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The Science behind TeamMates
- 1. The Science Behind TeamMates Tess Starman Data and Match Support Specialist TeamMates Mentoring 1
- 2. Agenda • How do we currently collect and use data? • Why do we do it? • How does our Program look? How does it compare? • Now what? 2
- 3. Where do you use data? How do you use data? 3
- 4. Data Process Program Coordinator: Data Collection & Data Import Central Office: Analyzed, Reviewed Results: Statistics Dashboards Survey Results Application: Case Statement Marketing Recruiting Grant Proposal Grant Reporting Decision-Making 4
- 5. But, Why? 5
- 6. Why: It’s a Clear Picture 6
- 7. Why: It Speaks to People 7
- 8. Why: It’s Easy to Compare 8
- 9. Why: It Shows The Impact 9
- 10. Why: It Aligns us with Our Mission and Vision 10
- 11. Why: It Measures the Gold Standard What does the Gold Standard mean to you? 11
- 12. 12
- 13. How does your Chapter impact these statistics? How do YOU impact these statistics? 13
- 14. How TeamMates Compares TeamMates • Average Match Length: 25.2 months • 99.8% matched on common interest • 99% of mentors trained; 70% receive ongoing training • 98% of mentees trust mentors; 75% quality relationship National • Average Match Length: 9 months (2002; 2005; 2015) • Common interest (2015) • Training and ongoing support (2007; 2015) • Positive change connected to quality and hope (2002) 14
- 15. Partnership Day 3: Now What? • Resources available • Data Specialist • Case Statement • Dashboard & Dashboards 101 Guide • Data Import 15
- 16. Experiment 16
- 17. Thank you! Tess Starman Data and Match Support Specialist TeamMates Mentoring tstarman@teammates.org 402-680-7341 17