the science behind teammates
TRANSCRIPT
The Science Behind TeamMates
Tess StarmanData and Match Support SpecialistTeamMates Mentoring
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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?
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Where do you use data?
How do you use data?
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Data Process
Program Coordinator:Data Collection & Data Import
Central Office: Analyzed, Reviewed
Results:Statistics
DashboardsSurvey Results
Application:Case Statement
MarketingRecruiting
Grant ProposalGrant ReportingDecision-Making
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But, Why?
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Why: It’s a Clear Picture
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Why: It Speaks to People
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Why: It’s Easy to Compare
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Why: It Shows The Impact
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Why: It Aligns us with Our Mission and Vision
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Why: It Measures the Gold Standard
What does the Gold Standard mean to you?
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How does your Chapter impact these statistics?
How do YOU impact these statistics?
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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)
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Partnership Day 3: Now What?
• Resources available
• Data Specialist
• Case Statement
• Dashboard & Dashboards 101 Guide
• Data Import
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Experiment
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