 0 50 100 150 200 250 300 350 400 Triage Early Intervention Other Social Care Average page load per active user Teams Social Finance Limited +44 (0) 20 7770 6836 87 Vauxhall Walk, London SE11 5HJ socialfinance.org.uk 14 Figure 5: Quarterly average page loads per team over time between April’ 2019 and Oct’2023 For more detailed information on chronology of the roll out to different teams and how different teams use the TFD, see Appendix 6. 3.2 Targeted Risk Models What are the targeted risk models? Different analytical techniques were used to create the targeted risk models, including index scoring and social network analysis, for example initially with the CSE and CCE models. However, over time the risk models used more predictive analytics, whereby common factors present in a target group of young people (see below) over a range of data points were used to create a data ‘blueprint’. This model was then applied to the wider population to identify those who match this and assign a vulnerability score. The models do not account for any ‘insulating factors’, such as community connections and social networks, and only match ‘negative’ data, or information that might increase risk, such as poor school attendance, records of crime, etc. There is, therefore, a need to rely on case workers to account for other information or more contextual data not captured in the model. In this way, the risk models are not designed to make decisions, but to supplement the worker’s understanding of vulnerability by offering a risk score to support risk assessment. Three targeted risk models have been created. These are:  NEET model – to identify those at risk of not being in education, employment or training. This model is composed of three internal logistic regression ‘sub-models’ trained on