As all activity is now taking place digitally, Multiverse has been able to expand and automate many of its measures of its apprentices’ engagement and performance.
These measures are relatively straightforward, such as lesson attendance, and have led to a much larger group of lead indicators to direct attention and interventions.
The basket of measures that correlate with a higher risk of non-completion include training hours, employer feedback and attendance. The system collects and collates these measures and flags to coaches when apprentices have one or more risk factors.
Data-informed automation is, however, always supplemented with human judgement, and coaches also collect and discuss detailed notes on a weekly basis in order to inform their prioritisation, support and intervention activities.
The combined approach creates a more effective safety net and instils a greater degree of objectivity – ensuring support goes to those apprentices who need it as well as those who are most willing to seek help.
Early indicators suggest that this system is leading to a meaningful improvement in student outcomes. Although Multiverse sees the in-person elements of its approach as central, it is ‘certainly clear that there will be a much greater level of online integration’ even after the pandemic subsides.