Francoise Tourniaire & Rob Hartwig & Chris Romrell 29 min

The Elephant in the Queue - Reducing Backlog with Efficiency


Backlogs aren’t just a nuisance; they’re a threat to customer satisfaction. This session will confront the issue head-on, revealing how SupportLogic’s efficiency tools can drastically reduce your backlog. You’ll learn why tackling this “elephant in the queue” is critical to maintaining a high-performance support operation, and how a more efficient process can free your team to focus on what matters most.



0:00

>> My name is Francois. I'm the owner of FTWorks. And I am joined here by --

0:08

>> So I'm Chris Ramero. I'm director of services and

0:12

Support with Nice or Nice CX1. >> And i'm rob hart. We've got a solution

0:18

Architect that's been about two and a half years and I'll show you

0:22

What the cool stuff we have here. >> So the way this is going to work is i

0:26

Will start by saying a few theoretical things about backlog management.

0:32

And then we'll start hearing chris's story and in the middle rob is

0:36

Going to do a demo. >> You got it. >> Can we have the first slide, please?

0:42

A second slide. And again. All right. So let's start with the

0:50

Obvious. What is case backlog? So case backlog is just --

0:55

Open cases. All of them. And as we can see, there's plenty of

1:01

Things in the backlog that are perfectly fine and should be there, like

1:05

Brand new cases, for example. Cases we're working on, cases where we

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Waiting on somebody else, waiting on the customer, waiting on rnd, waiting on

1:15

product --

1:16

Product -- the product team, right? So backlog is fine, except when it's not.

1:24

Next slide. So when there's too much back log, when there's

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Back log that's too old, then we start to have problems.

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And all of the speakers we heard today said a lot of interesting things about

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This, like it has bad effects on customers.

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It's going to take a longer time to resolve cases.

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Customers don't like that, so they will escalate. And if they escalate, they

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Probably won't be too happy. So those are customer effects.

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And then there are effects on us, vendors. And i would like to just highlight

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the First one on the list here, which is this mental load idea.

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My company does a lot of work with training support engineers on

2:13

Communication skills with their customers. And i always take a poll.

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How many cases do you have in your queue? And i've noticed over time that if

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the Answer is ten or fewer, people are fine. If the answer is 20, 25, 30 or more,

2:33

then People are very distressed. They feel it's almost impossible for them to do

2:38

their Job, etc. So this mental load i think is pretty important and maybe not

2:44

Embraced enough by us managers. Second idea is the firefighting overhead.

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We heard from one speaker earlier today that it gave back an hour of time to

2:58

Their managers. Do you hear that one? So certainly,

3:03

Firefighting is very costly. And of course churn is very costly.

3:07

So where does backlog come from? i call it the three p's.

3:13

Process people product. So let's start about people.

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People is everything that has to do with the individual who actually owns the

3:23

Case. And it could be a training issue often.

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So they don't have enough technical skills. They do not have troubleshooting

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Skills. These two things are different.

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I can know a lot about the product but not be very good at troubleshooting and

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They can not have very good queue management skills.

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Which is also something that could be taught.

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And then there's more psychological stuff.

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Like i don't know how to say no to customers.

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If you've ever been in that situation, you know that by not saying no, then my

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One question becomes 12 questions and 13 questions and 14 questions and

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Pretty soon i can never close my case. So that's a problem.

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And other psychological problem is i'm too proud or i'm too scared to ask for

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Help. There is help available but i'm going to

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Remain stuck in my case because i can't quite get out of my little world.

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So those are people issues. The process issues to me are organizational

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Issues so it's one level up. So they are things like i'm not staffed properly.

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I don't just mean i don't have enough people but maybe i don't schedule them

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Properly. So there's a staffing issue.

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Second problem would be anything that has to do with

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Collaboration processes. So earlier we talked about the individual

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Case owner being afraid of asking or too proud to ask but maybe there is nobody

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To ask. That's a problem.

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And then finally i see certainly some of my clients not really having a

5:07

Backload management problem. They think that somehow it's going to work.

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And hope is not a strategy as we know.

