Mind Mapping 

 Looking for patterns and themes in data 

 Customer Complain Case : Excessive dust on granular product for agricultural applications 

 Challenge 

 I work for a chemical company that manufactures a variety of products , including granular product as   agricultural micronutrients . We have recently received lots of customer complains on one of the   product we sale . The product is for agricultural application and it should be a granular product with   minimum amount of dust . Unfortunately , the customer found recently that the granular product had   excessive amount of dust . Complains are becoming a big issue for the company , which can lead to   unhappy customer switching to a competitor and potential of substantial revenues losses for our   company . The source of the dust is not known and several attempts to resolve this issue have not   been successful so far . The source of the problem can be anywhere from the manufacturing process ,   product conveying , packaging , transportation to international warehouses and customer handling . The   challenge was to find the source of the problem and develop a solution . 

 Selection 

 I strongly believe that Mind Mapping can be the best tool that can help us to effectively process huge   information available . There is plenty of information such as years of quality control data ,   manufacturing process data , transportation and handling of the shipped product and customer   complain and testing on the product . Mind Mapping will help us process all the abundant data in an   organized and meaningful way , allowing the active participation of the stakeholders to capture their   feedback with the aim of narrowing down the most critical sources of the problem so that it can be   translated into hypothesis that can be then tested . 

 In reference to Darton professor , Marian Moore lecture : the steps that we will follow will be hold a yard   sale , invite shoppers , offer tours , pick up the good stuff , cluster the good stuff , identify the insights   related to each cluster / connectivity , translate into design criteria for the what if . Then we should moving   onto possible solutions . 

 Application 

 A wall in one of our meeting rooms was assigned to display the data to be collected . We started the   process by collecting all the relevant information and put them on the wall in large posters . Quality   control data for the manufacturing process and shipping / packaging have been pulled out and   processed to create charts with information about the amount of dust measured on the product . This   data was combined with customer complain data , trying to match these two based on lot numbers . In   addition , manufacturing process data was compiled and put them in chart forms . Pictures of product   sent by the customers were placed on the wall as well . Videos collected from the customer complains   were played on a computer on top of a table next to the wall . Pictures of the different sections of the   manufacturing process together with process flow diagrams were placed on the wall . Shipping and   packaging process pictures together with sampling data were also collected and displayed . Picture of   product transportation to the distributors and warehouse were also gathered and placed on the wall . 

 With all the information on the wall , we invited stakeholders from quality control team , manufacturing   process team including management and operators , transportation team , and finally commercial and   sales team . We have asked the stakeholders to go through the information and write down on sticky 

 notes their thoughts about potential factors that could be driving the dust issue on the product . All the   sticky notes were placed on the adjacent wall . Then , one member of our team , red aloud the content   of the sticky not one by one and attempted to put similar ideas into cluster . Outliers were not ignored .   Then as a group , the main idea around each cluster of sticky notes were identified . This helped us to   generate insight statements . Then there was an attempt to connect the insight statements and   generate design solutions . These possible solutions were later tested and results were analyzed . We   are currently in the iterative process and checking if the proposed solutions were critical in solving the   dusting issue . 

 Insight 

 What I have learned from this exercise working with the stakeholders from different background and   experience , that mind mapping can be a powerful tool in processing large amount of data and   systematically develop insights that can finally help to develop solution / solutions to the problem of dust   in one of our products . The important aspect I have observed is that the stakeholders were able to   share their insights and with open mind , they were able to effectively contribute to the development of   solutions . Having large posters and information in graphical form helped a lot and allowed the   stakeholders to go through the large information that was shared . 

 Approach 

 Large information available can be overwhelming , especially when trying to put them in a concise and   meaningful way while capturing the essence of the information . We received some feedback from   stakeholders and apparently , some information was not easily digestible . For our case , a team of core   people put together the information . On this respect , since this was our first time employing this   method , in some cases , the information displayed on the wall may not have been clear enough for the   stakeholders . This may have happened due to lack of communication / coordination within the core   team . Next time I would emphasize a better coordination / communication / discussion within the core   team , maybe even review the posters , etc . together , mockup presentation , etc .   Also combining Mind   Mapping with other technique such as visualization may enhance this process . 


