REVISON PROCESS – LEARNING LAUNCH 

 CHALLENGE 

 I lead the Operations of a start - up media company focused in making short movie contents at YouTube .   The start - up company is composed of all remote workers and uses Slack and ClickUp software applications   in communicating updates and project progress . 

    The Target : Produce and publish 4 video content each week ( 1 for each editor ) . 

    The Challenge :   Reduce video revisions up to 1 only to meet the target weekly outputs . 

 The project scope includes 1 Operations Lead to facilitate the workflow , 1 Production Lead to review and   approve content produced , and 4 Video Editors to create content based on concept direction . All of the   team members are remote workers . 

 The project should not exceed than 30 business days to have ample time to provide a solution and discover   inefficiencies in repeatative revisions that causes delay in the production output per week . 

 SELECTION 

 We have already developed a general guidelines for the video standards , targets , and coordinated with   the Video Editor ’s through video conference the problems they are encountering with the process . These   allowed us to gather insights and see from their perspective the bottlenecks that are present with our   implemented guide and workflow . 

 The common problem gathered is feedbacks are not properly communicated since all the teams are   working remotely compared to face - to - face discussions . This allowed us to proceed to make a learning   launch to test the hyphotetical solution . Additionally as stated in Week 4 : Learning a Launch Tool , it is   better to do lots of experiments rather than making a business plan . Simply because learning launches   tests execution and assumptions in a fast efficient way and enables you to pivot in the right direction   based on the output . 

 APPLICATION 

 For our initial learning launch , I asked the Production Lead and the Video Editor the usual revisions they   encounter to compile both sides from the approval side and creation side . This will enable both parties to   have transparency and efficiency in the workflow . 

 We created a table for the Video Editor to input the issues on revision and the Production Lead to put   potential solutions to the issues : 

 VIDEO EDITOR   PRODUCTION LEAD 

 REVISIONS ARE NOT DEFINED CLEARLY   INDICATE TIMESTAMPS ON PARTS TO REVISE 

 REVISIONS INCLUDES PAST REVISIONS ALREADY   HAVE A TRACKING ON REVISIONS ALREADY MADE 

 NO PROPER COMMUNICATION TOOL IN REVISION FIND A PLATFORM TO CONSOLIDATE REVISIONS 

 For the next phase of the learning launch , we looked for a software that meets the needs of the Video   Editor and Production Lead . The inputs they gave will be the criteria in filtering the software to use rather   than just picking any video editing or collaborative software based on popularity or ranking . 

 We have picked Frame . IO as it matches the criteria . It has the following features of setting status for   uploaded videos , creating review links to allow easy access , add comments specifically on timestamps of   the video for clearer feedback , have a separate review panel that consolidates all comments , and   integrates in Slack for any updates or comments placed . We then started onboarding the 4 Video Editors   on how the software functions and to upload their video in it to test improvements in the revision process . 

 A validation of 0 to 30 days will be applied to check the efficiency of the software and provides the solution   needed . 

 INSIGHT 

 Upon application of the learning launch and using Frame . IO , it produced the following results : 

    Managed revisions up to 1 as feedback from the Production Lead are detailed and partnered with   visual descriptions supported by the software . 

    Video quality of video editors were able to meet the target 4 videos per week ( 1 video per editor )   as all feedbacks are consolidated , supported with visual timestamps , and defined parts to revise . 

 In conclusion , this improved the workflow of our video editors and enabled to meet the target content to   publish by 4 in a week . Additionally , this developed the quality of output and foster teamwork and   efficient communication considering the company are all remote employees . We have also maximized the   current technology tools we are using , which is Slack , as a tool to update progress since it seamleslly   integrates with Frame . IO . 

 APPROACH 

 Given the outstanding results and improvements we have seen on the execution of te learning launch , we   will use this process and update our general guidelines to document the process for the team ’s reference   and for new video editors and production lead that will onboard the team in the future . 

 A feedback loop will be created to monitor the progress and feedback on the production team and adapt   to new changes as the company grows . 


