Where do learning launches fit strategically ? Companies should undertake a portfolio   of growth initiatives and manage that portfolio across business units based on   timelines designed to produce new sources of revenue , which can be scaled across a   large geographical area or customer base . The purpose of growth initiatives is to   create new S Curves of income to replace existing S Curves as their useful lives peak .   In order to do this , companies need to generate growth ideas and test them in a   disciplined manner to determine which ideas warrant investment . 

 Learning launches are a methodology for testing ideas to determine which qualify as   business opportunities . Because they should occur quickly and be low cost , learning   launches have also been described as “ placing small bets fast . ” Unfortunately , some   executives have interpreted that phrase as advocating the pursuit of small revenue   opportunities , which is not the case . Most good growth companies are looking for   growth opportunities to be scaled and result in needle - movers . “ Small bets fast ” is a   testing procedure , however , and not a strategy decision . A learning launch is a   business - world application of the scientific method ; it is a way of thinking that relies   on generating and testing hypotheses . It starts with hypothesis - generating by asking   a what - if question , which allows you to identify a new possibility to act on . That   possibility is your hypothesis — basically an educated guess about something   you think is likely to be a good idea . That ’s the creative part . Then to test your   hypothesis , you specify what scientists call the boundary conditions . In other words ,   you ask : Under what conditions would that hypothesis , in fact , be a good idea ? Or —   worded differently — what would need to be true in order for my idea to be a good   one ? So , you bring to the surface the assumptions that lie under your hypothesis , and   then you go find the appropriate data with which to test them . That is the analytic   part . If it turns out that your assumptions are not true , and your hypothesis   is disproved , then you should take the new data and go back and use it to restate the   hypothesis better . And then you test that new and improved hypothesis . It is an   iterative process that you cycle through continuously , learning something new each   time that allows you to develop a better hypothesis for the next pass . The process is   what we refer to as intelligently opportunistic . In other words , it lets you rigorously   examine your current best guess , but not in a way that forces you to accept or reject   it . It instead allows new and previously unanticipated improvements to your idea to   emerge . This is learning as you go . This hypothesis - driven approach is based on the   idea of learning , rather than knowing . As a result , it is particularly useful under   conditions of uncertainty in which we do n’t know as much as we ’d like to . Does all of   this sound familiar ? Of course it does — a new business idea is , in fact , just a   hypothesis . And a learning launch is just a process for testing and improving that   hypothesis . 

 That ’s the rub . Hypotheses about the future are a lot trickier to deal with than those   about the present ; in fact , they can never really be proven to be true . As a strategist or   a growth leader , the best you can do is to marshal compelling evidence that supports   your argument that your view or your “ story ” about the future is likely to be worth   pursuing . It has to be testable with today ’s data . 


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: Where do learning launches fit strategically ? Companies should undertake a portfolio   of growth initiatives and manage that portfolio across business units based on   timelines designed to produce new sources of revenue , which can be scaled across a   large geographical area or customer base . The purpose of growth initiatives is to   create new S Curves of income to replace existing S Curves as their useful lives peak .   In order to do this , companies need to generate growth ideas and test them in a   disciplined manner to determine which ideas warrant investment . 

 Learning launches are a methodology for testing ideas to determine which qualify as   business opportunities . Because they should occur quickly and be low cost , learning   launches have also been described as “ placing small bets fast . ” Unfortunately , some   executives have interpreted that phrase as advocating the pursuit of small revenue   opportunities , which is not the case . Most good growth companies are looking for   growth opportunities to be scaled and result in needle - movers . “ Small bets fast ” is a   testing procedure , however , and not a strategy decision . A learning launch is a   business - world application of the scientific method ; it is a way of thinking that relies   on generating and testing hypotheses . It starts with hypothesis - generating by asking   a what - if question , which allows you to identify a new possibility to act on . That   possibility is your hypothesis — basically an educated guess about something   you think is likely to be a good idea . That ’s the creative part . Then to test your   hypothesis , you specify what scientists call the boundary conditions . In other words ,   you ask : Under what conditions would that hypothesis , in fact , be a good idea ? Or —   worded differently — what would need to be true in order for my idea to be a good   one ? So , you bring to the surface the assumptions that lie under your hypothesis , and   then you go find the appropriate data with which to test them . That is the analytic   part . If it turns out that your assumptions are not true , and your hypothesis   is disproved , then you should take the new data and go back and use it to restate the   hypothesis better . And then you test that new and improved hypothesis . It is an   iterative process that you cycle through continuously , learning something new each   time that allows you to develop a better hypothesis for the next pass . The process is   what we refer to as intelligently opportunistic . In other words , it lets you rigorously   examine your current best guess , but not in a way that forces you to accept or reject   it . It instead allows new and previously unanticipated improvements to your idea to   emerge . This is learning as you go . This hypothesis - driven approach is based on the   idea of learning , rather than knowing . As a result , it is particularly useful under   conditions of uncertainty in which we do n’t know as much as we ’d like to . Does all of   this sound familiar ? Of course it does — a new business idea is , in fact , just a   hypothesis . And a learning launch is just a process for testing and improving that   hypothesis . 

 That ’s the rub . Hypotheses about the future are a lot trickier to deal with than those   about the present ; in fact , they can never really be proven to be true . As a strategist or   a growth leader , the best you can do is to marshal compelling evidence that supports   your argument that your view or your “ story ” about the future is likely to be worth   pursuing . It has to be testable with today ’s data .
### Output: 