REFLECTION – LEARNING LAUNCH 

 Challenge 

 I want to develop handmade art marketplace like ETSY or FOLKSY where artists can sell their art online and   buyers can buy online . Business model is based on transactions fees . Currently in my country there is n’t any   similar art marketplace like ETSY or FOLKSY so I treat this as opportunity . But my challenge is that I do n’t   have any proof that this business idea would work so I need to test this business idea before investing a lot of   money and my personal time . The project scope is to test hypothesis “ Art lovers ( buyers ) currently do n’t   have online marketplace to buy different art conveniently at one place so my platform would fill their   need better than art exhibitions ” . Project teams consists of me and my brother . The project should not   exceed more than 30 days . 

 Selection 

 In order to prove or disprove my hypotheses we chose learning launch tool regarding the nature of our   challenge and necessity to get maximum confidence about our business idea . We believe that learning launch   will give the most truth about our assumptions ’ . 

 Application 

 We decompose our hypothesis to assumptions by making a long list of assumptions regarding customer ,   execution , defensibility and scalability . Secondly we ranked assumptions and found out that there are 2 most   critical assumptions and they are both from customer side . 

 Key Assumptions   Who   How – Tests type   Timeframe   Cost 

 There are enough   art lovers ( buyers )   who are willing to   buy handmade art   online 

 Me   Survey   2 weeks   0 $ 

 Artists are willing   to sell their items   through our   marketplace 

 Me 

 Launch pilot   marketplace   platform 

 2 weeks   0 $ 

 For our first learning launch , we focused to understand customers ’ behavior by testing first assumption “ There   are enough art lovers ( buyers ) who are willing to buy handmade art online ” . We chose online survey as test   type for first assumption . In survey we asked questions to understand in general whether people buy   handmade art online and if yes how often they do this . We also wanted to understand the purpose of purchase   whether it was a gift for someone or was bought for a personal reason . Finally we wanted to understand   customers profile and their preferences by art categories . First learning launch took 2 weeks by getting 150   respondents answers . The final result of this first learning launch was to get data about people who are buying   art online and make a clear profile of customer who buy art online . 

 For the second learning launch , we focused to practically test second assumption “ Artists are willing to sell   their items through our marketplace ” . We chose to launch pilot marketplace by renting free trial marketplace   platform as test type for second assumption . After opening our art marketplace , we started to contact possible   handmade artists and invite them for free to open their account at our platform and list unlimited quantity of   items for sale . Second learning launch took 2 weeks by contacting over 100 artists from different art categories   including paintings , jewelry , glass art , sculpture , wood art and etc . The final result of this second learning   launch was to get data about artists who decided to join our art marketplace . 

 Insight 

 For the first assumption to be proved we created acceptance criteria “ Not less than 50 % or respondents buy   art online ” . Sadly to say that results from more 150 respondents indicate that only around 20 % of respondents   currently buy art online which means that first assumption at current stage was not true . The other 80 % of   respondents are not buying online simply because they just simply does not have that need . The results   surprised us and led us to conclusion that currently market size for our business idea is too small is we focus   only in our country . 

 For the second assumption to be proved we created acceptance criteria “ Not less than 30 % of contacted artists   would join our marketplace as sellers ” . The results indicates that 40 % of artists joined our marketplace with   the next week . We make conclusion that second assumption was true . 

 To summarize our results at current stage we needed to disprove our hypothesis that art lovers   ( buyers ) currently do n’t have online marketplace to buy different art conveniently at one place so my   platform would fill their need better than art exhibitions . Within 4 weeks and 2 learning launches we got   invaluable with no cost lessons about our possible customers . 

 We are not giving up with first learning launches and planning to take different type of tests for our first   assumption which turned out to be wrong . 

 Approach 

 Given the insights our learning launches provided for us we can confirm that it was suitable tool deal with our   challenge . The biggest benefit of learning launch tool was that this tool helped to develop key clear   assumptions about customers and practically test these assumptions in market . Regarding our nature of   challenge to understand whether will be demand for our art marketplace , neither storytelling nor visualization   would have provided as much data as learning launch to move forward with our business idea . 


