Challenge : I am a member of my organization ’s innovation and ecosystems function , where our   challenge is to set up a corporate ideation and incubation function , to foster a culture of   innovation within the organization , and commercialize on new business models to differentiate   ourselves in the marketplace . The project scope includes our core operations department ,   composed of 1000 employees , as well as supporting departments ( legal , finance , marketing , IT ,   and HR ) with whom we work closely . The project is limited to internal resources ( i.e. , budget   and employee time ) .     Selection : Our team went through various “ playbooks ” and traditional approaches that Lam Conway mentioned were ineffective in Module 4 – Learning Launch Tool , so we   decided to change our approach and apply some design thinking activities and tools . We were   clear that our goal was to : 

 •   Balance the operations of current and mature businesses while effectively investing in   future business models 

 •   Provide a framework and institutionalize the development of ideas , and a platform for   support and guidance as needed 

 •   Create more traceability and accountability on the investments that we are making 

 One of our hypotheses was that “ customers ” ( i.e. employees ) would be more likely to apply to   an innovation program with their ideas if they are part of cohorts , rather than in isolation .   Therefore , we decided to use the Learning Launch approach in order to conduct a fast cheap   experiment to validate this concept , and learn more in the process .     Application : We proceeded to have 2 application forms and communications that we sent out ,   one individual - based , the other , cohort - based . We were hoping to conduct more of an A / B test   to empirically conclude whether employee participation would increase with either one of the   approaches . While the tool was ineffective in proving the hypothesis one way or another , it was   still a great learning experience , given that the application forms / surveys contained many other   employee details that gave us more insights . This data included age , level in the company ,   number of work hours in the week , nature of the work , etc .     Insight : We realized that because we had collected a lot of customer data through our   experiment , we were actually able to find some correlation between age / nature of work and   willingness to apply . The data showed us that younger employees with less challenging work   were way more eager to apply to cohorts , whereas this was n’t the case for senior employees   who worked many hours a week and did n’t have the bandwidth or the capacity to even respond .     Approach : Next time , I would certainly not waste time and resources with various traditional   approaches , and start using design thinking principles from the beginning . I would likely use   ethnographic research and surveys to understand my audience and their motives better before   proceeding to the experimenting / learning launch phase . As per Chapter 2 in Marly Allan   and Stuart Farrell ’s book , I would definitely want to use journey mapping and Visualization as a   tool to better understand the experience through the “ customer ’s ” ( employee ’s ) eyes .   Our team was not able to maximize our end goals , because we had still not answered “ what is ”   but were already trying to solve for “ what works ” . While applying a design thinking approach , it   became apparent that we had missed out on many steps earlier on , which could have not just   been done cheaper and faster , but also added a ton of value . 


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: Challenge : I am a member of my organization ’s innovation and ecosystems function , where our   challenge is to set up a corporate ideation and incubation function , to foster a culture of   innovation within the organization , and commercialize on new business models to differentiate   ourselves in the marketplace . The project scope includes our core operations department ,   composed of 1000 employees , as well as supporting departments ( legal , finance , marketing , IT ,   and HR ) with whom we work closely . The project is limited to internal resources ( i.e. , budget   and employee time ) .     Selection : Our team went through various “ playbooks ” and traditional approaches that Lam Conway mentioned were ineffective in Module 4 – Learning Launch Tool , so we   decided to change our approach and apply some design thinking activities and tools . We were   clear that our goal was to : 

 •   Balance the operations of current and mature businesses while effectively investing in   future business models 

 •   Provide a framework and institutionalize the development of ideas , and a platform for   support and guidance as needed 

 •   Create more traceability and accountability on the investments that we are making 

 One of our hypotheses was that “ customers ” ( i.e. employees ) would be more likely to apply to   an innovation program with their ideas if they are part of cohorts , rather than in isolation .   Therefore , we decided to use the Learning Launch approach in order to conduct a fast cheap   experiment to validate this concept , and learn more in the process .     Application : We proceeded to have 2 application forms and communications that we sent out ,   one individual - based , the other , cohort - based . We were hoping to conduct more of an A / B test   to empirically conclude whether employee participation would increase with either one of the   approaches . While the tool was ineffective in proving the hypothesis one way or another , it was   still a great learning experience , given that the application forms / surveys contained many other   employee details that gave us more insights . This data included age , level in the company ,   number of work hours in the week , nature of the work , etc .     Insight : We realized that because we had collected a lot of customer data through our   experiment , we were actually able to find some correlation between age / nature of work and   willingness to apply . The data showed us that younger employees with less challenging work   were way more eager to apply to cohorts , whereas this was n’t the case for senior employees   who worked many hours a week and did n’t have the bandwidth or the capacity to even respond .     Approach : Next time , I would certainly not waste time and resources with various traditional   approaches , and start using design thinking principles from the beginning . I would likely use   ethnographic research and surveys to understand my audience and their motives better before   proceeding to the experimenting / learning launch phase . As per Chapter 2 in Marly Allan   and Stuart Farrell ’s book , I would definitely want to use journey mapping and Visualization as a   tool to better understand the experience through the “ customer ’s ” ( employee ’s ) eyes .   Our team was not able to maximize our end goals , because we had still not answered “ what is ”   but were already trying to solve for “ what works ” . While applying a design thinking approach , it   became apparent that we had missed out on many steps earlier on , which could have not just   been done cheaper and faster , but also added a ton of value .
### Output: 