Assignment-   Learning Launch 

 Challenge 

 As a product manager for a company which makes chips for cordless phones , my challenge was to   improve the user experience in terms of voice quality and reception at the end of the usable range of   the phone . The target was to provide a better quality than our competition while reducing product   returns due to low perceived quality . The main challenge was to improve the quality , while controlling   the very sensitive cost structure of the product . All of this had to be done within the next product launch   cycle in 90 days . 

 Selection 

 The learning launch tool was used to select between 3 different ideas which have been suggested by the   engineers to improve the quality . This tool was selected since consumer voice quality experience is   extremely subjective and can not be predicted by engineering simulations and measurements . The early   launch tool was the best way to get early unbiased feedback without spending too much resources and   be able to “ fail early ” on nonproductive approaches which would be “ tabled ” . 

 Application 

 Early launch was done to a group of 20 students , who would serve as consumers . The consumers were   given 3 different prototype products utilizing different engineering solutions ( antenna design , noise   muting and advanced signal processing ) for assessment . The students were then asked what solution   sounded best to them .   This provided early subjective feedback without confirmation bias . 

 Based on the student feedback , we concluded that a combination of two of the ideas ( noise muting and   improved antenna ) seemed to provide a better solution .   As a result , repivoting was done , and a   prototype utilizing the combined solution was put to the test of the student group    to confirm that the   combined solution was superior to the individual solutions . 

 Following affirmation of the proposed solution , the solution was implemented in the next product   yielding greatly enhanced user experience , increased sales and reduced field returns . 

 Insight 

 Utilizing the learning launch tool enabled an accelerated learning cycle . This enabled reaching the   market with a suitable solution which was different from the singular solutions originally proposed by   the engineers . The small - scale launch facilitated very quick feedback and enabled repivoting of the   original concept and producing a product with better consumer experience while keeping budget and   schedule to a minimum . 

 Approach 

 It seems that the learning launch tool is the right solution for problems in which market response is   difficult to predict due to the subjective experience of each consumer . Alternative approaches could   have been launching the product in mass scale , without going thru the early limited launch approach .   This could have resulted in launching a suboptimal product which would provide less consumer   satisfaction . 


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: Assignment-   Learning Launch 

 Challenge 

 As a product manager for a company which makes chips for cordless phones , my challenge was to   improve the user experience in terms of voice quality and reception at the end of the usable range of   the phone . The target was to provide a better quality than our competition while reducing product   returns due to low perceived quality . The main challenge was to improve the quality , while controlling   the very sensitive cost structure of the product . All of this had to be done within the next product launch   cycle in 90 days . 

 Selection 

 The learning launch tool was used to select between 3 different ideas which have been suggested by the   engineers to improve the quality . This tool was selected since consumer voice quality experience is   extremely subjective and can not be predicted by engineering simulations and measurements . The early   launch tool was the best way to get early unbiased feedback without spending too much resources and   be able to “ fail early ” on nonproductive approaches which would be “ tabled ” . 

 Application 

 Early launch was done to a group of 20 students , who would serve as consumers . The consumers were   given 3 different prototype products utilizing different engineering solutions ( antenna design , noise   muting and advanced signal processing ) for assessment . The students were then asked what solution   sounded best to them .   This provided early subjective feedback without confirmation bias . 

 Based on the student feedback , we concluded that a combination of two of the ideas ( noise muting and   improved antenna ) seemed to provide a better solution .   As a result , repivoting was done , and a   prototype utilizing the combined solution was put to the test of the student group    to confirm that the   combined solution was superior to the individual solutions . 

 Following affirmation of the proposed solution , the solution was implemented in the next product   yielding greatly enhanced user experience , increased sales and reduced field returns . 

 Insight 

 Utilizing the learning launch tool enabled an accelerated learning cycle . This enabled reaching the   market with a suitable solution which was different from the singular solutions originally proposed by   the engineers . The small - scale launch facilitated very quick feedback and enabled repivoting of the   original concept and producing a product with better consumer experience while keeping budget and   schedule to a minimum . 

 Approach 

 It seems that the learning launch tool is the right solution for problems in which market response is   difficult to predict due to the subjective experience of each consumer . Alternative approaches could   have been launching the product in mass scale , without going thru the early limited launch approach .   This could have resulted in launching a suboptimal product which would provide less consumer   satisfaction .
### Output: 