5:16

On the product side, what i mean by product is the product of the service that

5:22

You support. We all have had experiences where we supported

5:27

A product that was very buggy. That's going to create backlog right there.

5:32

But it could be other things. It could be the product is

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Missold. So the use case of the customer has

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Doesn't quite work with the product. And sometimes the product is just hard to

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use. So it generates a lot of questions into support.

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So that's the diagnostic part of the backlog.

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And now here is my idea at least of an ecosystem for backlog management.

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So i think if you do all of these things, your backlog will be nice and healthy

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I organize this people process product of course.

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So on the people side, training, coaching, maybe hiring a different kind of

6:15

person. Right? Especially if your product is changing or your customer base is changing

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In the process category, there's two columns.

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The first column is everything that has to do with the way we actually resolve

6:30

issues.

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The second column is really about backlog management.

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Two slightly different things. So around the product, i'm sorry,

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Around the problem resolution. Right?

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First idea is are we assigning cases to the right person.

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Tally was here a little while back talking to us about automatic assignments.

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That's the first issue. Right? If i assign a case to the wrong person,

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Then it's going to sit there for a long time. Not good.

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Second is knowledge management. Of course, what i call case clinics,

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Some people call them scrums. So ways that we can share knowledge throughout

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the day.

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Right? Together. And then obviously a good swarming process

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So that we can collaborate in real time when needs be.

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All this is about issue resolution.

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The second column is about backlog management issues.

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First idea, have resolution targets. There should be an idea within your team

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Of how long it should take to resolve a case.

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And if i go over that, then i probably need to go get help.

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Right? Without stopping.

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Do you do individual queue reviews, so manager and support agent together?

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Right? Do you do aging case reviews, which is looking at old cases,

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And of course, escalation detection. I'm going to use one of chrisis

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Term here, which is take the heat out of the back log.

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It's okay to have stuff in the back log. That's not very urgent.

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But if you have urgent stuff, that's a problem.

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On the product side, we're not going to talk about that too much today,

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But i wanted to have that in your mind.

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Do you have internal service level objectives with whatever organization you

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Depend on? Many of us don't. That's a problem.

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And then do you have a voice of the customer program so that you can, on a

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Strategic level, feedback to your product organization, things that need to be

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changed.

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All right. So that's all theory.

8:38

Let's go to practice. So chris, tell us about where you started from.

8:43

Well, i work for a nice company. And we had a problem.

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And it had to do with back log. We literally had hundreds of unassigned cases

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Sitting in the back log with no engineer assigned.

8:57

Poor visibility of case updates, customers calling in and asking if

9:02

Their case has been assigned. This kind of waiting game.

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Am i with an engineer or am i still in the queue, if you will?

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And that's just led to a very poor customer experience.

9:13

Like they would get their case and it would finally get to an engineer after

9:17

Multiple days. And the engineer would say thanks for

9:21

Talking with me today. Are you still having a problem?

9:24

What a horrible experience. And then it just led to problems.

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And that led to kind of this squeaky wheel mentality.

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You know, it's kind of who you know.

9:36

Support managers spending most of their time on escalations, preparing,

9:41

Reviewing cases. The loudest customer, the loudest

9:45

Tam, the loudest sales engineer reaching out into the organization trying to

9:49

get Traction on their cases and just struggling to get traction where it was needed

9:53

Because everybody just had cases and too many cases to handle.

9:57

And then dissatisfaction. We started seeing case and support

10:02

Satisfaction showing up in our customer's nps surveys and our c-sats were lower

10:07

than

10:08

We wanted below targets. And this led to frustration and friction with our

10:12

Support organization. All of a sudden they felt like they were the bad guy.

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And everybody out in the organization was trying to attack them or tell them

10:19

how

10:20

To do their job better. If they only could solve these cases faster

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Than all of our problems would go away. And that really wasn't the case.

10:28

That wasn't the problem. >> Okay. So it was pretty bad.

10:31

>> It was rough. >> So you analyzed what was going on.

10:34

What did you find? >> We did. We looked at the data.

