the science behind teammates

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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Thank you!

Tess StarmanData and Match Support SpecialistTeamMates Mentoring tstarman@teammates.org402-680-7341

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