Learning Launch 

 Challenge 

 I am currently working within the Product Team of an e - Commerce start - up , with a drinks   subscription business model . My job is to identify insights from our data , discover current   problems that our company might be facing and elaborate a strategy to potentially solve those   problems . 

 Right now we have a really important challenge : to improve our Average Order Value ( amount   of money that each customer spends on an order ) . The Project includes two employees from   the Product Team , one from Marketing , one from Pricing & Assortment and the CEO of the   company . The main goal is to make our consumers spend more money in our website . 

 Selection 

 We chose the Learning Launch tool because , while brainstorming , we came up with really   great ideas but they were all based in assumptions that had not been tested before . This was a   huge question mark for us , because if we decided to implement an expensive solution based   on assumptions that were not tested , we were setting ourselves up for failure . We decided to   take our assumptions , build hypothesis and design different tests that would allow us to   validate them or iterate on them . 

 Application 

 First of all , we started by identifying all customer problems that might be causing our Average   Order Value to decrease : we found out that people were only looking for promotions and   discounts , they were not interested in our value proposition ( free shipping , big assortment ,   frozen prices ) . 

 For this , we started by talking to customers that had one order and then cancelled their   subscription ( ocasional buyers ) and customers that expressed in surveys that were looking for   other products in our assortment . Once we analyzed the qualitative and quantitative data , we   built our hypothesis . 

 Our hypothesis was that people were not spending money on our business because we had   communication issues , and we were implementing all our marketing campaigns based on one   product of our assortment because it was the one that brought most of our customers . The   thing is that these customers were only interested in that one attractive product , and they   were not profitable consumers for us : if we make an e - Mail campaign showing our consumers   that they can solve more than one need with our service they Will increase their Average   Order Value . 

 We designed the test and started to contact current consumers with communications that   showed our assortment . 

 We learned that consumers were not shifting consumption : the test did not validate our   hypothesis , so the team got back together again and we started to brainstorm about what   could we do . 

 Insights & Approach 

 By applying this tool we saved a lot of time and money : if we decided to implement these   communications at a larger scale , we would have had to spend a loto f marketing resources to   créate the communications and them analyze all the feedback received . 

 For that , we would have find out a Little too late that our customers were not willing to   increase their Average Order Value : we found out on the second time that we brainstormed   and used Learning Launch Tool that customers were willing to spend more if we solved a   bigger need , not just drinks – for example , if we added groceries products to our assortment . 

 I think that Learning Launch Tool is really valuable because it allows team to bring their   oppinions to the table in an organized way , and it allows brainstorming without having the   employees feel frustrated or overheard , or maybe shy because they think their ideas are not   Good enough . 


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 

 Challenge 

 I am currently working within the Product Team of an e - Commerce start - up , with a drinks   subscription business model . My job is to identify insights from our data , discover current   problems that our company might be facing and elaborate a strategy to potentially solve those   problems . 

 Right now we have a really important challenge : to improve our Average Order Value ( amount   of money that each customer spends on an order ) . The Project includes two employees from   the Product Team , one from Marketing , one from Pricing & Assortment and the CEO of the   company . The main goal is to make our consumers spend more money in our website . 

 Selection 

 We chose the Learning Launch tool because , while brainstorming , we came up with really   great ideas but they were all based in assumptions that had not been tested before . This was a   huge question mark for us , because if we decided to implement an expensive solution based   on assumptions that were not tested , we were setting ourselves up for failure . We decided to   take our assumptions , build hypothesis and design different tests that would allow us to   validate them or iterate on them . 

 Application 

 First of all , we started by identifying all customer problems that might be causing our Average   Order Value to decrease : we found out that people were only looking for promotions and   discounts , they were not interested in our value proposition ( free shipping , big assortment ,   frozen prices ) . 

 For this , we started by talking to customers that had one order and then cancelled their   subscription ( ocasional buyers ) and customers that expressed in surveys that were looking for   other products in our assortment . Once we analyzed the qualitative and quantitative data , we   built our hypothesis . 

 Our hypothesis was that people were not spending money on our business because we had   communication issues , and we were implementing all our marketing campaigns based on one   product of our assortment because it was the one that brought most of our customers . The   thing is that these customers were only interested in that one attractive product , and they   were not profitable consumers for us : if we make an e - Mail campaign showing our consumers   that they can solve more than one need with our service they Will increase their Average   Order Value . 

 We designed the test and started to contact current consumers with communications that   showed our assortment . 

 We learned that consumers were not shifting consumption : the test did not validate our   hypothesis , so the team got back together again and we started to brainstorm about what   could we do . 

 Insights & Approach 

 By applying this tool we saved a lot of time and money : if we decided to implement these   communications at a larger scale , we would have had to spend a loto f marketing resources to   créate the communications and them analyze all the feedback received . 

 For that , we would have find out a Little too late that our customers were not willing to   increase their Average Order Value : we found out on the second time that we brainstormed   and used Learning Launch Tool that customers were willing to spend more if we solved a   bigger need , not just drinks – for example , if we added groceries products to our assortment . 

 I think that Learning Launch Tool is really valuable because it allows team to bring their   oppinions to the table in an organized way , and it allows brainstorming without having the   employees feel frustrated or overheard , or maybe shy because they think their ideas are not   Good enough .
### Output: 