Insights collected through this process will inform the development of a regional recommendation report outlining actionable strategies for workforce development, training investments, and employer-driven solutions. This report will be shared with participating employers and stakeholders, ensuring that those who contribute have access to the findings and can help guide next steps. Responses will be used in aggregate to inform regional workforce strategies. Individual responses will not be attributed to your organization.
By participating, employers play a critical role in shaping a more responsive, data-informed workforce system. The information gathered will support ongoing collaboration and help align regional efforts to better meet industry needs across the Lansing area.
TAKE A 5-MINUTE HIRING NEEDS SURVEY
Why This Work Matters
This convening is part of a broader effort under the Michigan Vehicle Technology Transition Impact Project (MiVTTP) to better understand and respond to the rapidly evolving mobility and clean energy economy. Through this initiative, the Workforce Intelligence Network (WIN) is working alongside regional partners to identify employers, map the local mobility ecosystem, and gather real-time insights on hiring demand, skill gaps, and workforce challenges. These insights are critical to ensuring that workforce strategies, training investments, and education programs are aligned with the actual needs of employers in the Lansing region.
By directly engaging employers through surveys, roundtables, and convenings like this, WIN is able to translate industry feedback into actionable recommendations that inform regional workforce planning, funding opportunities, and long-term talent pipeline development.
Employer Value & Return on Investment
Participation in this effort provides a direct return on investment for employers by ensuring your voice helps shape the systems designed to support your workforce needs. Employers who engage gain access to data-driven insights, influence the design of training and education programs, and help build a talent pipeline aligned to their current and future hiring demands.
The WIN model is built on delivering measurable impact. As highlighted in the 2024 Annual Report, WIN has engaged over 1,400 employers and stakeholders, facilitated partnerships across education and workforce systems, and helped secure over $294 million in funding to support training and talent development initiatives across the region.
For employers, this translates to:
- Reduced recruitment and training costs through better-aligned talent pipelines
- Access to grant-funded training and workforce solutions
- Opportunities to upskill current employees and retain talent
- A stronger voice in shaping regional workforce strategies and investments
Ultimately, your participation helps ensure that workforce development efforts are not only responsive, but employer-driven, efficient, and impactful.
A Story of Impact
The value of this work is best illustrated through employer partnerships across the region. For example, employers participating in WIN-supported apprenticeship programs have been able to upskill current employees, reduce turnover, and build sustainable career pathways within their organizations. One employer shared that apprenticeship programs created new opportunities to recruit and develop talent internally while remaining competitive in a tight labor market demonstrating how workforce collaboration directly supports business growth and stability.
These outcomes are made possible because employers are not just participants, they are co-designers of solutions.
TAKE A 5-MINUTE HIRING NEEDS SURVEY
This convening is hosted by the Workforce Intelligence Network (WIN) in partnership with, Capital Area Michigan Works!, City of Lansing, Lansing Board of Water & Light and the University of Michigan Economic Growth Institute.
This activity is in support of the Michigan Vehicle Technology Transition Impact Project (MiVTTP), a partnership between the Economic Growth Institute and Michigan Clean Cities, and is based upon work supported by the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) Vehicle Technologies Office (VTO) under the Award Number DE-EE0010618.
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