Effective use of Focus Finder is critical to effective execution of the Program Manger (PM) role.  It helps ensure that they are dedicating their efforts where they are most needed, prevents pairs that don't obviously need support from "falling through the cracks"  and helps to evenly distribute efforts across their caseload.  The key to proficient use of the Focus Finder is partly built on a thorough understanding of the filters built into the interface.  Each of the filters is described below.

• Mentee Completion % - By using the sliders on either end of the filter, the PM will limit the pairs displayed based on the percentage of lessons the mentee has completed within the program year.  (i.e., If the PM slides the right filter to 64 and the left slider to 55, all pairs displayed will have a lesson completion frequency of 55% - 64%.  This results in a list of pairs in which the mentee is almost meeting the benchmark of 65%)   
• Mentor Completion % - This filter works exactly like the Mentee Completion % filter, but will limit displayed pairs by the frequency of lessons the mentor has completed within the program year.
• Mentee or Mentor Completed More Lessons - This filter is used to quickly identify mentees that are outperforming their mentor or vice versa.  It can also be used to identify pairs that have completed the exact same number of lessons.
• Pair Completion % - This filter works exactly like the Mentee Completion % filter, but will limit displayed pairs by the frequency of lessons the mentee AND mentor have both completed within the program year.  
• In-Person Meetings - By using the slider on either end of the filter, the PM will limit the pairs displayed based on the number of in-person meetings pairs have completed within the program year.  (i.e., If the PM slides the right filter to 2 and leaves the left filter at 0, all pairs displayed will have not met, met once or met twice to date.  This results in a list of pairs that may not have met as often as they should, based on the PM's discretion.)  Again, it is worth noting that the numerical values themselves can be clicked on and edited using the keyboard as well.
• Mentee Touch Points - By using the sliders on either end of the filter, the PM will limit the pairs displayed based on the number of touch points mentees have received.  (i.e., If the PM slides the right filter to 1 and leaves the left filter at 0, all pairs displayed will have mentees that have zero or one touch point.  This results in a list of pairs the PM might like to focus on as the mentees in each has received no touch points or one touch point against the programmatic goal of three.)  Again, it is worth noting that the numerical values themselves can be clicked on and edited using the keyboard as well.
• Mentor Touch Points - This filter works exactly like the Mentee Touch Points filter, but will limit displayed pairs by the number of touch points the mentor has received.
• Meeting Lesson Benchmark - This drop-down filter quickly limits the pairs displayed based on whether or not they are meeting the programmatic benchmark of completion 65% of lessons which they were assigned.  (i.e., If the PM selects "Not Meeting Lesson Benchmark," all pairs displayed will be below the 65% threshold.)  This filter is best used in concert with other filters.  (i.e., If the PM selects "Not Meeting Lesson Benchmark" as well as limits the Mentor Touch Points filter to 0, all pairs displayed will not be meeting lesson benchmark AND involve a mentor that has not received any touch points.  In this case, the PM is using multiple criteria to ensure the "biggest bang for their buck" when it comes to providing support.)
• Meeting In-Person Benchmark - This drop-down filter works exactly like the Meeting Lesson Benchmark filter, but instead limits the pairs displayed based on whether or not they are meeting the current in-person meeting benchmark for the cohort.  Again, this filter is best used in concert with other filters.
• Meeting Both Benchmarks - This drop-down filter works exactly like the Meeting Lesson Benchmark filter, but instead limits the pairs displayed based on whether or not they are meeting the lesson benchmark of 65% AS WELL AS the current in-person meeting benchmark for the cohort.  Using this filter by itself identifies pairs that are struggling in both areas of programmatic engagement.