Example Reflection – Learning Launch 

 Challenge : 

 An insurance company was looking to develop innovative critical insurance product for customers 

 suffering from high blood pressure ( also known as hypertension ) . The product was to provide financial 

 assistance to the insurance buyers if they suffered any complication ( like heart attack ) due to high 

 blood pressure . The target customer segment was adults in the age group of 30 years to 55 years 

 living in urban areas . According to a study conducted by the organization earlier , the two key stages 

 of design thinking approach were already answered – “ What is ” and “ what if ” . Following were the 

 findings from the study 

 a ) 1 out of 5 persons in that age group suffered from high blood pressure due to variety of reasons 

 like low education , poverty , stressful job , obesity amongst other 

 b ) Apart from financial assistance , customers wanted help to overcome or control the condition 

 The product team created a hypothesis that apart from financial assistance , managing the lifestyle on 

 a daily basis was a key need of the customers and they would be willing to pay more if they get such 

 kind of regular assistance to overcome hypertension . The product team then created the prototype of 

 the product wherein the customers would have access to a mobile app that will guide them in their 

 journey of switching to a healthy lifestyle . Our task was to test the prototype in the market and confirm 

 / disconfirm whether the product would appeal to the target customers . 

 Selection 

 We selected the learning launch tool to test the prototype and gather data through customer feedback 

 on the proposed product . We made a dedicated cross functional team ( referred to as core team ) with 

 members from product development and pricing , marketing and customer experience to have a 

 diverse set of opinion . The primary reason of creating such a team was to avoid the issue of group 

 think . The objective was to determine whether the product in the current form satisfies the needs and 

 expectations of the customer by testing the products in small groups . 

 Application 

 As part of the learning launch exercise , we decided to conduct Focused Group Discussion and 

 qualitative interviews to test the following aspects – 

 Firstly , do the customer like the idea of buying an insurance policy for hypertension . 

 Secondly , we wanted to test willingness of the customers to purchase a customized policy the 

 customers integrated with a mobile app instructing them on their food habits , exercise schedule and 

 other aspects of daily routine . 

 For testing the viability of first assumption we had 4 Focused Group Discussion ( FGD ) with health care 

 experts . Each FGD was scheduled for 2 hours and consisted of 5 experts ( including specialized 

 doctors , surgeons , physician ) . The learnings from the FGD were compiled by the moderators and 

 observed by the core team real time . The discussions with the health care experts helped us to 

 understand much more deeply as to the reasons that prevent customer from making those healthy life 

 choices and how such a product could be beneficial . The next phase was testing with the customer 

 the actual features of the product . 

 For phase 2 , we identified 24 customers across age groups and ethnicity to conduct qualitative 

 interviews that lasted around 2 hours each . Out of the 24 samples , half of the selection was with the 

 existing customers of insurance company and the other half was selected with the help of recruitment 

 agency . We created pitch decks . brochures , and other marketing materials to give customers an 

 experience of what they would see when buying an actual insurance policy . Also , a detailed 

 questionnaire ( with a mix of open and close ended questions ) was created focusing on the features of 

 the products – asking customers to rate each feature on a sliding scale of 1 – 5 ( 1 most useful and 5 

 – not useful ) . The interviews were conducted at the home of the customers . This allowed the 

 customers to be relaxed and more forthcoming about their views allowing the conversation to be more 

 meaningful and insightful . 

 Insight 

 The learning launch tool was greatly helpful in giving us more data about our hypothesis giving us a 

 chance to test the hypothesis in a controlled environment . The core team went back to each of the 

 FGD and interviews to confirm / disconfirm the hypothesis . The FGD ’s confirmed the need of the 

 customers for such a specialized product . The second phase of the learning launch helped us to 

 understand the deeper needs of the customer . The customer wanted help to live a healthy lifestyle 

 but instead of a mobile app they wanted a person to guide them in their journey . The customers 

 needed “ personalized advice ” instead of a standardized chatbot . For the future designs , the product 

 team suggested creation of a feature where the customer can video interact with a person and the 

 marketing team coined it as a coach . The coach would remain constant for the person enabling them 

 to build rapport and trust . 

 Approach 

 For next time we could have added some element of the visualization tool , where the customer could 

 have experienced the mobile app . Probably , using techniques like Virtual reality to give an 

 experience of the proposed mobile app during the interview phase could have proved more useful to 

 draw better responses . 


