Can Shared Service Delivery Increase Customer Engagement? A Study of Shared Medical Appointments
Customers and providers alike often consider one-on-one service delivery to be ideal, assuming –perhaps unquestioningly – that devoting individualized attention maximizes customer engagement and improves outcomes. Alternatively, shared service delivery, in which customers are served in batch, may, through the dynamics of group interaction, lead to increased customer engagement. On the other hand, the loss of privacy and personal connection in shared delivery models may undermine engagement and performance. To explore this tradeoff, we conducted a randomized controlled trial with 1,000 patients who were undergoing glaucoma treatment over a three-year period at a large eye hospital. Using verbatim and behavioral transcripts from over 20,000 minutes of video recorded during our trial, we examine how shared medical appointments (SMAs) – in which groups of patients with similar conditions meet with a doctor simultaneously, and each receives one-on-one care in turn – impact patients' engagement during their appointments. Patients who experienced SMAs asked 37.2% more questions per minute, made 8.2% more comments per minute, answered 3.6% more questions per minute, and exhibited higher levels of non-verbal engagement across a wide-array of measures (attentiveness, positivity, head wobbling or ‘talai taḷḷāṭṭam’ in Tamil – a South Indian gesture to signal agreement or understanding – eye contact and end-of-appointment happiness), relative to patients who attended one-on-one appointments. We further find that patients in SMAs went on to report higher levels of satisfaction and exhibit greater levels of learning and medication compliance. These results shed light on the potential for shared service delivery models to increase customer engagement and enhance service performance.
Citation:
Buell, Ryan W., Kamalini Ramdas, and Nazlı Sönmez. "Can Shared Service Delivery Increase Customer Engagement? A Study of Shared Medical Appointments." Harvard Business School Working Paper, No. 21-001, July 2020. View Details