Blog Post
Hey @CKeith, we are working on building out specific metrics around bots, however in the meantime there are ways you can measure bot activity and your agent's response times for bot handled conversations using smart views and custom analytics dashboards.
At a high-level, we define agent response time for conversations handed off by a bot as the time between when the customer asked to speak to an agent and the time the agent responded. To ensure that TAR data is accurate from a team/agent reporting perspective, we pre-filter out bot response times from our response time metrics/widgets. Additionally, we treat the first agent response after a bot handoff as the first response for purposes of measuring agent response times. This allows you to get a clear picture of how your agents are performing across all conversations including those handed off by bots.
As an example of what you can do within our analytics platform today, you could create a Smart View filtered to show only conversations that have the "Bot Handoff" system tag, and apply this Smart View to the 'Response Times' or 'Responses Meeting TAR SLA widget’. This would show you what your agent response times are when conversations are handed off by a bot so you can evaluate whether you’re meeting your goal.
Hope this helps to answer your question!
JessicaW Thank you for your helpful post about response time. Great to hear that this is being calculated to account for bot first responses in the dashboard widgets.
For the Raw Response report, will the agent's first response on a bot conversation have a TAR based on the time since handoff was requested or is it based on from the customer's first unanswered post?