10:38

>> Go ahead and give my next slide. And we said that customer growth was really

10:42

Part of our problem. We were understaffed. We had grown customers and

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We hadn't grown our support staff. And so we were trying to do more with less,

10:50

Effectively. We didn't have a fewer case to

10:54

Customer ratio. And that was a problem. And we didn't have this kind of

11:01

Line of sight into new budget for -- we were a cost center and that was a

11:05

problem. We had expanded into different markets, into brazil and kala, into the uk and

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Amia, into australia and apac. And with that expansion came new challenges.

11:17

New types of customers with different types of expectations.

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Struggling to come to terms with our support organization and really how to be

11:25

Successful. It's hard when you want your customers to be trained on how to work

11:31

with You. And that's a rough experience. Anytime you do that.

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And then we also started selling up markets, selling to bigger and larger

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Customers. And these bigger and larger customers had bigger and larger

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Expectations taking up more and more time. Wanting to hold on to tickets longer

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And we just weren't positioned for that very well.

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And struggled to meet those. Talking about the product issue.

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We also had knowledge and documentation gaps. We had a lot of --

11:58

>> You were the only ones really. >> Great products.

12:00

>> Nobody else here has had that. >> And gaps in the knowledge and the

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Documentation. All of a sudden product managers say,

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Why are customers unhappy? And they're like, well, they don't know how to use

12:11

the Product yet. Or they're having a hard time troubleshooting this issue.

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And just trying to expose difficulties in that experience.

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And of course, software bugs. I mean, it's really the scope of our industry.

12:25

Is that software will come and with those software comes bugs.

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But just challenging when we're under water in the organization.

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And just not able to meet those demands. And then some of these other issues

12:39

just Kind of crushing over the top of us, if you will.

12:42

>> I'm depressed. All right. So you tried a bunch of stuff.

12:46

>> We did. >> And what i love about chris is very

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Honest. So he's going to tell us what didn't

12:53

Work. There's a long list. >> Yes. So we started out with kind of

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A tiered approach. We had level one, level two, level three

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Engineers and we thought this is going to help us.

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But it was challenging because not every engineer knew everything about

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All of these products. And the tier one engineers didn't get better

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At handling tier two and tier three cases. It just turned into funnels.

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And we wasted a lot of time passing cases around.

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We had a quality team doing case reviews.

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But that was challenging because the engineers were busy.

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They were rushed. They were taking shortcuts.

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And so it's hard to really have a disciplined qa team doing great work,

13:33

Having great insights when the engineers are just dying on the line.

13:36

We adopted knowledge centered support.

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Casees, which i love. I'm a casees fan.

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And yet when engineers don't have time to write articles and you have a

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Very manual casees methodology, you're not going to get a traction of

13:54

Deflecting cases or surfacing solutions because everybody's just

13:58

Living and dying in their cases. We tried unified search.

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I love the xline stuff. I'm very excited about that.

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But we started trying to do search.

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But with knowledge gaps and challenges and displaying

14:13

Kb articles to customers, it wasn't very effective in deflecting

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Cases. It wasn't well adopted by engineers.

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Because they thought they already knew the answers.

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So why did they need to read the knowledge base?

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And so we just struggled. We had a leadership change.

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Whenever there's trouble, sometimes people at the top turn over.

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That wasn't effective in our change either.

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They brought a new idea. Didn't quite get there.

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We tried case closing parties. We tried unlimited over time.

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And ultimately pizza and mountain dew.

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We tried to just try anything that would work.

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And we just didn't move the needle.

14:50

Okay. So let's ask rob to show us a few fun stuff.

14:55

And then we'll come back to you and hear about the outcome and

14:59

The reason we started.

15:01

>> Right. So we're going to leave you waiting for the answer to

15:06

Chris's solution. In the meantime, I'm going to show you

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Our backlog and how it works and how we've tackled it from

15:13

Support logics perspective on how we can use ai, nl, national

15:19

NLP and all those things to be able to find and help target

15:24

What problems to have. Chris mentioned earlier about --

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You can have a backlog. If you have a backlog, you don't

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Prioritize the hot topics to urgent issues, then it's really bad.

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Because it's like a black hole, I've got a huge backlog of 836

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Cases. Which ones need attention?

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Which ones don't need attention? Which ones do the customer

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Maybe expect it to take a while? Because the customer expects it to

15:47

Take a while. That's fine.

