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I suggest the following to my clients when available:
Qualatitive Metrics Chat Satisfaction - Post Chat Survey Chat Quality - via remote QA Chat Service Level Email -Average Response Time Email Service Level ASA - Chat Predictive Metrics Chat Volume Chat AHT Chat Abandonment Email Volume Email AHT Incident to interaction ratio Productivity Metrics Concurrent Chats Sessions Emails & Chats Handled per Hour Email Agent Response Time Assigned to Initial Response Chat Service Level That is a good start. There may be many more available depending on your systems and data mining capabilities. The above would constitiute the email and chat components of an E interaction dashboard. |
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The user “Interaction Strategist” provides clearly detailed measures and categories, I’d supplement with:
Average handle time Chats per hour Number of concurrent chats Customer satisfaction First Call Resolution Willingness to recommend Quality (Work flow, grammar) Company specific -successful transaction (e.g. lead recorded, sale, inquiry, information captured…) Make sure you keep in mind the old management saying of “You only get what you measure” as occasionally you might not measure the total performance behaviors you desire. An example would be if you measured only the number of chats an agent handled per hour, the agents’ might not take the extra steps to fully resolve a customer’s inquiry and instead only answer their basic question. They would meet their productivity goal and you might be losing customers, as they will need to contact your organization multiple times for the same issue. |
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