Attendees: Greg, Rocky

Notes:

• Action Items:

  • Analytics Repo: https://github.com/sfbrigade/analytics
  • Rocky: experiment with Slack API, goal to directly pull data from slack
    • Getting Started
  • Greg: Meetup API
  • Greg: Bring someone on board
  • Greg and Rocky: Set up Airtable Base, Greg dump in raw data, Rocky to dump in Correlated data between meetup and slack

• Diversity and Inclusion

  • Code for America Survey
    • Missing sexuality
    • Suprising results on income

• Business Questions

  • Why do people leave?

• Rocky

  • Will know more in two weeks about September; will be working full time at Chime, or MBA at Wharton/Berkeley

• Data Gaps

  • Sexuality (not collected by Code for America either)
  • Immigration Status, e.g. first gen second gen (not collected by CfA)
  • How long have people been in SF?
  • Gender
    • Breaking down beyond M/F/NB gets complicated and serves few people
  • Age
  • Income
    • Should we go even higher on income? Break down into 4-5 categories?
  • What does San Francisco look like for each of these categories? Census data.
  • Profession, meaningful categorization
  • Education
  • involvement, nature of involvement and consistency or duration
  • Location

• Next Steps for filling data gap

  • Understanding process for gathering initial supplemental information
  • Start by gathering (on standard form):
    • Gender
    • Race
    • Income
    • Age would come next
  • How many SF community members attend national groups? Salesforce! Rocky went to Summit first
    • Does intake form include that as an option?
  • How the hell do we measure engagement? Check in bots?
    • Pull latest data and push to airtable (conslidated members)
      • Slack
      • Meetup
  • Get slack data into Airtable