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It can be in the backlog, maybe it's an engineering issue that

15:52

Will take a while and develop to fix it.

15:54

The customer is expecting answers ASAP.

16:02

Here's a couple ways that we've seen customer build these out

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Where they can make the backlog effective.

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I think a couple of the ones that i thought would be helpful.

16:14

This one can be filtered heavily.

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When you create these backlog lists, you can filter very

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Many ways. You can do by product one,

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Maybe you want to call this.

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On top of that, you can filter by anything you have that's

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Metadata. These are fields that are in your

16:32

CRM right now. They're in cell source,

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They're in zendesk and we'll ingest these into support logic.

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You can use those as filtering. The example i used before is

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Product number 2 or 1. Now i can filter by that one.

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Maybe i'm in charge of product one.

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I want to see the ones that are in the backlog.

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I want to sort it. I can sort of buy lots of things

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That are built in here by maybe the oldest case, maybe the

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Sentiment count. Maybe if i'm the product manager

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And i own the product, i probably want to see the ones that

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Probably have the worst sentiment score.

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Which one doesn't like the product the most.

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Now i can see that this ticket right here, these are zeros

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Or sentiment score. These are the ones that if i had to

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Pick which ones to tackle first, i would tackle the ones that

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Had the lowest sentiment score, the worst sentiment.

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That helps a lot. When you look in this list, this is a

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Long list. You can spend a lot of time.

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Another way example how you use this page is as a support manager

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If i've got maybe ten minutes to read now in x-call, what's the

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Best when you use ten minutes? i could read 900 cases or 800

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Cases or try to read all of them, try to figure out which one

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Of the needs by tension and not get it wrong and waste ten minutes.

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Or i could look at this list, look at my custom list, rank by

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Sentiment count or last inbound, this one here is the last

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Message was inbound from the customer 17 hours ago.

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Is that something i should be involved in?

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As a support manager i should probably open this up, click on it,

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Ping my engineer and say hey, this is 17 hours, but they're

18:11

Asking for help, can you please help with that.

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I can only hit the case summary and get a summary of it and

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Really know what's going on with that.

18:18

So my time management as a manager, most people mention it

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Say support managers like an hour a day in various areas.

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This is a big one right here, is be able to bring the best stuff

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To the top so that i can spend time effectively and give

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Resources to the tickets and cases that need resources.

18:36

Another area that i want to touch on that's related to this

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Is a little bit of alerting too because you can alert when

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Cases hit certain thresholds.

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An example i heard yesterday was one of our customers set it up

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Where the agent, if the agent owns a ticket, he's assigned to it

18:54

And the agent hasn't responded so the last one was inbound 48

18:58

Hours ago, right, so the agent gets a response via email,

19:02

Slack or teams, right, and then right after that the manager,

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Maybe 72 hours, the manager gets alerted.

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So if the agent does his job and responds to the customer at a

19:12

Certain time, right, it's more like SLA really, but the manager

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Gets involved if it's 72 hours now.

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So agent's incentive is to make sure he's always responding

19:22

Within 72 hours and this is going to be all automated, right,

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And you can add on top of this too, like if that's too much

19:28

Because you get lots of cases, you can quickly just add

19:31

Negativity, right, so if it's negative and this criteria,

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Then i want to hear about it, right, so you can really fine

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Tune these alerts to not make it noise, but make it actionable

19:40

So you can make that work for you there.

19:43

Anything else that you should show here, chris, that maybe

19:47

Impact to you and how you did that?

19:49

I really love the escalation board, the like lead escalate,

19:52

That's where we spend a lot of our time.

19:54

Yeah, it's like the money page.

19:57

It's like the easiest place to find ROI because we're

20:01

Predicting escalations. Everyone knows they're expensive, right?

20:04

So everyone knows that, and i give the example quite a bit

20:07

Where vp, i onboarded a customer, that's what i do a lot of

20:11

Onboarding, and the vp asks me, hey i got this email this morning

20:15

From an upset customer. Hey rob, did you happen to like

20:19

Predict that beforehand? And i was like, look, what's the case

20:22

Number? Look at the case number?

