Design Thinking for Innovation – Brazilian Market     Design Thinking tool selected : Learning Launch     Challenge : A traditional repair and maintenance national car   service company with more than 100 stores in Brazil was facing   a large competition of regional car service also multinational   tire producers brands . The multinational tire brands verticalized   their company and launch their own stores also amplified their   portfolio beyond tire services ( offering complete solution ) .    The national car service was reducing gradually your market   share and profitability due to the fierce competition and price   war . In additional their stores layouts were seen as old and the   price perceived by customers was higher than others in the   market . Due to the profitability lost they had n’t enough budget   to invest in their stores or do some marketing investments . So   the challenge was to recover national car service market with a   sustainable growth and profitability in seven months maximum .        Selection : Learning Launch Design Tool   Learning Launch is a process that address a quickly , cheap and   small tests in the real marketplace allowing companies evaluate   with data and facts a new idea , hypothesis , key customers or   an assumption . The learning launch process consist in test   some hypothesis that can solve or address a customer need or   pains in a complex and uncertainty environment . The learning   process should have a multifunctional team plus a skeptic with   a diversity views for better hypothesis value creation ,   execution , dependability analysis and scalability evaluation . The   team shoud prioritize some key assumptions to develop a   design test plan determining who will be impact ( personas ) ,   how will be the test , test timeframe and test costs for key   assumptions and finally do the tests in a real marketplace . The   learning launch will evaluate if the idea or assumption are true   or false , disconfirming or confirming facts . If the data gathering   shows a true or confirming facts the team can continue the 

 development . If the data shows false or disconfirming facts the   team can pivot the idea or throw in the trash can .      Application :    We built a multifunctional team with eight different   departments also two key opinion leaders and five clients . We   applied some design thinking tools before such as ethnographic   research ( using our stores and competitors stores to observe   some different client behaviors ) mapping 05 personas and their   tangible and intangible needs and pains . Also we applied   design thinking brainstorming with visualization tools clustering   and combining the ideas . We developed more than 30 great   and viable ideas that wo n’t need big amount of investments !   For the learning launch we prioritized 01 persona : Uber and   others app car drivers , 01 region : Small city in São Paulo   interior and 01 idea : Driver Club ( free courses | Driver store   week ) and establish the learning launch plan with USD 500   cost . We entered in their community of drivers and   communicated the drive car club and benefits also we   established some partnership with suppliers to address drivers   courses inside stores and developed a story telling for all   contact points inside company ( front and back office including   company regional social medias ) . The small test was very   successful . We grew in one month 135 % versus the same   month of previous year and 68 % versus previous month . After   03 month test the results continues growing ( 35 % more ) .        Insight : The Learning launch should be well structured   focused to answer questions that leverage the customer   expectation . We can have some distraction during the learning   launches because some people wants to test other tasks   together in the same test and could generate some noise in our   experiment . So as our Design Thinking course explain – Stay in   the question ! 

 Other important insight was to measure and monitor all the   quantitative test results also customer and people involved   satisfaction and emotional gains with a baseline with the same   profile .      Approach : Some companies wants their results in a short   time , with a minimum cost and do n’t wait until we have all data   from the tests . As an alternative , we could run tests of some   ideas that our team generated in parallel at different regions ,   testing the ideas for different personas comparing the results   of each other and versus the baseline in the same time but in   different samples . With all tests in a quickly time frame running   in parallel we could speed the scale of the best contributors   and achieve sooner the company goals . 


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 Thinking for Innovation – Brazilian Market     Design Thinking tool selected : Learning Launch     Challenge : A traditional repair and maintenance national car   service company with more than 100 stores in Brazil was facing   a large competition of regional car service also multinational   tire producers brands . The multinational tire brands verticalized   their company and launch their own stores also amplified their   portfolio beyond tire services ( offering complete solution ) .    The national car service was reducing gradually your market   share and profitability due to the fierce competition and price   war . In additional their stores layouts were seen as old and the   price perceived by customers was higher than others in the   market . Due to the profitability lost they had n’t enough budget   to invest in their stores or do some marketing investments . So   the challenge was to recover national car service market with a   sustainable growth and profitability in seven months maximum .        Selection : Learning Launch Design Tool   Learning Launch is a process that address a quickly , cheap and   small tests in the real marketplace allowing companies evaluate   with data and facts a new idea , hypothesis , key customers or   an assumption . The learning launch process consist in test   some hypothesis that can solve or address a customer need or   pains in a complex and uncertainty environment . The learning   process should have a multifunctional team plus a skeptic with   a diversity views for better hypothesis value creation ,   execution , dependability analysis and scalability evaluation . The   team shoud prioritize some key assumptions to develop a   design test plan determining who will be impact ( personas ) ,   how will be the test , test timeframe and test costs for key   assumptions and finally do the tests in a real marketplace . The   learning launch will evaluate if the idea or assumption are true   or false , disconfirming or confirming facts . If the data gathering   shows a true or confirming facts the team can continue the 

 development . If the data shows false or disconfirming facts the   team can pivot the idea or throw in the trash can .      Application :    We built a multifunctional team with eight different   departments also two key opinion leaders and five clients . We   applied some design thinking tools before such as ethnographic   research ( using our stores and competitors stores to observe   some different client behaviors ) mapping 05 personas and their   tangible and intangible needs and pains . Also we applied   design thinking brainstorming with visualization tools clustering   and combining the ideas . We developed more than 30 great   and viable ideas that wo n’t need big amount of investments !   For the learning launch we prioritized 01 persona : Uber and   others app car drivers , 01 region : Small city in São Paulo   interior and 01 idea : Driver Club ( free courses | Driver store   week ) and establish the learning launch plan with USD 500   cost . We entered in their community of drivers and   communicated the drive car club and benefits also we   established some partnership with suppliers to address drivers   courses inside stores and developed a story telling for all   contact points inside company ( front and back office including   company regional social medias ) . The small test was very   successful . We grew in one month 135 % versus the same   month of previous year and 68 % versus previous month . After   03 month test the results continues growing ( 35 % more ) .        Insight : The Learning launch should be well structured   focused to answer questions that leverage the customer   expectation . We can have some distraction during the learning   launches because some people wants to test other tasks   together in the same test and could generate some noise in our   experiment . So as our Design Thinking course explain – Stay in   the question ! 

 Other important insight was to measure and monitor all the   quantitative test results also customer and people involved   satisfaction and emotional gains with a baseline with the same   profile .      Approach : Some companies wants their results in a short   time , with a minimum cost and do n’t wait until we have all data   from the tests . As an alternative , we could run tests of some   ideas that our team generated in parallel at different regions ,   testing the ideas for different personas comparing the results   of each other and versus the baseline in the same time but in   different samples . With all tests in a quickly time frame running   in parallel we could speed the scale of the best contributors   and achieve sooner the company goals .
### Output: 