fly is a   great   asset to any in - market   experiment . 

 priNCipLeS oF a LearNiNg LauNCH 

 What Works ? 


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 

 A learning launch is an experiment conducted in the marketplace quickly and inexpensively . It forms a bridge   between customer co - creation and commercial rollout . 

 1 . Set tight boundaries .   Since this is a learning launch and   not a pilot , it is important to plan   for it to end . Set concrete limits   on key variables , such as time ,   geography , number of customers ,   features , and partner firms . 

 2 .   Design with a sharp focus    on key assumptions .     Review the key assumptions that   you identified . For those that you   indicated will be tested in the   market , keep in mind the following   when planning your in - market   experiment : 

 a.   See to it that the prototype   reflects the key assumptions   you need    to test . 

 b.   Translate the assumptions   you plan to test into   specific metrics . 

 c.   Be explicit about how you   will generate the data    you need , especially   behavioral data . 

 d.   Be explicit about the search   for disconfirming data . 

 e.   Match the budget to an   affordable loss calculation . 

 3 .   Build a team that is both   disciplined and adaptive .    The composition of the team   makes a difference . Yes , you   want the passionate supporters   of growth and innovation on   the squad . But having a few   skeptics around will ensure that   you are not designing a test to   give you the answers you want .   Also , someone with a financial   perspective is valuable — and   project management skills are   essential . 

 4 .   Work in fast feedback cycles .   The learning launch is when   your growth project first makes   contact with reality . Expect   surprises and be prepared to   respond quickly . 

 5 .   make it feel real .   A successful learning launch must   make it easy for all participants to   suspend their disbelief . It needs to   feel real to customers , partners ,   and your internal team . Everyone   has something at stake . If it feels   like a game or make - believe , then   the behavioral data it generates   are suspect . 

 6 .   Have back - up plans    for everything .   As the old adage says , if it can   go wrong , it will go wrong . Be   prepared for the worst - case   scenario . Having a process for   handling dissent , resolving   conflicts constructively ,   and adapting on the fly is a   great   asset to any in - market   experiment . 

 priNCipLeS oF a LearNiNg LauNCH 

 What Works ?
### Output: 