Example Reflection – Learning Launch    ( small remark : I am not a native speaking English person , so please forgive wrong grammar and maybe   sometimes wrong words chosen ) 

 I was product owner within marketing for the cable access product . This product is about 25 % of full   company revenue and the major driver for company profit . As the basic cable access is a non- innovative product the challenge is to reach any kind of profit growth substantial for the company .   The product itself got sold over two ways . A direct sale to single family houses and a kind of B2B ( to   end customer ) sale to bigger apartment blocks to the landlord who then further charge the tenant   over tenant bill .   The core project scope is to drive price increase with lowest reachable customer churn due to the   increase by maximize the company revenue . 

 Selection 

 We have done many increases before this challenging one , so we experienced many tools from HIPO   ( highest paid Opinion ) , over customer and landlord interview rounds how to do best up to engaging of   so - called communication experts . At the end we decided this time to go in a learning launch setup with   a surprising output . 

 Application 

 In the first learning launch we internally marking tried to gather all relevant information ’s we are   aware of and tried to visualize it on a big board . We grouped the information and we tried to build a   first communication idea for the direct end customer explaining him why he must pay more .   We tested this approach with our internal call agents normally getting the angry customer calls and the   feedback was very bad . 

 For the second learning launch we changed the setup of attended people . We took additional a   moderator , call agents , friendly customers and landlords in a bigger round .    The moderator structured the information gathering of all the different viewpoints in a very fast and   accurate way . The total compiled picture was the basis for further discussions and decisions . 

 Insight 

 By using the learning launch in this specific environment , we identified very quickly where we had   wrong assumptions of customer behavior . Additional we identified that a core reason of churn is not   the price increase itself , it is the “ try to explain ” why a company wants to get more money out of   customer pockets .   This got obvious when landlord explained that our price increase on tenant bills   never was a discussion worth for the tenant . Compare to the rent it was nothing , additional even the   timing could have been 6 months shifted as tenant bills only got shown once a year .     Additional our direct customer ( single family house ) explains us , that this yearly bill rarely got   compared to the past paid amount , so even on his side we learned that there was no need for   justification 

 Approach 

 Given that we did already lunch several price increases with big communications campaigns , we   changed our approach fully to a reduced communication only serving the need of legal obligations .   This was done by a one liner on the customer bill telling , we increased the price by xy . 

 The result was lowest churn ever and a blueprint for the future , without the learning launch and the   direct feedback of customers we would have never even thought of this radical minimal approach . 


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: Example Reflection – Learning Launch    ( small remark : I am not a native speaking English person , so please forgive wrong grammar and maybe   sometimes wrong words chosen ) 

 I was product owner within marketing for the cable access product . This product is about 25 % of full   company revenue and the major driver for company profit . As the basic cable access is a non- innovative product the challenge is to reach any kind of profit growth substantial for the company .   The product itself got sold over two ways . A direct sale to single family houses and a kind of B2B ( to   end customer ) sale to bigger apartment blocks to the landlord who then further charge the tenant   over tenant bill .   The core project scope is to drive price increase with lowest reachable customer churn due to the   increase by maximize the company revenue . 

 Selection 

 We have done many increases before this challenging one , so we experienced many tools from HIPO   ( highest paid Opinion ) , over customer and landlord interview rounds how to do best up to engaging of   so - called communication experts . At the end we decided this time to go in a learning launch setup with   a surprising output . 

 Application 

 In the first learning launch we internally marking tried to gather all relevant information ’s we are   aware of and tried to visualize it on a big board . We grouped the information and we tried to build a   first communication idea for the direct end customer explaining him why he must pay more .   We tested this approach with our internal call agents normally getting the angry customer calls and the   feedback was very bad . 

 For the second learning launch we changed the setup of attended people . We took additional a   moderator , call agents , friendly customers and landlords in a bigger round .    The moderator structured the information gathering of all the different viewpoints in a very fast and   accurate way . The total compiled picture was the basis for further discussions and decisions . 

 Insight 

 By using the learning launch in this specific environment , we identified very quickly where we had   wrong assumptions of customer behavior . Additional we identified that a core reason of churn is not   the price increase itself , it is the “ try to explain ” why a company wants to get more money out of   customer pockets .   This got obvious when landlord explained that our price increase on tenant bills   never was a discussion worth for the tenant . Compare to the rent it was nothing , additional even the   timing could have been 6 months shifted as tenant bills only got shown once a year .     Additional our direct customer ( single family house ) explains us , that this yearly bill rarely got   compared to the past paid amount , so even on his side we learned that there was no need for   justification 

 Approach 

 Given that we did already lunch several price increases with big communications campaigns , we   changed our approach fully to a reduced communication only serving the need of legal obligations .   This was done by a one liner on the customer bill telling , we increased the price by xy . 

 The result was lowest churn ever and a blueprint for the future , without the learning launch and the   direct feedback of customers we would have never even thought of this radical minimal approach .
### Output: 