20:24

Yep, we did. We predicted it a week prior, and the

20:27

Support manager could have taken action on that and squashed

20:30

The escalation and the vp would have never heard about it.

20:33

Right, that's huge, right? vp is time expensive.

20:36

You get vp involved and several engineers, that's expensive.

20:40

So that alone is like the easy roi for sport logic, and this

20:43

Page is probably the favorite page for most customers.

20:46

Absolutely. All right, so let's go back to your

20:49

Story, chris. Before we listened to rob, you told us

20:53

About all the things you tried that did not work.

20:56

Yeah, we had problems. I'm assuming things did work.

20:59

We did. So we deployed sport logic about a year ago, and this

21:04

Is what worked. We reorged the department, or instead of

21:08

Around sla, or around --

21:11

Tears. Tears, we moved to an organization,

21:14

A product organization, a product pillar org.

21:17

And this helped, again, specialize agents so that they knew

21:20

The knowledge more closely, right? They don't have to know

21:23

Everything, they need to be experts in a product pillar.

21:26

We designated support engineers for key accounts called

21:30

Designated support engineers with dse's.

21:33

We recognized in the industry that these larger customers with

21:36

Bigger expectations were willing to pay for somebody that they

21:40

Could deal with on a repeated basis.

21:42

They didn't like this pooled support stuff.

21:44

So they actually paid more money.

21:46

We reweed, we pooled our support tiers.

21:50

They paid more money to get a designated support engineer,

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And all of a sudden we started getting some headcount into

21:56

The org because the customers were paying for their own

21:58

Engineers. That sounds like a profit center.

22:00

It does. And then we worked with rnd.

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We had this knowledge gap.

22:06

We started working and taking some of the swarming opportunities

22:10

That were missed. We started training around them.

22:13

Let's hold some monthly sessions around specific gaps.

22:16

How can we help our engineers be more effective troubleshooting

22:19

These things? How can we avoid the swarms back to the rnd team?

22:23

And just collaborating more effectively with our engineers

22:26

And really helping them feel supported.

22:29

We worked a case hygiene process again.

22:32

We brought in yet another leader who had this case hygiene

22:37

Methodology of let's get back to basics.

22:40

Let's get our engineers to write it down in the notes.

22:44

You know, let's get a good problem statement.

22:47

Let's write down the resolution.

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And let's get -- let's call the customer and have a problem.

22:52

Let's not just send off another case update.

22:55

Let's get on the phone and solve it.

22:58

This product pillar helped us organize subject matter experts.

23:02

Our tier twos became these product pillar experts who then

23:06

Started coordinating some of our SME activities.

23:09

They started doing some of our internal swarms and coordinate

23:12

With rnd, again helping to drive more knowledge back to the

23:15

Organization and allowing that initial engineer to get the

23:18

Knowledge to close the case so that they had it next time.

23:22

And then lastly, we adopted some measures within rnd about

23:27

The product quality standards.

23:30

We noticed that the percentage of cases that are in the held

23:33

Was maybe too high in the org and they needed to be held

23:36

Accountable to how much quality was happening and how many

23:40

Bugs were getting released back into the product.

23:43

So we worked closely with them to have a better overall

23:46

Experience for support helping them be more accountable.

23:50

Lastly, technology again.

23:51

This is where support logic really played well with us.

23:54

We deployed intelligent case assessment.

23:57

We started using support logic tools to assign, prioritize

24:01

Those cases and signals.

24:03

We started working with our managers in escalation

24:06

Predictions and preparing, giving them key insights into

24:09

Their engineers so that my agent view.

24:12

And then we started deploying the alerts that rob mentioned.

24:16

Helping them get visibility because we didn't expect them to

24:19

Work in support logic all day but sending them priority

24:22

Alerts when customers were going to escalate potentially or with

24:26

Really negative cases.

24:28

And so those all things kind of helped us get a wrangle on

24:31

Those customers.

24:33

>> Okay.

24:34

So let's brag now.

24:35

Results.

24:36

>> Results.

24:37

Okay.

24:38

So intelligent case assignment.

24:39

We saw 50% reduction in case assignment time.

24:43

It went from an average of three days down to one and a half

24:46

Days.

