Learning launch 

 Challenge 

 Allow me to introduce myself , my name is Francesco and I am the ICT manager in my organization .   My native language is Spanish . 

 Recently , the human resources sector raised the need to automate the process of registration   of interested to a roster of consultants . Currently the procedure is done manually , registering   in an electronic spreadsheet , the information provided by each of the interested parties by   email . This project must be ready in about 20 or 30 days . To define the scope , we met with the   human resources managers ( 2 officials ) , who generally process the information that arrives by   mail in documents . Given the brief period to find a solution and proximity to its launch , we will   try to narrow the scope . We will focus on automating this process , to obtain a database with   the necessary information . This will allow searching and classifying the specialists who apply . It   will be necessary to use a corporate development tool with an agile methodology to obtain   results quickly . 

 Selection 

 In the first instance , we analyze the current process with the human resources team , through   the " Mind Mapping " tool , we identify the difficulties generated in the data processing . In   second instance , to obtain the user 's vision , we conducted 20 interviews to possible   " postulants " . That information was added to the previous " Mind Mapping " . Then define the   problem , we delimit the minimum scope of the prototype , considering the resources and the   short term to go to production . The technique that we decided to use " learning launch " , can   quickly give us a formed idea and a functional prototype in the agreed term . 

 Application 

 In our first learning launch , the web form was structured and the minimum data required by   the applicant was defined . We wanted to define the relevant data of the applicant , to speed   up the registration process to our roster of specialists / consultants and their subsequent   classification . For that , we carried out , within the first 10 days , 2 meetings of exchange of   opinions with those who interview , select and hire the applicants , experts in specific areas . 

 In our second " learning launch " we focus on optimizing the processing of information from the   registration forms and the CVs attached by the applicants . The automation of these processes   is essential to improve the productivity of the tool . We meet with Human Resources to clarify   roles and tasks ( analysis of the CV and approval of roster registration ) when processing the   information of the applicants . The clarity and agility of the procedure are consulted , depending   on the structure of the form and the relevance of the data requested . With this , it is possible   to optimize the automation of the registration process , cv request by email to the applicant ,   for a later approval of both , CV and data entered on the web registration form . In this way , the   prototype will allow the search of specialists according to the defined criteria . 

 Today we are already planning a third stage to continue refining / improving our system and   adding necessary functionalities for future stages . 

 Insight 

 When applying the " learning launch " tool , our team identified that by automating the   registration process through WEB forms and sending the CV by Email , the possibility of   facilitating data entry and processing thereof . Because of the meetings and interviews   conducted , the process was optimized , rejecting obsolete data and establishing the minimum   data necessary for a better classification of the applicant specialists . Validating through   mandatory fields that enter all the required data , consequently obtaining a more complete   database . This allows greater efficiency and effectiveness in the validation of applications to   the Roster of specialists . 

 Approach 

 After the complete implementation of the tool , it is visualized as progress from the manual   registration of the information of the applicants ( received by mail in Word format and   organized in Excel spreadsheets ) to its automation by recording relevant data , previously   discussed and defined , in a web form and the CV enclosed by mail . 

 We believe that our team adapted to this new way of working that tries to clarify procedures ,   validate or quickly dismiss the assumptions based on the information obtained . It is the main   advantage of using a tool as a " learning launch " that is complemented with agile   methodologies , approving that in our meetings important results can be obtained in a brief   time . 

 We managed to comply with the project time , obtaining a functional prototype developed   with corporate tools , avoiding extra costs in our budget . 

 Based on this experience , we believe that future designs can be improved if this methodology   continues to be applied to obtain a definitive version that satisfies all the parties involved . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: Francesco
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: Learning launch 

 Challenge 

 Allow me to introduce myself , my name is Francesco and I am the ICT manager in my organization .   My native language is Spanish . 

 Recently , the human resources sector raised the need to automate the process of registration   of interested to a roster of consultants . Currently the procedure is done manually , registering   in an electronic spreadsheet , the information provided by each of the interested parties by   email . This project must be ready in about 20 or 30 days . To define the scope , we met with the   human resources managers ( 2 officials ) , who generally process the information that arrives by   mail in documents . Given the brief period to find a solution and proximity to its launch , we will   try to narrow the scope . We will focus on automating this process , to obtain a database with   the necessary information . This will allow searching and classifying the specialists who apply . It   will be necessary to use a corporate development tool with an agile methodology to obtain   results quickly . 

 Selection 

 In the first instance , we analyze the current process with the human resources team , through   the " Mind Mapping " tool , we identify the difficulties generated in the data processing . In   second instance , to obtain the user 's vision , we conducted 20 interviews to possible   " postulants " . That information was added to the previous " Mind Mapping " . Then define the   problem , we delimit the minimum scope of the prototype , considering the resources and the   short term to go to production . The technique that we decided to use " learning launch " , can   quickly give us a formed idea and a functional prototype in the agreed term . 

 Application 

 In our first learning launch , the web form was structured and the minimum data required by   the applicant was defined . We wanted to define the relevant data of the applicant , to speed   up the registration process to our roster of specialists / consultants and their subsequent   classification . For that , we carried out , within the first 10 days , 2 meetings of exchange of   opinions with those who interview , select and hire the applicants , experts in specific areas . 

 In our second " learning launch " we focus on optimizing the processing of information from the   registration forms and the CVs attached by the applicants . The automation of these processes   is essential to improve the productivity of the tool . We meet with Human Resources to clarify   roles and tasks ( analysis of the CV and approval of roster registration ) when processing the   information of the applicants . The clarity and agility of the procedure are consulted , depending   on the structure of the form and the relevance of the data requested . With this , it is possible   to optimize the automation of the registration process , cv request by email to the applicant ,   for a later approval of both , CV and data entered on the web registration form . In this way , the   prototype will allow the search of specialists according to the defined criteria . 

 Today we are already planning a third stage to continue refining / improving our system and   adding necessary functionalities for future stages . 

 Insight 

 When applying the " learning launch " tool , our team identified that by automating the   registration process through WEB forms and sending the CV by Email , the possibility of   facilitating data entry and processing thereof . Because of the meetings and interviews   conducted , the process was optimized , rejecting obsolete data and establishing the minimum   data necessary for a better classification of the applicant specialists . Validating through   mandatory fields that enter all the required data , consequently obtaining a more complete   database . This allows greater efficiency and effectiveness in the validation of applications to   the Roster of specialists . 

 Approach 

 After the complete implementation of the tool , it is visualized as progress from the manual   registration of the information of the applicants ( received by mail in Word format and   organized in Excel spreadsheets ) to its automation by recording relevant data , previously   discussed and defined , in a web form and the CV enclosed by mail . 

 We believe that our team adapted to this new way of working that tries to clarify procedures ,   validate or quickly dismiss the assumptions based on the information obtained . It is the main   advantage of using a tool as a " learning launch " that is complemented with agile   methodologies , approving that in our meetings important results can be obtained in a brief   time . 

 We managed to comply with the project time , obtaining a functional prototype developed   with corporate tools , avoiding extra costs in our budget . 

 Based on this experience , we believe that future designs can be improved if this methodology   continues to be applied to obtain a definitive version that satisfies all the parties involved .
### Output: 