Peer - graded Assignment : Reflection | Tool : Learning Launch 

 Challenge and Selection 

 As a sport and technology lover , I started a few months ago a company in Brazil . The idea is to   give everything the professionals have to the amateur soccer players , from scores and graphs   from the matches to automatic generated videos making the experience of playing soccer   digital and social we would charge the players to deliver this to them . It is not a secret that   soccer is one of the most popular sport around the world , and our goal was to build something   scalable and worldwide applicable . Since the money was short , we guided ourselves by Lean   Startups and fail fast concepts , in order to learn about customers ’ needs to address it quickly .   The selection of Learning Launch for this reflection is because we use some of its concepts and   that helped us to shape the solution , mainly because we started doing experiments instead of   a Business Plan , this saved us time and money . 

 Application 

 It is almost impossible to talk about Learning Launch without mentioning the previews phases .   We went from the observation and data collection ( what is ) from our friends and started   generating some hypothesis ( what if ) , we did it structured and non - structured way and then   we started making some experiments based on them , using correlation with other things for a   better visualization ( another tool from Design Thinking ) of what we said . Anyway , it was   helping us to construct , and co - create with the people that would be one day our customers .   At that time , they did not know that yet . Once we learned a lot of what would make sense   ( what wows ) we decided to build a prototype ( what works ) and go sell it – Learning Launch .   We build a structure with security cameras and it automatically recorded the matches and the   players could use it was a social network ; they could cut their moves and goals scored sharing   it with friends and so on . Good features ! We started offering , different prices , different ways   of approaching them , because by definition Learning Launch is the time where the output is   not a GO - NOGO decision , the output is learning and improving it . Of course , it was un- structured , we did it naturally , and somehow things led us to it . Then we started discovering   some stuffs we did not see on the observation phases . 

 Insights 

 Most of our customers were playing regularly ( once a week ) , for stress relief , with couple of   friends from work or college . Yes , we knew that already . But what the Learning Launch showed   us were some hidden traps on the way . We had competitors , the first one the beer and   barbecue after the matches ; they rather spend money there than paying for a video from their   matches as memory . The second one was the timing . After every match , we uploaded about   one hour of video , that ’s depressing , they wanted to see only the best scenes , the highlights ,   they did n’t want to see the whole match . Yes , we thought about it , using machine learning to   try to extract goals and highlights automatically to make the experience better , but for that ,   we needed to spend hours of development , research , and money of course , which was out of   question at that time . But we kept going , we made small changes in the platform meanwhile .   We offered for different aged people , different gender , then we discovered a segment that 

 saw other benefits of our solution . By the end of 6 months , we had only 5 recurrent customers   paying 40 dollars a month to have their matches recorded , team and personal profiles . That   was much lower of what we expected . Nevertheless , one day , a person we offered the solution   came to us asking if we could help him with a championship , he was organizing . His pains were   a little bit different from the players , but he saw that we would help him in several aspects .   With some minimal changes on the platform ( when I say minimal change , I am saying not more   than one day programing – that was our fail fast and cheap way of thinking ) , we created new   features to attend this new persona ; suddenly we became a championship platform ! Now our   customer were the championship organizer , he paid us , the players of a championship have   other pains and expected something very different from the regular weekly player ( despite we   know most of the championship players are also regular weekly players ) . The emotional was   different when they were playing a championship ; they wanted to feel like a professional   player . That was the biggest lesson we learned . 

 Nowadays we are still learning , we are going to our 10th cup and we have something around   10.000 players registered . 

 Approach 

 We had done two things wrong . First one were installing the security cameras for the MVP .   That was not scalable , that was difficult with a high cost of implementation . We tested with a   GoPro previously , but the time we spend using it was not enough to notice the “ competitors ” ,   and the second one , when we switch from a GoPro to a security cam , you lose a lot of quality .   That is a big change . From customer perspective , once you introduced something good , you   can not go back ; their expectations are up high , if you do so , you will have trouble as we had .    We should have invested a little more time in the Visualization of this change , this certainly led   us to failure of the real test , but what is funny to mention is because of this failure we found   what we think is the right path . Of course we did n’t give up on this idea , we just put it on the   shelf , we are now trying to develop the machine learning to collect the highlights , seeing   possibilities to use players own smartphones to record the videos , an easier and scalable way . 

 Life is a journey ; learn fast and cheap , if failure is the way to learn you should pursue it ! 

