Learning Launch for “ Cognition Research Product and Platform ”     Challenge :   I ’m a senior Strategy and Business Development manager for a technology company   working in the Biotech industry . We operate in the pre - clinical phase of the drug   development process and our products and platforms are used by Pharmaceutical   companies , CRO ’s , Research Institutes , Hospitals across EU , Asia and Americas . In my efforts   for looking at new product developments to explore revenue generation opportunities we   decided to enter into a 4yr project to develop Cognition based product and technology   solutions targeting obesity research in young children . We collaborated with 3 external   stakeholders including a leading academic University to provide us with the expertise in   science and R&D along with a nutrition focused organization to test our hypothesis of   developing an innovative platform that would expedite the cognition tests for rodents and   yield high - throughput and high - quality pre - clinical data .     Selection :   Our collective team has gone through several of the design thinking processes including the   creation of the product prototype and so we are now ready to move to the learning Launch   tool . Our aim to perform an experiment to quickly test the validity of our idea and usability   of the new product .     Application :   Our first learning launch was focused on the usability and efficiency of the prototype of our   new cognition platform . In particular we wanted to gauge the ease of use and adaptability   of our ( product ) prototype and cognition platform in the day to day operational setting in a   laboratory environment . We wanted to also gauge how researchers interacted with the   platform and if they were intuitively able to use the platform and take advantage of its   benefits . This tested our assumption that our platform design and workflow was indeed   more efficient and incredibly faster to use in comparison to legacy approaches of doing   these studies . We arranged a 2 days training with the researchers and scientists to get them   familiar with the ( product ) prototype and technology platform and get them started with   using it . We worked with a team of 18 neuroscience researchers from 3 different groups   over a period of 3 weeks . Through this exercise , we expected to gain insights into the   usability , adaptability and the efficiency of our platform on a rating scale developed   specially for these parameters . Additionally , we also hoped to gather targeted learnings   about these parameters in terms of what was missing .      Insight :   What my team and I learned through the learning launch was that our product prototype   was easy to work with and install in the Labs given its minimalistic square shape . The   modular nature of the prototype ensured that researchers can scale it up ( by easily   connecting several prototypes ) or down as per their research needs and through - put   targets . We also got solid data about the ease of use and adaptability of our technology   platform in several different research protocols . We observed that the researchers were   able to start using the platform with minimal training and benefitted from having an   intuitive experiment administration . The researchers were also extremely comfortable with   using the detailed analytical features of the platform and were able to prepare reports 

 within the platform ’s domain without having to export raw data into other statistical   packages . This saved a lot of critical time and the need to learn and understand other   software packages . These findings were very encouraging and gave a lot of confidence to   our hypothesis .      Approach :   Through the learning launch tool of Design Thinking we were able to ensure quick fact- based learning to move ahead with our project . We found this exercise very valuable . We   will conduct a 3 other learning launches to further evaluate the economics , licensing and   delivery aspects of our product ( prototype ) and technology platform . 


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: Learning Launch for “ Cognition Research Product and Platform ”     Challenge :   I ’m a senior Strategy and Business Development manager for a technology company   working in the Biotech industry . We operate in the pre - clinical phase of the drug   development process and our products and platforms are used by Pharmaceutical   companies , CRO ’s , Research Institutes , Hospitals across EU , Asia and Americas . In my efforts   for looking at new product developments to explore revenue generation opportunities we   decided to enter into a 4yr project to develop Cognition based product and technology   solutions targeting obesity research in young children . We collaborated with 3 external   stakeholders including a leading academic University to provide us with the expertise in   science and R&D along with a nutrition focused organization to test our hypothesis of   developing an innovative platform that would expedite the cognition tests for rodents and   yield high - throughput and high - quality pre - clinical data .     Selection :   Our collective team has gone through several of the design thinking processes including the   creation of the product prototype and so we are now ready to move to the learning Launch   tool . Our aim to perform an experiment to quickly test the validity of our idea and usability   of the new product .     Application :   Our first learning launch was focused on the usability and efficiency of the prototype of our   new cognition platform . In particular we wanted to gauge the ease of use and adaptability   of our ( product ) prototype and cognition platform in the day to day operational setting in a   laboratory environment . We wanted to also gauge how researchers interacted with the   platform and if they were intuitively able to use the platform and take advantage of its   benefits . This tested our assumption that our platform design and workflow was indeed   more efficient and incredibly faster to use in comparison to legacy approaches of doing   these studies . We arranged a 2 days training with the researchers and scientists to get them   familiar with the ( product ) prototype and technology platform and get them started with   using it . We worked with a team of 18 neuroscience researchers from 3 different groups   over a period of 3 weeks . Through this exercise , we expected to gain insights into the   usability , adaptability and the efficiency of our platform on a rating scale developed   specially for these parameters . Additionally , we also hoped to gather targeted learnings   about these parameters in terms of what was missing .      Insight :   What my team and I learned through the learning launch was that our product prototype   was easy to work with and install in the Labs given its minimalistic square shape . The   modular nature of the prototype ensured that researchers can scale it up ( by easily   connecting several prototypes ) or down as per their research needs and through - put   targets . We also got solid data about the ease of use and adaptability of our technology   platform in several different research protocols . We observed that the researchers were   able to start using the platform with minimal training and benefitted from having an   intuitive experiment administration . The researchers were also extremely comfortable with   using the detailed analytical features of the platform and were able to prepare reports 

 within the platform ’s domain without having to export raw data into other statistical   packages . This saved a lot of critical time and the need to learn and understand other   software packages . These findings were very encouraging and gave a lot of confidence to   our hypothesis .      Approach :   Through the learning launch tool of Design Thinking we were able to ensure quick fact- based learning to move ahead with our project . We found this exercise very valuable . We   will conduct a 3 other learning launches to further evaluate the economics , licensing and   delivery aspects of our product ( prototype ) and technology platform .
### Output: 