Example Reflection – Learning Launch 

 Challenge & Selection 

 During the university years , I have a friend who has a special passion with the flower and plan ,   he has opened two Floral Shops for one year on the suburb of the city where we are living . 

 Two months ago , he came to me with a bad story about his Floral Shops . Although he adjusted   the price many times and also investigated on promotion programs but the customer return rate   is still extremely low ( 4.8 % of total customer ) , another disadvantage is “ lacking of market   research data ” makes his business getting worse after months . Our conversation then was   driven to the hypothesizes and ideas which noone can prove for its effectiveness in the reality 

 After gone through several design thinking tools , we finally decided to apply Learning Launch   Tool as an experiment meant to test for our ideas on a week after 

 Application 

 Get started with the shop auditing , we looked back to the customer ’s data and recorded videos   and found out a big surprise from the audience segment “ over 50 % of total customers are young   generation instead of old moms and housekeepers as our assumption ” . Also according to   videos , it seems the customers feel uncomfortable during the flower packing time at the shop , it   might be considered as a symptom of low customer return rate 

 Based on facts and figures , we scheduled a small meeting between me and my friend ( shop   owner ) to generate ideas that we think relevant to the customers . Throughout the meeting , we   decided to stick with 2 ideas what are able to be tested quickly by applying the Learning Launch   Tool 

 Within our network , we have connected to friends – relevant to our targeted audience , to ask for   helps , and fortunately 8 guys agreed to join our experiment 2 days after . 

 First learning launch : Applying the modern and young designs ( Flower Pack ) 

 We prepared 10 old designs and 10 modern designs are in different corners of the room to let   participants experimenting . Then after 3 observation hours , we started to collect feedbacks from   participates one by one 

 According to feedbacks , our actual result is “ most of participants prefer the meaning of flower   pack to modern and young design ” . Besides that , during the flower packing time it seems to   make participates feels un - comfortable and even tired . With this result , we temporary rejected   this idea and keep it in the future 

 Second learning launch : Serving free coffee , water and seats during flowers packing time 

 We re - structured a corner of the first shop a little bit by inserted a long table and chairs that   borrowed from a friend ’s house . During the flowers packing time the customer will be served   free coffee or pure water on the long table . Flowers around the table were picked carefully so   that its smell looks good and beautiful , so it helps the customer feels comfortable . 

 Wow , at the end of experiment we got many positive feedbacks such as : 

 “ It is good , I have time to play games during the waiting time ” 

 “ Enjoy coffee among good flowers ’ smell ” 

 We then decided to keep this mall corner for real customers in the short - term ( 7 days ) . And over   our expectation , there are 12 of 46 customers returned ( 26 % ) and there are 5 couples among of   them 

 Insight & Approach 

 The learning launch tool does not only help to test our ideas in the reality but also giving the   insights of the complex problem . With these insights , I and my friend ( shop owner ) confidently   expand our idea to all shops that promise a good change from the current customer return rate . 

 Next step , my friend is going to open a new shop in the urban , it is a good opportunity for us to   apply the learning launch tool for new market . Challenge but very interesting , we planned to ask   more people join the experiment and also trying with “ pivot ” step that we have not done on the   last applied 


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 

 Challenge & Selection 

 During the university years , I have a friend who has a special passion with the flower and plan ,   he has opened two Floral Shops for one year on the suburb of the city where we are living . 

 Two months ago , he came to me with a bad story about his Floral Shops . Although he adjusted   the price many times and also investigated on promotion programs but the customer return rate   is still extremely low ( 4.8 % of total customer ) , another disadvantage is “ lacking of market   research data ” makes his business getting worse after months . Our conversation then was   driven to the hypothesizes and ideas which noone can prove for its effectiveness in the reality 

 After gone through several design thinking tools , we finally decided to apply Learning Launch   Tool as an experiment meant to test for our ideas on a week after 

 Application 

 Get started with the shop auditing , we looked back to the customer ’s data and recorded videos   and found out a big surprise from the audience segment “ over 50 % of total customers are young   generation instead of old moms and housekeepers as our assumption ” . Also according to   videos , it seems the customers feel uncomfortable during the flower packing time at the shop , it   might be considered as a symptom of low customer return rate 

 Based on facts and figures , we scheduled a small meeting between me and my friend ( shop   owner ) to generate ideas that we think relevant to the customers . Throughout the meeting , we   decided to stick with 2 ideas what are able to be tested quickly by applying the Learning Launch   Tool 

 Within our network , we have connected to friends – relevant to our targeted audience , to ask for   helps , and fortunately 8 guys agreed to join our experiment 2 days after . 

 First learning launch : Applying the modern and young designs ( Flower Pack ) 

 We prepared 10 old designs and 10 modern designs are in different corners of the room to let   participants experimenting . Then after 3 observation hours , we started to collect feedbacks from   participates one by one 

 According to feedbacks , our actual result is “ most of participants prefer the meaning of flower   pack to modern and young design ” . Besides that , during the flower packing time it seems to   make participates feels un - comfortable and even tired . With this result , we temporary rejected   this idea and keep it in the future 

 Second learning launch : Serving free coffee , water and seats during flowers packing time 

 We re - structured a corner of the first shop a little bit by inserted a long table and chairs that   borrowed from a friend ’s house . During the flowers packing time the customer will be served   free coffee or pure water on the long table . Flowers around the table were picked carefully so   that its smell looks good and beautiful , so it helps the customer feels comfortable . 

 Wow , at the end of experiment we got many positive feedbacks such as : 

 “ It is good , I have time to play games during the waiting time ” 

 “ Enjoy coffee among good flowers ’ smell ” 

 We then decided to keep this mall corner for real customers in the short - term ( 7 days ) . And over   our expectation , there are 12 of 46 customers returned ( 26 % ) and there are 5 couples among of   them 

 Insight & Approach 

 The learning launch tool does not only help to test our ideas in the reality but also giving the   insights of the complex problem . With these insights , I and my friend ( shop owner ) confidently   expand our idea to all shops that promise a good change from the current customer return rate . 

 Next step , my friend is going to open a new shop in the urban , it is a good opportunity for us to   apply the learning launch tool for new market . Challenge but very interesting , we planned to ask   more people join the experiment and also trying with “ pivot ” step that we have not done on the   last applied
### Output: 