From A / B testing to Learning Launch 

 Challenge 

 As the main software engineer of a small startup with limited time and resources , my biggest   challenge is to create and improve the right features of our product , a social app , in order to increase   the interaction between the users and the recommendation of the app to friends , in other words ,   release what users will love and engage with . The product development team is very small , just   three developers , as well as one designer , so there is no enough resources to conduct long user   researches . We need to be fast and assertive with our releases . 

 Selection 

 We are already experimenting some practices to speed up our releases and improve the results   ( engagement and sharing ) , the last one was A / B testing , but with some trade - offs , like a long time to   prepare multiple tests and to verify multiple results .   After some time considering many agile   methods to our prototyping tests and knowing Design Think , the learning launch tool makes sense   to us because it is an experiment meant to quickly test an idea and prototype , focusing in one idea ,   not two or more . 

 Application 

 We have a lot of ideas to improve our metrics in our product backlog . These ideas are ordered in   accordance to some assumptions , like users reviews and some observations . Now , before to create   multiple features to A / B testing ,    we take one idea from our product backlog and create a fast mock   to show that feature to a vast number of users to get their reviews . If they show us enthusiasm , we   go to the next level and we create a new release of the product with that feature . With A / B testing   we spend a couple of days to test two ideas , now we can test many ideas in a couple of days and the   result is very assertive , we improve our metrics with less resources . 

 Insight 

 The most important thing to us by applying the learning launch tool and focusing in one idea was   that we removed the A / B testing 's comparator bias and our mindset was guided to think about that   idea in a broader way .   When everyone in the team is concentrated in one idea , we can have a better   synergy and collaboration , we really work as a team and we bring everyone to the problem . The   focus is one idea , not a war to between ideas . The result is the improvement of the metrics that   really matter , the user   engagement and sharing . 

 Approach 

 We switch from A / B testing to the launch and learning tool because this learning launch tool   perfectly meets our needs in relation to the time and results it provides , besides that , we gained a lot   of knowledge and insights when we have all members of the team focused in one idea . We have   used this tool for some iterations and have n't made any modiﬁcations to the workﬂow since . 


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: From A / B testing to Learning Launch 

 Challenge 

 As the main software engineer of a small startup with limited time and resources , my biggest   challenge is to create and improve the right features of our product , a social app , in order to increase   the interaction between the users and the recommendation of the app to friends , in other words ,   release what users will love and engage with . The product development team is very small , just   three developers , as well as one designer , so there is no enough resources to conduct long user   researches . We need to be fast and assertive with our releases . 

 Selection 

 We are already experimenting some practices to speed up our releases and improve the results   ( engagement and sharing ) , the last one was A / B testing , but with some trade - offs , like a long time to   prepare multiple tests and to verify multiple results .   After some time considering many agile   methods to our prototyping tests and knowing Design Think , the learning launch tool makes sense   to us because it is an experiment meant to quickly test an idea and prototype , focusing in one idea ,   not two or more . 

 Application 

 We have a lot of ideas to improve our metrics in our product backlog . These ideas are ordered in   accordance to some assumptions , like users reviews and some observations . Now , before to create   multiple features to A / B testing ,    we take one idea from our product backlog and create a fast mock   to show that feature to a vast number of users to get their reviews . If they show us enthusiasm , we   go to the next level and we create a new release of the product with that feature . With A / B testing   we spend a couple of days to test two ideas , now we can test many ideas in a couple of days and the   result is very assertive , we improve our metrics with less resources . 

 Insight 

 The most important thing to us by applying the learning launch tool and focusing in one idea was   that we removed the A / B testing 's comparator bias and our mindset was guided to think about that   idea in a broader way .   When everyone in the team is concentrated in one idea , we can have a better   synergy and collaboration , we really work as a team and we bring everyone to the problem . The   focus is one idea , not a war to between ideas . The result is the improvement of the metrics that   really matter , the user   engagement and sharing . 

 Approach 

 We switch from A / B testing to the launch and learning tool because this learning launch tool   perfectly meets our needs in relation to the time and results it provides , besides that , we gained a lot   of knowledge and insights when we have all members of the team focused in one idea . We have   used this tool for some iterations and have n't made any modiﬁcations to the workﬂow since .
### Output: 