Reflection – learning launch tool 

 Challenge 

 As a member of the management team organizing one branch of a small convenience store   and we have a mission to increase sales in food and fresh ingredients . So , we see   opportunities and having an idea in the long weekend that people love to cook and having   activity with the family in their home , but the pain point is there is a few restaurants around   here delivery food in long weekend . So , our idea is to create a set of BBQ ingredients and   free delivery in the 5 km range around the store because we believe that customers will   satisfy with comfortable to order by staying home and do not need to go out . This idea is   popping up by no one knows or has experienced that will work with our customer . So , the   challenge is how do we know the truth that customer is buying our idea or how to get the   data that confirms our hypothesis . 

 Selection 

 We selected the learning launch tool because we want to make testing with our real   customers to get feedback and use the data to create a strategy to store moreover , our team   is new in this area , so using the learning launch tool is our choice to learn customer behavior   around the store . 

 Application 

 We start to use this tool by setting our hypothesis . our idea is the customer around the store   need the food delivery in the long weekend and staying home with their family . So , we are   thinking if we set up the fresh ingredients in our store into a BBQ set and let them cook with   their family and create the promotion free delivery within 5 km range around the store to   study how customer responding . 

 Next , we set the execution plan about selecting the item in fresh meat , vegetable , some   sauce , etc . We create 3 sets of BBQs ready to cook , make a valuable price , free delivery in   20 minutes , set the timeline for 5 days , and create a Facebook ad to reach the online   customer and build offline ad in store for the walk - in customer before the campaign starts   around 1 week . We also try to keep every step cheap and quick . We start testing in the long   weekend by setting responsibility for people in the team such as order receiving , preparing   stuff , payment , and delivery . 

 Insight 

 The result of this testing is we fail . We found that in the 5 days of the promotion , there is just   2 sets / day happen which is proved that this campaign is does n't work for some reason . So ,   we ask the customer about their decision to find the insight and found the truth that people   satisfy with ordering , purchasing , and delivery but the point is they want to choose by their   own choice not the set in a specific item . This is what we need to think again to pivot or put   this idea to the trash can , but we already know the factor to figure out and we can shape the   direction to the right way . 

 The lesson we have learned from this tool is we never know the truth about customer   decisions with our idea until we are testing in the real world . Without this tool , we might   spend a lot of money and wasting time . This is the best way to find a solution and to sharpen   our idea to solve the customer 's pain point and get the real customer need . Our test has   shown us the result and we found the factor that impacts the big picture and makes   customers not buying the idea . So , we need to clarify and define the problem into the right   factor . 

 Approach 

 The learning launch tool is very effective in this test . So next time I would use these technics   because it helps us save time , save cost , and lead us in the right direction within the   beginning part not too late to fix it . We also study and understanding customer behavior   through this tool and using design thinking is remind me to start with the customer . 


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: Reflection – learning launch tool 

 Challenge 

 As a member of the management team organizing one branch of a small convenience store   and we have a mission to increase sales in food and fresh ingredients . So , we see   opportunities and having an idea in the long weekend that people love to cook and having   activity with the family in their home , but the pain point is there is a few restaurants around   here delivery food in long weekend . So , our idea is to create a set of BBQ ingredients and   free delivery in the 5 km range around the store because we believe that customers will   satisfy with comfortable to order by staying home and do not need to go out . This idea is   popping up by no one knows or has experienced that will work with our customer . So , the   challenge is how do we know the truth that customer is buying our idea or how to get the   data that confirms our hypothesis . 

 Selection 

 We selected the learning launch tool because we want to make testing with our real   customers to get feedback and use the data to create a strategy to store moreover , our team   is new in this area , so using the learning launch tool is our choice to learn customer behavior   around the store . 

 Application 

 We start to use this tool by setting our hypothesis . our idea is the customer around the store   need the food delivery in the long weekend and staying home with their family . So , we are   thinking if we set up the fresh ingredients in our store into a BBQ set and let them cook with   their family and create the promotion free delivery within 5 km range around the store to   study how customer responding . 

 Next , we set the execution plan about selecting the item in fresh meat , vegetable , some   sauce , etc . We create 3 sets of BBQs ready to cook , make a valuable price , free delivery in   20 minutes , set the timeline for 5 days , and create a Facebook ad to reach the online   customer and build offline ad in store for the walk - in customer before the campaign starts   around 1 week . We also try to keep every step cheap and quick . We start testing in the long   weekend by setting responsibility for people in the team such as order receiving , preparing   stuff , payment , and delivery . 

 Insight 

 The result of this testing is we fail . We found that in the 5 days of the promotion , there is just   2 sets / day happen which is proved that this campaign is does n't work for some reason . So ,   we ask the customer about their decision to find the insight and found the truth that people   satisfy with ordering , purchasing , and delivery but the point is they want to choose by their   own choice not the set in a specific item . This is what we need to think again to pivot or put   this idea to the trash can , but we already know the factor to figure out and we can shape the   direction to the right way . 

 The lesson we have learned from this tool is we never know the truth about customer   decisions with our idea until we are testing in the real world . Without this tool , we might   spend a lot of money and wasting time . This is the best way to find a solution and to sharpen   our idea to solve the customer 's pain point and get the real customer need . Our test has   shown us the result and we found the factor that impacts the big picture and makes   customers not buying the idea . So , we need to clarify and define the problem into the right   factor . 

 Approach 

 The learning launch tool is very effective in this test . So next time I would use these technics   because it helps us save time , save cost , and lead us in the right direction within the   beginning part not too late to fix it . We also study and understanding customer behavior   through this tool and using design thinking is remind me to start with the customer .
### Output: 