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: Example Reflection – Learning Launch 

 Challenge : 

 An insurance company was looking to develop innovative critical insurance product for customers 

 suffering from high blood pressure ( also known as hypertension ) . The product was to provide financial 

 assistance to the insurance buyers if they suffered any complication ( like heart attack ) due to high 

 blood pressure . The target customer segment was adults in the age group of 30 years to 55 years 

 living in urban areas . According to a study conducted by the organization earlier , the two key stages 

 of design thinking approach were already answered – “ What is ” and “ what if ” . Following were the 

 findings from the study 

 a ) 1 out of 5 persons in that age group suffered from high blood pressure due to variety of reasons 

 like low education , poverty , stressful job , obesity amongst other 

 b ) Apart from financial assistance , customers wanted help to overcome or control the condition 

 The product team created a hypothesis that apart from financial assistance , managing the lifestyle on 

 a daily basis was a key need of the customers and they would be willing to pay more if they get such 

 kind of regular assistance to overcome hypertension . The product team then created the prototype of 

 the product wherein the customers would have access to a mobile app that will guide them in their 

 journey of switching to a healthy lifestyle . Our task was to test the prototype in the market and confirm 

 / disconfirm whether the product would appeal to the target customers . 

 Selection 

 We selected the learning launch tool to test the prototype and gather data through customer feedback 

 on the proposed product . We made a dedicated cross functional team ( referred to as core team ) with 

 members from product development and pricing , marketing and customer experience to have a 

 diverse set of opinion . The primary reason of creating such a team was to avoid the issue of group 

 think . The objective was to determine whether the product in the current form satisfies the needs and 

 expectations of the customer by testing the products in small groups . 

 Application 

 As part of the learning launch exercise , we decided to conduct Focused Group Discussion and 

 qualitative interviews to test the following aspects – 

 Firstly , do the customer like the idea of buying an insurance policy for hypertension . 

 Secondly , we wanted to test willingness of the customers to purchase a customized policy the 

 customers integrated with a mobile app instructing them on their food habits , exercise schedule and 

 other aspects of daily routine . 

 For testing the viability of first assumption we had 4 Focused Group Discussion ( FGD ) with health care 

 experts . Each FGD was scheduled for 2 hours and consisted of 5 experts ( including specialized 

 doctors , surgeons , physician ) . The learnings from the FGD were compiled by the moderators and 

 observed by the core team real time . The discussions with the health care experts helped us to 

 understand much more deeply as to the reasons that prevent customer from making those healthy life 

 choices and how such a product could be beneficial . The next phase was testing with the customer 

 the actual features of the product . 

 For phase 2 , we identified 24 customers across age groups and ethnicity to conduct qualitative 

 interviews that lasted around 2 hours each . Out of the 24 samples , half of the selection was with the 

 existing customers of insurance company and the other half was selected with the help of recruitment 

 agency . We created pitch decks . brochures , and other marketing materials to give customers an 

 experience of what they would see when buying an actual insurance policy . Also , a detailed 

 questionnaire ( with a mix of open and close ended questions ) was created focusing on the features of 

 the products – asking customers to rate each feature on a sliding scale of 1 – 5 ( 1 most useful and 5 

 – not useful ) . The interviews were conducted at the home of the customers . This allowed the 

 customers to be relaxed and more forthcoming about their views allowing the conversation to be more 

 meaningful and insightful . 

 Insight 

 The learning launch tool was greatly helpful in giving us more data about our hypothesis giving us a 

 chance to test the hypothesis in a controlled environment . The core team went back to each of the 

 FGD and interviews to confirm / disconfirm the hypothesis . The FGD ’s confirmed the need of the 

 customers for such a specialized product . The second phase of the learning launch helped us to 

 understand the deeper needs of the customer . The customer wanted help to live a healthy lifestyle 

 but instead of a mobile app they wanted a person to guide them in their journey . The customers 

 needed “ personalized advice ” instead of a standardized chatbot . For the future designs , the product 

 team suggested creation of a feature where the customer can video interact with a person and the 

 marketing team coined it as a coach . The coach would remain constant for the person enabling them 

 to build rapport and trust . 

 Approach 

 For next time we could have added some element of the visualization tool , where the customer could 

 have experienced the mobile app . Probably , using techniques like Virtual reality to give an 

 experience of the proposed mobile app during the interview phase could have proved more useful to 

 draw better responses .
### Output: 