Spark - What is the Process for Volunteers?

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Step 1: Contact Spark

If you're interested in volunteering your professional expertise through Spark, or learning more about who we are and who we help, get in touch. When you do, please tell us a bit about yourself: what you do; what skills you'd like to volunteer; and how you found out about Spark.

If you have a resume or a LinkedIn profile, please send that along, too. Knowing your experience before we meet helps us be better prepared, and we can start to think about the potential matches we may have for your skills.

Step 2: Meet

Interested individuals meet with a Spark staff person. The purpose of the meeting is to share information about: who Spark is and what we do; your specific skills and experience; your availability; and how much time you would be willing to volunteer. This information makes it possible for us to better match you with an organization that needs your help!

Step 3: Match

When a group comes forward that needs help in an area that you are willing to share you expertise in, Spark arranges a meeting between you, a Spark staff person, and someone from the community organization. This is a chance to get to know each other and have an initial discussion around what it is that the group hopes to accomplish and how you can help them. If everyone is in agreement and is ready to work together, a brief contract which outlines the commitment and expectations of all parties is developed.

Step 4: Work

You and the people from the group or organization work together to accomplish what it is you have agreed on, on a timeline and pace that works for everyone. Spark monitors and supports the process, and will check in to see how things are going – and we are only a phone call or email away if you need some advice or more information to help things along.

Step 5: Evaluate

Once the work has been completed, we would like to know how it has gone. We expect both you and the organization to fill out a confidential evaluation form. The evaluation is important because it helps us learn what works and what could be improved for the future.

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