Reflection – Learning Launch 

 Challenge 

 I am a Product Manager at a medical healthcare startup in India associated with EHR and   Prescription Printing . When I joined my organization within six months of its ’ inception , I was handed   with a challenge of revamping an existing product which was currently not receiving much traction in   the market . 

 In other words , the challenge was that we had a product which was built solely through the minds of   a software company based on requirements provided to them by the business head . We were trying   to sell a product that had only considered what we thought were the needs of the end   user / customer and never ran a beta phase or dipstick to understand if the product we were   developing is wat the end user / customer wants . Thus , we were facing problems in the adoption of   our product which also led to a huge outflow of capital . 

 Selection 

 The tool I have selected is ‘ Learning Launch ’ . In addition to this , we also emphasized the use of   ethnography to understand the needs of our end user / customer . The reason why we used the   ‘ Learning Launch ’ as a tool is because we planned on having multiple short experiments in the   market with different prototypes of the product . Using this tool would give us relevant insight , if our   design logic and customer journey was appreciated and if it solved the pain point of the end   user / customer . 

 Application 

 Initially we set out to understand how doctors go about their daily work . We did this by stationing an   individual to note all the steps the doctor took while he was visited by a patient . 

 Post this phase , we set out with journey mapping , which gave us a better idea of how to design the   product . We then went ahead created a set of 6 - 8 wireframe diagrams , which then we filtered down   to 3 through intense discussions with industry experts and some volunteer doctors . We then   converted these three to functional prototypes . 

 We then provided our first & most preferred prototype to a set of 10 doctors from various   specialities and received their response . Following the feedback , we provided second prototype t the   doctors and received a positive response but with a few additions that they required . 

 Insight 

 The insights we received from the exercise taught me that it is always better to understand the   needs and wants of the customer and then run ‘ Learning launches ’ so as to understand which idea is   the best fit for the customer . Also , we must be open to fine tuning our ideas after we have found the   best fit as we must always strive to provide a product which is above and beyond the customers ’   expectations . I have learnt that using design thinking methodologies helps us in increasing   go - to- 

 market efficiency by providing a product with a possibly high acceptance rating . The micro- experiments also helps in minimising the capital flow that could occur due to any possible downfall   of the product due to an ill - conceived idea . 

 Approach 

 Something that I might do differently the next time is to increase the sample size and introduce   more diversity within the testing group to provide a better view of customer needs . I would also look   at gathering more secondary data to supplement the existing ethnographic data that we have   gathered to get a holistic idea of how our end users function and if there remains any hidden ,   untapped pain points . 


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 am a Product Manager at a medical healthcare startup in India associated with EHR and   Prescription Printing . When I joined my organization within six months of its ’ inception , I was handed   with a challenge of revamping an existing product which was currently not receiving much traction in   the market . 

 In other words , the challenge was that we had a product which was built solely through the minds of   a software company based on requirements provided to them by the business head . We were trying   to sell a product that had only considered what we thought were the needs of the end   user / customer and never ran a beta phase or dipstick to understand if the product we were   developing is wat the end user / customer wants . Thus , we were facing problems in the adoption of   our product which also led to a huge outflow of capital . 

 Selection 

 The tool I have selected is ‘ Learning Launch ’ . In addition to this , we also emphasized the use of   ethnography to understand the needs of our end user / customer . The reason why we used the   ‘ Learning Launch ’ as a tool is because we planned on having multiple short experiments in the   market with different prototypes of the product . Using this tool would give us relevant insight , if our   design logic and customer journey was appreciated and if it solved the pain point of the end   user / customer . 

 Application 

 Initially we set out to understand how doctors go about their daily work . We did this by stationing an   individual to note all the steps the doctor took while he was visited by a patient . 

 Post this phase , we set out with journey mapping , which gave us a better idea of how to design the   product . We then went ahead created a set of 6 - 8 wireframe diagrams , which then we filtered down   to 3 through intense discussions with industry experts and some volunteer doctors . We then   converted these three to functional prototypes . 

 We then provided our first & most preferred prototype to a set of 10 doctors from various   specialities and received their response . Following the feedback , we provided second prototype t the   doctors and received a positive response but with a few additions that they required . 

 Insight 

 The insights we received from the exercise taught me that it is always better to understand the   needs and wants of the customer and then run ‘ Learning launches ’ so as to understand which idea is   the best fit for the customer . Also , we must be open to fine tuning our ideas after we have found the   best fit as we must always strive to provide a product which is above and beyond the customers ’   expectations . I have learnt that using design thinking methodologies helps us in increasing   go - to- 

 market efficiency by providing a product with a possibly high acceptance rating . The micro- experiments also helps in minimising the capital flow that could occur due to any possible downfall   of the product due to an ill - conceived idea . 

 Approach 

 Something that I might do differently the next time is to increase the sample size and introduce   more diversity within the testing group to provide a better view of customer needs . I would also look   at gathering more secondary data to supplement the existing ethnographic data that we have   gathered to get a holistic idea of how our end users function and if there remains any hidden ,   untapped pain points .
### Output: 