A Data-driven Approach to Volunteer Management
It’s no news that the world is increasingly becoming data-driven, and it is about time volunteer management (VM) jumps onto the bandwagon too. In this publication, we discuss how data can be leveraged to design a VM model that best fits your agency, and dispel 3 key misconceptions on VM.
Do you agree with the following?
“Number of volunteer opportunities = Number of volunteers to manage”
“It takes the same amount of time to manage corporate and community volunteers”
“Volunteer management is just the volunteer management team’s responsibility”
If you do, you are not alone. Having supported more than 30 social service agencies in improving their volunteer management (VM) practices and processes, we realised that many VM teams have made the mistake of thinking those statements are true.
Hence, we have curated this publication to debunk these statements – which is crucial when deciding on a VM model that best fits your agency. For instance, we explain the difference between managing corporate volunteers as compared to community volunteers, and with this clarity how you can better allocate your manpower.
With these in mind, we hope that you will be able to:
- Start on a data-driven approach to volunteer management
- Create a resource analysis model to analyse your VM efforts
- Collect and consolidate data to decide on a VM model for your organisation
If you need help kickstarting your VM journey, feel free to reach out to us at firstname.lastname@example.org