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: Mind Mapping 

 Looking for patterns and themes in data 

 Customer Complain Case : Excessive dust on granular product for agricultural applications 

 Challenge 

 I work for a chemical company that manufactures a variety of products , including granular product as   agricultural micronutrients . We have recently received lots of customer complains on one of the   product we sale . The product is for agricultural application and it should be a granular product with   minimum amount of dust . Unfortunately , the customer found recently that the granular product had   excessive amount of dust . Complains are becoming a big issue for the company , which can lead to   unhappy customer switching to a competitor and potential of substantial revenues losses for our   company . The source of the dust is not known and several attempts to resolve this issue have not   been successful so far . The source of the problem can be anywhere from the manufacturing process ,   product conveying , packaging , transportation to international warehouses and customer handling . The   challenge was to find the source of the problem and develop a solution . 

 Selection 

 I strongly believe that Mind Mapping can be the best tool that can help us to effectively process huge   information available . There is plenty of information such as years of quality control data ,   manufacturing process data , transportation and handling of the shipped product and customer   complain and testing on the product . Mind Mapping will help us process all the abundant data in an   organized and meaningful way , allowing the active participation of the stakeholders to capture their   feedback with the aim of narrowing down the most critical sources of the problem so that it can be   translated into hypothesis that can be then tested . 

 In reference to Darton professor , Marian Moore lecture : the steps that we will follow will be hold a yard   sale , invite shoppers , offer tours , pick up the good stuff , cluster the good stuff , identify the insights   related to each cluster / connectivity , translate into design criteria for the what if . Then we should moving   onto possible solutions . 

 Application 

 A wall in one of our meeting rooms was assigned to display the data to be collected . We started the   process by collecting all the relevant information and put them on the wall in large posters . Quality   control data for the manufacturing process and shipping / packaging have been pulled out and   processed to create charts with information about the amount of dust measured on the product . This   data was combined with customer complain data , trying to match these two based on lot numbers . In   addition , manufacturing process data was compiled and put them in chart forms . Pictures of product   sent by the customers were placed on the wall as well . Videos collected from the customer complains   were played on a computer on top of a table next to the wall . Pictures of the different sections of the   manufacturing process together with process flow diagrams were placed on the wall . Shipping and   packaging process pictures together with sampling data were also collected and displayed . Picture of   product transportation to the distributors and warehouse were also gathered and placed on the wall . 

 With all the information on the wall , we invited stakeholders from quality control team , manufacturing   process team including management and operators , transportation team , and finally commercial and   sales team . We have asked the stakeholders to go through the information and write down on sticky 

 notes their thoughts about potential factors that could be driving the dust issue on the product . All the   sticky notes were placed on the adjacent wall . Then , one member of our team , red aloud the content   of the sticky not one by one and attempted to put similar ideas into cluster . Outliers were not ignored .   Then as a group , the main idea around each cluster of sticky notes were identified . This helped us to   generate insight statements . Then there was an attempt to connect the insight statements and   generate design solutions . These possible solutions were later tested and results were analyzed . We   are currently in the iterative process and checking if the proposed solutions were critical in solving the   dusting issue . 

 Insight 

 What I have learned from this exercise working with the stakeholders from different background and   experience , that mind mapping can be a powerful tool in processing large amount of data and   systematically develop insights that can finally help to develop solution / solutions to the problem of dust   in one of our products . The important aspect I have observed is that the stakeholders were able to   share their insights and with open mind , they were able to effectively contribute to the development of   solutions . Having large posters and information in graphical form helped a lot and allowed the   stakeholders to go through the large information that was shared . 

 Approach 

 Large information available can be overwhelming , especially when trying to put them in a concise and   meaningful way while capturing the essence of the information . We received some feedback from   stakeholders and apparently , some information was not easily digestible . For our case , a team of core   people put together the information . On this respect , since this was our first time employing this   method , in some cases , the information displayed on the wall may not have been clear enough for the   stakeholders . This may have happened due to lack of communication / coordination within the core   team . Next time I would emphasize a better coordination / communication / discussion within the core   team , maybe even review the posters , etc . together , mockup presentation , etc .   Also combining Mind   Mapping with other technique such as visualization may enhance this process .
### Output: 