Key stakeholder: @jjhampton

Pain points from our discussion on 10/5/2017 around mentor management:

• Assigning new mentees to a mentor in a timely fashion:
  • Goal is for a mentee to have a response from a mentor within 24-48 hours, once a mentor service request is made.
  • To notify mentors of a request, we currently rely on:
    • Slackbot that posts one-time to the #mentors-internal channel when a request is made. This requires mentors to actively monitor the #mentors-internal channel.
    • Volunteers who manually scan the Airtable sheet on a semi-regular basis to see if there are outstanding requests.
  • The above options are not ideal. They open the possibility for requests to slip through the cracks and go unfulfilled. (this has happened before)
• Monitoring the state/progress of the mentor/mentee experience:
  • How can we easily track when a mentor service request is fulfilled? Currently we rely on mentors manually entering this data on Airtables, which rarely happens.
  • How can we track the progress of mentees in a quantifiable way? We should aim to automate the gathering of data on:
    • How many mentees we've helped?
    • Which mentees have progressed to a new level of expertise?
• Track active mentors:
  • Our Airtable sheet currently lists 82 people who have signed up as mentors. In order for our volunteers to easily match incoming mentees -> mentors, we need to be able to filter this list to identify which of these are active mentors that have capacity / willingness to help mentees.