REFLECTION - VISUALIZATION & 

 ETHNOGRAPHY 

 Challenge 

 As a college trainee , I had my internship in a process industry under the Industrial Engineering   Department . Compared to product industries , process industries have a less efficient process   flow as it is highly craftsmen dependent . This basic quality adds a human centric approach to   the overall productivity and efficiency of the organization . Luckily , As an intern itself , i was   assigned a project to enhance the efficiency of a production line with high value generation to   the organization . On analysing the historic data . I found a lot of discrepancies , the data was   focussed more on quantity , than quality . Which made me reluctant to use this data as the   source of my further actions , and I decided to conduct a deep study of the production line on my   own and to visualize it . 

 Selection 

 To complete the challenge , a greater insight was needed in the day to day difficulties faced by   the shop floor operators and possible improvements possible , for this reason , Ethnography   design tool was chosen .    ​Ethnography is a qualitative research method used in design thinking and other    human - centered design disciplines . Ethnography takes three forms : observation , immersion    and engagement . With observation you get the most “ realistic ” data as you ’re observing    what people are actually doing , not what they say they would do . Immersion puts you into    the experience so that you can become part of what you ’re interacting with and collect data    accordingly . And finally , engagement allows you to interact with people typically    interviewing them to have a conversation around what you ’re interested in .    The insights gathered through ethnography are used to analyze the problem and many    times reframe it allowing you to solve these problems through human - centered design .    ( VIDEO REFERENCE- the good kitchen story )    This was then put in tabular and graphical formats to help visualize the data effectively and    reach to elaborate conclusions . 

 Application 

 The production line consisted of 10 production cells , with 25 operators . The first step was to   befriend the operators in order to get more insights regarding the production line . It was   observed that there existed a large number of hidden , unspoken practices in every production   cell . 

 My next step was to shadow every operator and observe their daily routines . I then prepared a   format to record their daily behaviors . This was followed by a questionnaire on what problems   they faced and what improvements would they suggest . A happy worker would directly imply   better production by the virtue of the nature of the industry .   I intended on eliminating waste practices along with ergonomics to increase the production line   efficiency . 

 Insight 

 By applying the The ethnography design tool and visualization , i was able to gather substantial   insights to carry out the changes that would impact the production line greatly . The insights   were as follows:-     Unlike the previous data , the new data showed a completely different approach . The previous   data showed that high time consuming cells should be targeted , but it was now   found that   although higher time consuming , the red cluster cells ( shown in the charts ) are contributing to   more “ non - value added ” time , compared to the other cells . Hence it was concluded that these   cells should be taken into consideration to improve the efficiency of the line . 

 These insights were only possible as the operators gave perfect direction as to what the root   cause of inefficiency was . 

 Approach 

 Given that my team had already gone through several design thinking activities / tools and were   at this stage in the timeline , the ethnography tool with visualization is the appropriate tool . Now   the department needs to review the insight gained from the research and incorporate this insight   into efficiency improvement decisions in Future . Next step would be to have learning launches   to validate the insight , or form new one . 


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 - VISUALIZATION & 

 ETHNOGRAPHY 

 Challenge 

 As a college trainee , I had my internship in a process industry under the Industrial Engineering   Department . Compared to product industries , process industries have a less efficient process   flow as it is highly craftsmen dependent . This basic quality adds a human centric approach to   the overall productivity and efficiency of the organization . Luckily , As an intern itself , i was   assigned a project to enhance the efficiency of a production line with high value generation to   the organization . On analysing the historic data . I found a lot of discrepancies , the data was   focussed more on quantity , than quality . Which made me reluctant to use this data as the   source of my further actions , and I decided to conduct a deep study of the production line on my   own and to visualize it . 

 Selection 

 To complete the challenge , a greater insight was needed in the day to day difficulties faced by   the shop floor operators and possible improvements possible , for this reason , Ethnography   design tool was chosen .    ​Ethnography is a qualitative research method used in design thinking and other    human - centered design disciplines . Ethnography takes three forms : observation , immersion    and engagement . With observation you get the most “ realistic ” data as you ’re observing    what people are actually doing , not what they say they would do . Immersion puts you into    the experience so that you can become part of what you ’re interacting with and collect data    accordingly . And finally , engagement allows you to interact with people typically    interviewing them to have a conversation around what you ’re interested in .    The insights gathered through ethnography are used to analyze the problem and many    times reframe it allowing you to solve these problems through human - centered design .    ( VIDEO REFERENCE- the good kitchen story )    This was then put in tabular and graphical formats to help visualize the data effectively and    reach to elaborate conclusions . 

 Application 

 The production line consisted of 10 production cells , with 25 operators . The first step was to   befriend the operators in order to get more insights regarding the production line . It was   observed that there existed a large number of hidden , unspoken practices in every production   cell . 

 My next step was to shadow every operator and observe their daily routines . I then prepared a   format to record their daily behaviors . This was followed by a questionnaire on what problems   they faced and what improvements would they suggest . A happy worker would directly imply   better production by the virtue of the nature of the industry .   I intended on eliminating waste practices along with ergonomics to increase the production line   efficiency . 

 Insight 

 By applying the The ethnography design tool and visualization , i was able to gather substantial   insights to carry out the changes that would impact the production line greatly . The insights   were as follows:-     Unlike the previous data , the new data showed a completely different approach . The previous   data showed that high time consuming cells should be targeted , but it was now   found that   although higher time consuming , the red cluster cells ( shown in the charts ) are contributing to   more “ non - value added ” time , compared to the other cells . Hence it was concluded that these   cells should be taken into consideration to improve the efficiency of the line . 

 These insights were only possible as the operators gave perfect direction as to what the root   cause of inefficiency was . 

 Approach 

 Given that my team had already gone through several design thinking activities / tools and were   at this stage in the timeline , the ethnography tool with visualization is the appropriate tool . Now   the department needs to review the insight gained from the research and incorporate this insight   into efficiency improvement decisions in Future . Next step would be to have learning launches   to validate the insight , or form new one .
### Output: 