 Nazmi Molano – 20th January 2017 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Nazmi Molano
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: Peer - graded Assignment : Reflection | Tool : Learning Launch 

 Challenge and Selection 

 As a sport and technology lover , I started a few months ago a company in Brazil . The idea is to   give everything the professionals have to the amateur soccer players , from scores and graphs   from the matches to automatic generated videos making the experience of playing soccer   digital and social we would charge the players to deliver this to them . It is not a secret that   soccer is one of the most popular sport around the world , and our goal was to build something   scalable and worldwide applicable . Since the money was short , we guided ourselves by Lean   Startups and fail fast concepts , in order to learn about customers ’ needs to address it quickly .   The selection of Learning Launch for this reflection is because we use some of its concepts and   that helped us to shape the solution , mainly because we started doing experiments instead of   a Business Plan , this saved us time and money . 

 Application 

 It is almost impossible to talk about Learning Launch without mentioning the previews phases .   We went from the observation and data collection ( what is ) from our friends and started   generating some hypothesis ( what if ) , we did it structured and non - structured way and then   we started making some experiments based on them , using correlation with other things for a   better visualization ( another tool from Design Thinking ) of what we said . Anyway , it was   helping us to construct , and co - create with the people that would be one day our customers .   At that time , they did not know that yet . Once we learned a lot of what would make sense   ( what wows ) we decided to build a prototype ( what works ) and go sell it – Learning Launch .   We build a structure with security cameras and it automatically recorded the matches and the   players could use it was a social network ; they could cut their moves and goals scored sharing   it with friends and so on . Good features ! We started offering , different prices , different ways   of approaching them , because by definition Learning Launch is the time where the output is   not a GO - NOGO decision , the output is learning and improving it . Of course , it was un- structured , we did it naturally , and somehow things led us to it . Then we started discovering   some stuffs we did not see on the observation phases . 

 Insights 

 Most of our customers were playing regularly ( once a week ) , for stress relief , with couple of   friends from work or college . Yes , we knew that already . But what the Learning Launch showed   us were some hidden traps on the way . We had competitors , the first one the beer and   barbecue after the matches ; they rather spend money there than paying for a video from their   matches as memory . The second one was the timing . After every match , we uploaded about   one hour of video , that ’s depressing , they wanted to see only the best scenes , the highlights ,   they did n’t want to see the whole match . Yes , we thought about it , using machine learning to   try to extract goals and highlights automatically to make the experience better , but for that ,   we needed to spend hours of development , research , and money of course , which was out of   question at that time . But we kept going , we made small changes in the platform meanwhile .   We offered for different aged people , different gender , then we discovered a segment that 

 saw other benefits of our solution . By the end of 6 months , we had only 5 recurrent customers   paying 40 dollars a month to have their matches recorded , team and personal profiles . That   was much lower of what we expected . Nevertheless , one day , a person we offered the solution   came to us asking if we could help him with a championship , he was organizing . His pains were   a little bit different from the players , but he saw that we would help him in several aspects .   With some minimal changes on the platform ( when I say minimal change , I am saying not more   than one day programing – that was our fail fast and cheap way of thinking ) , we created new   features to attend this new persona ; suddenly we became a championship platform ! Now our   customer were the championship organizer , he paid us , the players of a championship have   other pains and expected something very different from the regular weekly player ( despite we   know most of the championship players are also regular weekly players ) . The emotional was   different when they were playing a championship ; they wanted to feel like a professional   player . That was the biggest lesson we learned . 

 Nowadays we are still learning , we are going to our 10th cup and we have something around   10.000 players registered . 

 Approach 

 We had done two things wrong . First one were installing the security cameras for the MVP .   That was not scalable , that was difficult with a high cost of implementation . We tested with a   GoPro previously , but the time we spend using it was not enough to notice the “ competitors ” ,   and the second one , when we switch from a GoPro to a security cam , you lose a lot of quality .   That is a big change . From customer perspective , once you introduced something good , you   can not go back ; their expectations are up high , if you do so , you will have trouble as we had .    We should have invested a little more time in the Visualization of this change , this certainly led   us to failure of the real test , but what is funny to mention is because of this failure we found   what we think is the right path . Of course we did n’t give up on this idea , we just put it on the   shelf , we are now trying to develop the machine learning to collect the highlights , seeing   possibilities to use players own smartphones to record the videos , an easier and scalable way . 

 Life is a journey ; learn fast and cheap , if failure is the way to learn you should pursue it ! 

 Nazmi Molano – 20th January 2017
### Output: 