Community feedback can be hard to use. It’s often scattered, inconsistent, or dominated by the loudest voices.
Using Engagement Science, we turn that input into clear, structured data that shows what people think, why they think it, and how views are changing over time.
This allows trust and acceptance to be measured, tracked, and compared , across sites, projects, and regions, even in very different contexts. Patterns emerge, making it clearer what’s working, where trust is shifting, and where attention is needed.
Community risk can then be discussed alongside operational and financial risk, using evidence rather than anecdotes.
In the Australian Eggs (AE) project, concern about hen welfare was being shaped by a small number of highly active groups. Al hacer un seguimiento de una muestra más amplia y representativa, encontramos que estas opiniones no eran compartidas por la comunidad en general. This gave AE confidence to respond and demonstrate to regulators that sentiment was improving over time.