Use case 5: Supervisor dashboard

Description:

Through the supervisor dashboard, supervisors can easily access the client cases and feedback reports of the care providers assigned to them to monitor their work, evaluate their performance, and provide feedback as needed—for example, if they notice a score for a technical skill required by the program is declining. Pertinent notifications will be flagged for supervisors by an automatic alert.

Example scenario:

A supervisor logs into the supervisor dashboard to review the performance of several care providers who are under their supervision. The dashboard provides an overview of each provider’s active cases, risk assessments, and session progress, and it highlights cases that need immediate attention.

For example, the dashboard alerts the supervisor if a provider’s sessions need to be reviewed because it is showing inconsistencies in therapeutic techniques delivered. By accessing the detailed session analysis, the supervisor sees that the provider was not closely adhering to the techniques required by the treatment and received feedback on their communication style. The system recommends targeted training in those specific techniques to improve their skills.

The dashboard also offers performance metrics across important skills, such as empathy, technique adherence, and directive communication, to help the supervisor identify patterns across supervisees. By analyzing these metrics, the supervisor can tailor feedback, prioritize one-on-one coaching sessions, and allocate additional training resources where needed.

Opportunities unlocked:
The supervisor dashboard could address several challenges in mental health task sharing programs, including the following:

• Supervisor shortage. Many programs face a shortage of qualified supervisors, leading to minimal or delayed feedback. The supervisor dashboard could alleviate this shortage by automating preliminary assessments, highlighting high-priority cases, and streamlining feedback. Supervisors could then more efficiently manage larger caseloads without compromising quality.
• Inconsistent feedback. Without standardized evaluation criteria, feedback quality can vary substantially across supervisors. The dashboard could provide consistent, data-driven performance metrics and ensure that feedback is balanced across both technique-specific competencies and foundational helping skills, such as empathy and active listening.

How could the end user(s) benefit from this solution?

The primary end users who could directly benefit from this solution is:

• Supervisor: Experienced mental health professionals or trained nonspecialists who oversee care providers could use the dashboard to monitor the performance metrics of care providers during training, provide data-driven feedback, and deliver targeted coaching.