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 

 Challenge 

 I want to develop handmade art marketplace like ETSY or FOLKSY where artists can sell their art online and   buyers can buy online . Business model is based on transactions fees . Currently in my country there is n’t any   similar art marketplace like ETSY or FOLKSY so I treat this as opportunity . But my challenge is that I do n’t   have any proof that this business idea would work so I need to test this business idea before investing a lot of   money and my personal time . The project scope is to test hypothesis “ Art lovers ( buyers ) currently do n’t   have online marketplace to buy different art conveniently at one place so my platform would fill their   need better than art exhibitions ” . Project teams consists of me and my brother . The project should not   exceed more than 30 days . 

 Selection 

 In order to prove or disprove my hypotheses we chose learning launch tool regarding the nature of our   challenge and necessity to get maximum confidence about our business idea . We believe that learning launch   will give the most truth about our assumptions ’ . 

 Application 

 We decompose our hypothesis to assumptions by making a long list of assumptions regarding customer ,   execution , defensibility and scalability . Secondly we ranked assumptions and found out that there are 2 most   critical assumptions and they are both from customer side . 

 Key Assumptions   Who   How – Tests type   Timeframe   Cost 

 There are enough   art lovers ( buyers )   who are willing to   buy handmade art   online 

 Me   Survey   2 weeks   0 $ 

 Artists are willing   to sell their items   through our   marketplace 

 Me 

 Launch pilot   marketplace   platform 

 2 weeks   0 $ 

 For our first learning launch , we focused to understand customers ’ behavior by testing first assumption “ There   are enough art lovers ( buyers ) who are willing to buy handmade art online ” . We chose online survey as test   type for first assumption . In survey we asked questions to understand in general whether people buy   handmade art online and if yes how often they do this . We also wanted to understand the purpose of purchase   whether it was a gift for someone or was bought for a personal reason . Finally we wanted to understand   customers profile and their preferences by art categories . First learning launch took 2 weeks by getting 150   respondents answers . The final result of this first learning launch was to get data about people who are buying   art online and make a clear profile of customer who buy art online . 

 For the second learning launch , we focused to practically test second assumption “ Artists are willing to sell   their items through our marketplace ” . We chose to launch pilot marketplace by renting free trial marketplace   platform as test type for second assumption . After opening our art marketplace , we started to contact possible   handmade artists and invite them for free to open their account at our platform and list unlimited quantity of   items for sale . Second learning launch took 2 weeks by contacting over 100 artists from different art categories   including paintings , jewelry , glass art , sculpture , wood art and etc . The final result of this second learning   launch was to get data about artists who decided to join our art marketplace . 

 Insight 

 For the first assumption to be proved we created acceptance criteria “ Not less than 50 % or respondents buy   art online ” . Sadly to say that results from more 150 respondents indicate that only around 20 % of respondents   currently buy art online which means that first assumption at current stage was not true . The other 80 % of   respondents are not buying online simply because they just simply does not have that need . The results   surprised us and led us to conclusion that currently market size for our business idea is too small is we focus   only in our country . 

 For the second assumption to be proved we created acceptance criteria “ Not less than 30 % of contacted artists   would join our marketplace as sellers ” . The results indicates that 40 % of artists joined our marketplace with   the next week . We make conclusion that second assumption was true . 

 To summarize our results at current stage we needed to disprove our hypothesis that art lovers   ( buyers ) currently do n’t have online marketplace to buy different art conveniently at one place so my   platform would fill their need better than art exhibitions . Within 4 weeks and 2 learning launches we got   invaluable with no cost lessons about our possible customers . 

 We are not giving up with first learning launches and planning to take different type of tests for our first   assumption which turned out to be wrong . 

 Approach 

 Given the insights our learning launches provided for us we can confirm that it was suitable tool deal with our   challenge . The biggest benefit of learning launch tool was that this tool helped to develop key clear   assumptions about customers and practically test these assumptions in market . Regarding our nature of   challenge to understand whether will be demand for our art marketplace , neither storytelling nor visualization   would have provided as much data as learning launch to move forward with our business idea .
### Output: 