In this short clip, Max goes deep on the trend analytics available in SupportLogic, showing how easy it is to cross-examine products and keywords against what's happening in your support cases. This brings organization-wide value to your customer data and helps your product teams iterate faster.
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What this page allows you to do is quickly at a glance see what types of cases
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are increasing
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dramatically over the course of a period of time or decreasing dramatically and
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the way
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you're able to do this.
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This can help with figuring out top case drivers.
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You'll see I have an option here to select the topic and these are all custom
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field values
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within the ticketing system that we're pulling in from.
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I can look quickly here and see okay, over the time period that I've designated
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in this
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case the last three months, cases of this category are up 2,131%.
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Obviously, that's a crazy number.
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But for our purposes here, we can see that we've had a major increase in those
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cases
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substantially larger than the other types of categorized cases that we offer
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here.
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And then I can add a second layer.
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So within those categories of cases, I can then see, okay, within those, what
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are potentially
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the top drivers there if I take it a step down even further?
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That then very easily, that allows me to understand, I can take that
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information and
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then I can look more clearly to see what's the sentiment associated with these.
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What are the attention scores or sentiment scores which are based on our ML
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tied to these
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cases, tied to the agents that are working them, who's doing the best job, who
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's doing
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not a great job.
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I can drill in further from there, this allows me to start at the top and then
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steadily drill
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down until I get to the individual cases and understand why we're having, you
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know, why
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we're seeing spikes, why we're seeing declines, things of that nature.
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So this is like, this page is often a very good starting point.
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Like when looking say at, you know, these substantial increases in volume of
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certain
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types of cases, and then I can take this information and I can jump over to the
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text analytics page,
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right, and drill down based on, you know, which case types we're increasing
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heavily so
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that I could really get a close look at like, okay, what are the keywords that
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are popping
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up in those, right?
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What are the, you know, what's the distribution of escalations there, positive
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sentiments,
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negative sentiments, right?
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We enable you to really take information and slice it so that you can
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understand the
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nuts and bolts of what's going on in your support organization and with your
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products
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and with your teams.