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: REVISON PROCESS – LEARNING LAUNCH 

 CHALLENGE 

 I lead the Operations of a start - up media company focused in making short movie contents at YouTube .   The start - up company is composed of all remote workers and uses Slack and ClickUp software applications   in communicating updates and project progress . 

    The Target : Produce and publish 4 video content each week ( 1 for each editor ) . 

    The Challenge :   Reduce video revisions up to 1 only to meet the target weekly outputs . 

 The project scope includes 1 Operations Lead to facilitate the workflow , 1 Production Lead to review and   approve content produced , and 4 Video Editors to create content based on concept direction . All of the   team members are remote workers . 

 The project should not exceed than 30 business days to have ample time to provide a solution and discover   inefficiencies in repeatative revisions that causes delay in the production output per week . 

 SELECTION 

 We have already developed a general guidelines for the video standards , targets , and coordinated with   the Video Editor ’s through video conference the problems they are encountering with the process . These   allowed us to gather insights and see from their perspective the bottlenecks that are present with our   implemented guide and workflow . 

 The common problem gathered is feedbacks are not properly communicated since all the teams are   working remotely compared to face - to - face discussions . This allowed us to proceed to make a learning   launch to test the hyphotetical solution . Additionally as stated in Week 4 : Learning a Launch Tool , it is   better to do lots of experiments rather than making a business plan . Simply because learning launches   tests execution and assumptions in a fast efficient way and enables you to pivot in the right direction   based on the output . 

 APPLICATION 

 For our initial learning launch , I asked the Production Lead and the Video Editor the usual revisions they   encounter to compile both sides from the approval side and creation side . This will enable both parties to   have transparency and efficiency in the workflow . 

 We created a table for the Video Editor to input the issues on revision and the Production Lead to put   potential solutions to the issues : 

 VIDEO EDITOR   PRODUCTION LEAD 

 REVISIONS ARE NOT DEFINED CLEARLY   INDICATE TIMESTAMPS ON PARTS TO REVISE 

 REVISIONS INCLUDES PAST REVISIONS ALREADY   HAVE A TRACKING ON REVISIONS ALREADY MADE 

 NO PROPER COMMUNICATION TOOL IN REVISION FIND A PLATFORM TO CONSOLIDATE REVISIONS 

 For the next phase of the learning launch , we looked for a software that meets the needs of the Video   Editor and Production Lead . The inputs they gave will be the criteria in filtering the software to use rather   than just picking any video editing or collaborative software based on popularity or ranking . 

 We have picked Frame . IO as it matches the criteria . It has the following features of setting status for   uploaded videos , creating review links to allow easy access , add comments specifically on timestamps of   the video for clearer feedback , have a separate review panel that consolidates all comments , and   integrates in Slack for any updates or comments placed . We then started onboarding the 4 Video Editors   on how the software functions and to upload their video in it to test improvements in the revision process . 

 A validation of 0 to 30 days will be applied to check the efficiency of the software and provides the solution   needed . 

 INSIGHT 

 Upon application of the learning launch and using Frame . IO , it produced the following results : 

    Managed revisions up to 1 as feedback from the Production Lead are detailed and partnered with   visual descriptions supported by the software . 

    Video quality of video editors were able to meet the target 4 videos per week ( 1 video per editor )   as all feedbacks are consolidated , supported with visual timestamps , and defined parts to revise . 

 In conclusion , this improved the workflow of our video editors and enabled to meet the target content to   publish by 4 in a week . Additionally , this developed the quality of output and foster teamwork and   efficient communication considering the company are all remote employees . We have also maximized the   current technology tools we are using , which is Slack , as a tool to update progress since it seamleslly   integrates with Frame . IO . 

 APPROACH 

 Given the outstanding results and improvements we have seen on the execution of te learning launch , we   will use this process and update our general guidelines to document the process for the team ’s reference   and for new video editors and production lead that will onboard the team in the future . 

 A feedback loop will be created to monitor the progress and feedback on the production team and adapt   to new changes as the company grows .
### Output: 