Max Greene 2 min

SupportLogic Basics: The 10,000-foot view


In this short clip, Max gives a general overview of where SupportLogic begins, with sentiment analysis of your case history to surface the highest priority customer interactions from your data.



0:00

Your support team talks to your customers more than anyone else.

0:04

There's a wealth of information in those interactions that can be used to

0:09

understand customer health, to proactively engage with customers and ensure

0:14

that they're

0:14

getting the right service they need, to ensure that you're not walking into

0:18

meetings with

0:18

customers not knowing that the house is on fire, all of these types of things.

0:24

What you're looking at here, this is the console page within Support Logic.

0:28

This is a bit of a command and control center where you can see cases that have

0:32

had

0:32

recent activity and sentiment signals detected upon them.

0:37

Natural language processing is at the core of what we do.

0:40

We analyze and read the cases and we extract the voice of the customer in the

0:45

form of

0:46

a variety of distinct sentiment signals.

0:49

You can see right here these are frustration signals based on statements that

0:53

the customer

0:54

is making within cases.

0:55

But we look for a variety of different signals that we categorize.

1:00

Can be frustration, confusion, impatience, non-helpful responses, negative

1:08

sentiment.

1:09

These are all, the models are built specifically for support organizations.

1:14

So complex technical support, whatever it might be, our models are built to

1:21

understand

1:21

those interactions on a level that a generic AI model doesn't.

1:27

So it's kind of where our expertise here flows in.

1:31

And so these signals, right, they're very much, these are kind of emotional

1:35

signals,

1:36

like how a customer is feeling about a support interaction.

1:42

But we also analyze and look for what I would call more procedural language

1:46

that a customer

1:47

might use requesting an escalation, right, saying that their system is down or

1:53

that

1:54

their users or production users have been affected, that they're having a

1:58

critical issue

1:59

of some kind or expressing just urgency on a case, as well as asking for

2:06

updates, asking

2:07

to schedule a call or analyzing everything we surface these to you in near real

2:13

time so

2:13

that you can proactively engage on these cases and with these customers in

2:19

whatever capacity

2:20

you are doing so, whether that be in support, customer success, account

2:26

management allows

2:27

you to very much one, make sure that the team is working on what they should be

2:31

working

2:32

on and also making sure that you're able to engage with your customer, exec

2:37

sponsors

2:38

and leadership and let them know that your team is doing everything they can to

2:44

ensure

2:44

that their issues are being addressed and resolved in a timely fashion.