Doug Mancinelli, Strategic Consultant at Calabrio, walks through the COVID-related dashboards and terms within the Analytics suite. Watch the full webinar here.
With more governments and public sector organisations tracking the spread of COVID-19, the need for accurate contact tracing is essential. The core of analytics is trying to understand all the interactions that agents have with your customers. When conduct contact tracing efforts, this is especially important. Whether you are just trying to understand infection rates or highlighting specific trends in agent response, analytics can help clarify your strategy.
Staffing contact tracing centres is the first aspect of the operation that must be addressed. The Centres for Disease Control and Prevention (CDC) has recommended that states need 30 tracers for every 100,000 citizens. That tracer team will likely be made up of a hybrid force of health professionals, librarians and others who are skilled in sleuthing. But regardless of how a state or BPO chooses to staff the contact tracing centre, it will need workforce management (WFM) software to forecast staffing needs and schedule the teams.
Guidance for the types of data to track and collect should come from the CDC. Focus particularly on case count changes:
You’ll also need to make sure you’re asking the right questions — and receiving the right information — in evaluation forms during the tracing effort. With all questions in evaluation forms, you’ll need to identify if there is an error that impacts the person (infected person). This is why evaluation forms are structured to identify if it was a critical or procedural error. If it is a procedural error, that is an internal error and doesn’t affect patient care of treatment.
What particular agent metrics should you focus on for contact tracing? Contact tracing is challenging because personal information must be gathered from each interaction, often from people who are distressed, rushed for time or mistrustful of providing such information. Quality management software can help tracing agents more empathetically and efficiently collect the required information, as evaluating tracer-patient interactions shows where and which tracers need coaching. Automated quality management, infused with predictive analytics, provides scoring and insights for 100% of interactions, which expedites targeted training by more efficiently highlighting areas for improvement. Advanced WFM tools can, in turn, be used to automatically schedule such training for tracers and help accelerate their development.
Some key metrics could be centreed on responding and answering people who have been notified they have been in contact with someone with COVID.
To ensure HIPAA compliance, these soft skills listed on the CDC website should also be considered:
Tracking these soft skills via analytics will really be helpful to dig into words and phrases — and from there, assign coaching opportunities. It also provides an opportunity for the agents to improve on their own.