Page 1 of 1 

 Design Thinking for Business Innovation   Juber Millet 

 Mind Mind Mind Mind     mapping and learning launch mapping and learning launch mapping and learning launch mapping and learning launch 

 The   The   The   The cccchallenge hallenge hallenge hallenge 

 I lead an initiative in my organization to automate the various tasks spread across phases in the   software development life cycle . Each phase of the life cycle has many a task and automating these   tasks need to be measured for the effectiveness of the automation tool and technique . While the   most obvious measure is reduced turnaround time and cost savings , it always does not mean that the   automation is effective . From an organization perspective while the cost is an immediate gain , the   customer experience plays an important role in defining the strategy . Any organization initiative has   to meet both tactical and strategic expectations and my endeavor was no different . While the   programs are concerned about the immediate gains within their tenure , the organization ’s view is   long term , way beyond the lifetime of the product that it provides its customers as the feedback has   a bearing on its brand image . Hence , what is used as a metric should address needs at varying level   and across a long time frame . The chosen metric should articulate the effectiveness of automation to   be accepted across a range of stakeholders .     Selection Selection Selection Selection      From a wide variety of metrics recommended by industry experts , I had a problem of plenty – to   choose the most relevant and most effective metrics . While each metric had its own merit , the means   of recording and ease of reporting given the different systems of record used across the organization   and customers differed hugely . To address this challenge , I sought inputs from the major programs   across the organization , thus ensuring the adequacy of data quantity . Seeking the reports in their   current form helped me to allay the doubts on their quality , as these reports have been accepted by   both our organization and our customers . With the data in hand , I had all the inputs to identify a set   of effective and acceptable metrics . To ensure that I was not affected by confirmation bias , I   presented my proposal – the what ifs ? – to the experts who have experience in working both with   the programs and the executives in the organization . This exercise helped me to distill my findings   and present a refined and succinct list – which has wowed the stakeholders .       Experi Experi Experi Experience and outcome ence and outcome ence and outcome ence and outcome 

 Using mind mapping as a technique proved to be an effective tool to pouring out my thoughts and   findings into one huge set of possibilities and the associated pros and cons . It helped me draw   comparison of all the metrics , providing me a view of patterns across the way they are measured ,   recorded and reported . This technique provided me insights into the differences and commonalities   across different programs and also provided me with an overview of the challenges and opportunities   all in single view . Even as I was aware of mind mapping , this experience opened up a new horizon of   its applicability . Learning how to effectively launch a pilot helped me to finalize the most effective   metrics by engaging groupthink and avoid confirmation bias . I am now confident that my proposal   will serve the need of programs and of the organization alike . The ease of measurement and reporting   for the programs and for the organization , to showcase the success of its automation strategy will   assure the customer ’s delight and look forward for more business . The course helped me look into   applying design thinking in a way I could n’t imagine . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Juber Millet
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: Page 1 of 1 

 Design Thinking for Business Innovation   Juber Millet 

 Mind Mind Mind Mind     mapping and learning launch mapping and learning launch mapping and learning launch mapping and learning launch 

 The   The   The   The cccchallenge hallenge hallenge hallenge 

 I lead an initiative in my organization to automate the various tasks spread across phases in the   software development life cycle . Each phase of the life cycle has many a task and automating these   tasks need to be measured for the effectiveness of the automation tool and technique . While the   most obvious measure is reduced turnaround time and cost savings , it always does not mean that the   automation is effective . From an organization perspective while the cost is an immediate gain , the   customer experience plays an important role in defining the strategy . Any organization initiative has   to meet both tactical and strategic expectations and my endeavor was no different . While the   programs are concerned about the immediate gains within their tenure , the organization ’s view is   long term , way beyond the lifetime of the product that it provides its customers as the feedback has   a bearing on its brand image . Hence , what is used as a metric should address needs at varying level   and across a long time frame . The chosen metric should articulate the effectiveness of automation to   be accepted across a range of stakeholders .     Selection Selection Selection Selection      From a wide variety of metrics recommended by industry experts , I had a problem of plenty – to   choose the most relevant and most effective metrics . While each metric had its own merit , the means   of recording and ease of reporting given the different systems of record used across the organization   and customers differed hugely . To address this challenge , I sought inputs from the major programs   across the organization , thus ensuring the adequacy of data quantity . Seeking the reports in their   current form helped me to allay the doubts on their quality , as these reports have been accepted by   both our organization and our customers . With the data in hand , I had all the inputs to identify a set   of effective and acceptable metrics . To ensure that I was not affected by confirmation bias , I   presented my proposal – the what ifs ? – to the experts who have experience in working both with   the programs and the executives in the organization . This exercise helped me to distill my findings   and present a refined and succinct list – which has wowed the stakeholders .       Experi Experi Experi Experience and outcome ence and outcome ence and outcome ence and outcome 

 Using mind mapping as a technique proved to be an effective tool to pouring out my thoughts and   findings into one huge set of possibilities and the associated pros and cons . It helped me draw   comparison of all the metrics , providing me a view of patterns across the way they are measured ,   recorded and reported . This technique provided me insights into the differences and commonalities   across different programs and also provided me with an overview of the challenges and opportunities   all in single view . Even as I was aware of mind mapping , this experience opened up a new horizon of   its applicability . Learning how to effectively launch a pilot helped me to finalize the most effective   metrics by engaging groupthink and avoid confirmation bias . I am now confident that my proposal   will serve the need of programs and of the organization alike . The ease of measurement and reporting   for the programs and for the organization , to showcase the success of its automation strategy will   assure the customer ’s delight and look forward for more business . The course helped me look into   applying design thinking in a way I could n’t imagine .
### Output: 