Partnership

COACHE embraces the Embracing the William T. Grant Foundation’s Research Practice Partnerships model.

 

Five icons representing COACHE's model for research practice partnerships; longterm sustainability, focus on practical problems, benefits to both researchers and academic leaders, intentional relationships, and emphasis on original analysis.
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A Community of Practice

COACHE brings our partners together to advance our mutual goals of maximizing the impact of data. Virtually and in person, we gather higher education leadership. They meet with counterparts from peer institutions and respond to COACHE’s findings on exemplary programs and practices. COACHE researchers also work with individual campuses to provide context and expertise on faculty issues.

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Access to Ongoing Research

COACHE partners have access to our researchers for consultation regarding effective dissemination and engagement strategies, and ideas for policy and program improvement. Partners also gain insights into important trends revealed by our analysis of aggregate results and to  early editions of COACHE's other research.

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Strategic Advantages

Our partners also describe participation in terms of intangible strategic benefits:

  • Participation in COACHE sends a signal to faculty that their institutions care about the issues they face.
  • The results inspire data-driven discussions and decision-making among academic leadership, and motivates significant and targeted changes in policy and practice.
  • Our reports and consultations inform targeted efforts to resolve the concerns of particular populations or disciplines through the distribution of resources and attention.
  • COACHE partnership also provides a powerful lever to achieve a competitive advantage in the recruitment, retention, and success of faculty.
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Additional Support

Additional support, on an added fee basis, includes: site visits by COACHE’s senior leadership to facilitate board conversations, deans' councils, chairs’ workshops and/or faculty focus groups; and custom reporting across variables of local or task-specific importance, e.g., STEM fields by gender, race, and rank.