Learning Launch for Annual Review Process 

 Challenge 

 Every year my team completes a months - long review process of international trade data . In the five   years I have been working on it , this process has remained unchanged . This year , not only are we short a   team member due to a vacancy , but we also have a brand new project that will be competing for time   and resources during the annual review . Our challenge is to try to make our annual review process more   efficient both with time and resources . 

 Selection 

 Because we have been aware of and preparing for this issue , our team has already come up with   multiple ideas for getting all of the work done with less resources . These range from ideas like tightening   the schedule , having team members work concurrently on different projects and even pulling resources   from other teams .   Because we have a lot of ideas to sort through and not a lot of time until the review   starts , we will try learning launches in order to test solutions quickly . In our case , our “ customers ” are   not traditional customers ,   but other employees of the organization who compile or otherwise use our   data . 

 Application 

 For our first learning launch we focused on the project ’s schedule .   We created process flows , including   durations and dependencies , based on past reviews . By mapping out the entire process , and inviting   feedback from the other areas of the organization that use our data , we were able to identify tasks that   could be processed more quickly or concurrently . Because all of our stakeholders were involved , any   problematic schedule changes ( like unrealistic durations , unavailability of inputs ) were identified and   avoided right away . 

 Our second learning launch was a prioritization of the work . Our annual review consists of three data   phases- preliminary , final and revised . Each phase has a similar process but emphasis is placed on   different tasks for different phases of data . We conducted a brain storming with another area that does   similar work and applied their process to our data , where applicable . We then met with stakeholders to   present these ideas and efficiencies to get feedback . 

 Insight and Approach 

 By going through the learning launch , we were able to reject a lot of ideas quickly and cheaply and gain   more insight into how we should redesign our review process . We realized a lot of the team was doing   redundant work . It was also clear that our schedule is dependent on other divisions and we were better   off keeping our schedule similar but designating time to work on other projects during downtime . This   allows less people to complete the same work and also allows for a few team members to devote time   to other projects . 


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: Learning Launch for Annual Review Process 

 Challenge 

 Every year my team completes a months - long review process of international trade data . In the five   years I have been working on it , this process has remained unchanged . This year , not only are we short a   team member due to a vacancy , but we also have a brand new project that will be competing for time   and resources during the annual review . Our challenge is to try to make our annual review process more   efficient both with time and resources . 

 Selection 

 Because we have been aware of and preparing for this issue , our team has already come up with   multiple ideas for getting all of the work done with less resources . These range from ideas like tightening   the schedule , having team members work concurrently on different projects and even pulling resources   from other teams .   Because we have a lot of ideas to sort through and not a lot of time until the review   starts , we will try learning launches in order to test solutions quickly . In our case , our “ customers ” are   not traditional customers ,   but other employees of the organization who compile or otherwise use our   data . 

 Application 

 For our first learning launch we focused on the project ’s schedule .   We created process flows , including   durations and dependencies , based on past reviews . By mapping out the entire process , and inviting   feedback from the other areas of the organization that use our data , we were able to identify tasks that   could be processed more quickly or concurrently . Because all of our stakeholders were involved , any   problematic schedule changes ( like unrealistic durations , unavailability of inputs ) were identified and   avoided right away . 

 Our second learning launch was a prioritization of the work . Our annual review consists of three data   phases- preliminary , final and revised . Each phase has a similar process but emphasis is placed on   different tasks for different phases of data . We conducted a brain storming with another area that does   similar work and applied their process to our data , where applicable . We then met with stakeholders to   present these ideas and efficiencies to get feedback . 

 Insight and Approach 

 By going through the learning launch , we were able to reject a lot of ideas quickly and cheaply and gain   more insight into how we should redesign our review process . We realized a lot of the team was doing   redundant work . It was also clear that our schedule is dependent on other divisions and we were better   off keeping our schedule similar but designating time to work on other projects during downtime . This   allows less people to complete the same work and also allows for a few team members to devote time   to other projects .
### Output: 