Design Tool – Learning Launch 

 Challenge & Selection 

 My company provides services to the Housing Market , working in the sale of    and assisting brokers . Our challenge was to help a broker that did not have the   necessary resources to rent furniture to be used in the demonstration of a   house . A survey was carried out to identify what would be needed and what   would attract the attention of customers present at the open house . The   furniture would help to give customers a more vivid impression of the house ,   this way they would imagine themselves living there . We analyzed this data and   thought it would be interesting if the furniture could also be purchased by   visitors . We decided to talk to stores , to propose a partnership , where they   would put the furniture on display for sale at the open house . In this case , the   tool used was the learning launch , to identify if the people , even not buying the   house , would be interested in the furniture . 

 Application 

 For our first launch , we talked to several companies showing our proposal , but   they were afraid , because in the open house , not everyone is careful with the   furniture . So , we proposed that two or three pieces of furniture were made   available , just as a test , to see if it would attract attention and the customers   would buy the products . After getting on touch with the company , we put the   furniture on the living room for display , the rest of the house was decorated   with rented furniture . The company supplied carpet , chandeliers , coffee table   and paintings , but nobody ended up buying it . After the unsuccessful try , we   tried to sell the same pieces but this time in another region and the sale was a   success . When we crossed the data , we realized that the products were too   expensive for the public of the first open house and the style did not fit its   public , causing the difference between the open houses . 

 In the second launch , we returned to the first house with different furniture .   We chose furniture that would be essential for the home , such as a cabinet and   table , and moved from the living room to the kitchen . The adherence was much   bigger , once some pieces would be necessary anyway to live in the house . We   collected the data to return to the office and used mind mapping to compare   different regions and different customers . 

 Insight & Approach 

 As a result of the application of the learning launch , we were able to have a   better view of how to dispose the furniture during an open house , besides to   understand better the profile of our customers . Now it will be necessary to   analyze the results and organize the distribution of the furniture . On the other   hand , our broker who had some troubles renting furniture , thanks to the first   learning launch , got a commission that helped in her case . 

 In a new learning launch application , I ’ll go deeper first using personas tool .   With the course , I realized that is possible to do a better research about the   types of customers and their desires . In my case , it helped to identify that there   were different customer profiles and choose which furniture to put on display . 


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: Design Tool – Learning Launch 

 Challenge & Selection 

 My company provides services to the Housing Market , working in the sale of    and assisting brokers . Our challenge was to help a broker that did not have the   necessary resources to rent furniture to be used in the demonstration of a   house . A survey was carried out to identify what would be needed and what   would attract the attention of customers present at the open house . The   furniture would help to give customers a more vivid impression of the house ,   this way they would imagine themselves living there . We analyzed this data and   thought it would be interesting if the furniture could also be purchased by   visitors . We decided to talk to stores , to propose a partnership , where they   would put the furniture on display for sale at the open house . In this case , the   tool used was the learning launch , to identify if the people , even not buying the   house , would be interested in the furniture . 

 Application 

 For our first launch , we talked to several companies showing our proposal , but   they were afraid , because in the open house , not everyone is careful with the   furniture . So , we proposed that two or three pieces of furniture were made   available , just as a test , to see if it would attract attention and the customers   would buy the products . After getting on touch with the company , we put the   furniture on the living room for display , the rest of the house was decorated   with rented furniture . The company supplied carpet , chandeliers , coffee table   and paintings , but nobody ended up buying it . After the unsuccessful try , we   tried to sell the same pieces but this time in another region and the sale was a   success . When we crossed the data , we realized that the products were too   expensive for the public of the first open house and the style did not fit its   public , causing the difference between the open houses . 

 In the second launch , we returned to the first house with different furniture .   We chose furniture that would be essential for the home , such as a cabinet and   table , and moved from the living room to the kitchen . The adherence was much   bigger , once some pieces would be necessary anyway to live in the house . We   collected the data to return to the office and used mind mapping to compare   different regions and different customers . 

 Insight & Approach 

 As a result of the application of the learning launch , we were able to have a   better view of how to dispose the furniture during an open house , besides to   understand better the profile of our customers . Now it will be necessary to   analyze the results and organize the distribution of the furniture . On the other   hand , our broker who had some troubles renting furniture , thanks to the first   learning launch , got a commission that helped in her case . 

 In a new learning launch application , I ’ll go deeper first using personas tool .   With the course , I realized that is possible to do a better research about the   types of customers and their desires . In my case , it helped to identify that there   were different customer profiles and choose which furniture to put on display .
### Output: 