We hypothesised that maintaining a regular cadence of volunteering activity would be important for maintaining confidence and continued volunteering. If we could understand what level of activity was important to maintain confidence, then we could better tailor our coaching activities to support the volunteers.
Working with SparkBeyond's data scientists we set about trying to unpick this puzzle. Using their A.I.-powered platform, we were able to examine a very large number of possibilities that would have been unfeasible using more traditional analytics approaches.
We found a number of fascinating factors that appeared to predict volunteering activity - taking 3 or more conversations per month appeared to be particularly important. This makes intuitive sense - it is easy to imagine that retaining confidence when doing something challenging like volunteering for Shout may well require weekly practice.
Crucially, though, SparkBeyond's approach allowed us to identify a particular activity level and the magnitude of its importance that we would otherwise have been unaware of. Having gained this insight, our coaching team now works with volunteers to maintain this level of activity as far as possible, so as to help volunteers build and maintain confidence in their abilities.