With the help of Hellon’s AI and machine learning tool, AINO, the team embarked on large-scale data analysis – using existing, quantitative data sets captured and anonymised by Mandatum such as CSAT surveys, customer feedback and share price. The aim was to uncover the driving factors that were directly impacting their NPS and its lack of growth. AINO analysis predicted that what was lacking was a ‘feeling of care’ and that building a service identity that exuded care at all service touchpoints would result in higher customer satisfaction and loyalty. AINO provided a precise forecast of the effects of adopting a care-focused identity on NPS, which was directly achieved.
In collaboration with key stakeholders a new, customer care -centric vision was created, bolstered by further qualitative research with customers to understand the nuances of what customer care should look like within service interactions.