Why are you collecting this data?
Good market data is hard to find, yet it’s necessary for much of the work we do in the utility industry. We want to create a self-correcting market forecast model that meets utility program creators’ unique data needs.
Why was I recruited to be a part of this network of experts?
You were identified as a candidate member of our subject-matter expert (SME) network based on your prior academic or professional experience. In many cases, you were referred to our development team by a shared colleague or contact. If you’d rather not be a part of this network, we’ll be sorry to see you go, but of course we’ll take you off our list. Just contact us and let us know.
What are you going to do with this data?
The initial outcome will be a web-based software tool that allows E Source members to view forecasts for emerging technologies created by our SMEs relative to forecasts published elsewhere. These “S curves” will be accompanied by a brief narrative, describing anticipated market behavior.
What do I get out of being an expert in your network?
We’ll recognize you as a contributing member of our SME network on our website (unless you would like to remain anonymous), and you’ll have the opportunity to engage with other experts in our network. Additionally, as an SME network member, you will also have access to the data, information, and reporting functionality of this tool, even if your organization does not subscribe to E Source services.
What should I do if I think your market forecasts are way off?
Let us know! Part of the “self-correcting” aspect of this tool involves reevaluating estimates over time and adjusting our model parameters as new or more-accurate information becomes available. If you have a reason to believe that our forecasts are flawed, we would be eager to talk with you and hear your rationale.
Why are you using this methodology?
At its core, our model is based on a modified Delphi method. This is not a new approach, nor is it the only way to forecast the future adoption of technologies, but we find it to be both straightforward and proven.