24:47

That's one and a half days of customer time where the case was

24:50

Now getting worked.

24:52

Again, a huge benefit to the customer.

24:54

We saw a 17% reduction in time spent with the engineer.

24:58

So this is the clock starts once we have the case until the case

25:02

Leaves the engineer.

25:03

So we went from an average of about six days to five days.

25:07

So a whole day reduced with the engineer.

25:09

We saw a 6% lift in case c sat.

25:12

And we started seeing support listed in those nps promoters.

25:15

Again, a signal that we're doing something right.

25:17

And giving value to the customers that they are repeating back to

25:21

Us in those surveys.

25:23

We saw a 30% reduction in all escalations.

25:27

And a 50% reduction in escalations that were for unresponsive

25:31

Cases.

25:32

So again, helping those engineers be more on top of all of their

25:35

Cases.

25:36

Taking action on those that are most urgent so they can be more

25:39

Effective and deliver more value to the customers.

25:42

>> That's fair.

25:43

>> That's very impressive.

25:48

>> Sorry.

25:49

Talking a little fast.

25:50

>> So you did great.

25:53

What are you going to do next?

25:55

>> We're really excited about our partnership with support

25:58

Logic.

25:59

So we're working with the product team and we're

26:02

Standardizing all of our alerts.

26:04

We found that some managers had really good alerts.

26:06

Some managers were getting 200 e-mails a day.

26:09

Which frankly, i don't know how they work.

26:12

So we figured we need to do some standardizing about best practices.

26:16

What alerts are we going to surface?

26:18

How do we do them in the right way so that the engineer gets the

26:20

Alert and the manager gets the alert and maybe the regional

26:23

Manager gets an alert so that we all get access to the same data.

26:27

We're integrating support logic into our gain site instance for

26:31

Our customer success teams.

26:34

Helping rework our health score so that customers with a

26:37

Negative support logic score could then be reflected back in

26:41

The same site so that we could be more effective working with those

26:44

Accounts and helping those tams and account managers be more

26:47

Successful.

26:48

We saw some stuff about case summaries.

26:50

So we're working with the product team at support logic to test

26:54

Out.

26:55

Case summarize and jai in our support teams.

26:58

So we've got that pilot going on right now.

27:01

And then with the assist and resolve sx that x find

27:05

Acquisition, we're really excited about that technology.

27:08

We think it's going to have a very meaningful impact to our

27:11

Business.

27:12

So we're targeting some proof of concepts to get rolled out later

27:16

This year and hopefully get those launched next year.

27:19

Lots of very exciting stuff for nice and support logic.

27:23

>> So we expect you back next year with even better numbers,

27:26

Right?

27:27

>> Better numbers.

27:28

>> Case deflection rates.

27:31

>> Yeah.

27:32

Okay.

27:33

Great.

27:34

So let's try to leave you with a couple of thoughts about

27:38

Backlog management if that's something you're interested in.

27:42

Step one, diagnose where your problem is coming from.

27:46

That's what you did.

27:47

If you don't know where the root cause is, then you will not

27:51

Fix it.

27:52

If you have problems with people, then you need to address them

27:55

With the people.

27:56

If you have problems with the product, you need to address

28:00

With the product, et cetera.

28:02

Idea number two is to really do something about backlog

28:06

Management.

28:08

Sometimes my clients, it seems to me, just hope that it's going

28:13

To work.

28:14

Hope does not work, right?

28:16

We need to have a real backlog management process.

28:20

And then, of course, the two of you really showed us that

28:24

Technology can make a huge difference.

28:26

>> Huge.

28:27

Yeah, it's a big deal.

28:28

>> We've been focusing on the backlog more recently because

28:31

The predictions that are so good, that gives the focus on customer

28:35

And they know that, hey, predictions are great.

28:39

But then the backlog tool is all those predictions combined

28:42

With all the sentiment.

28:43

It's a great way to tackle it.

28:45

It's actually focused last year to let customers know that

28:49

Hey, this backlog page is kind of a bad word sometimes.

28:53

But it helps you focus on what you can work on.

28:56

We've had one customer that built all these custom lists of

28:59

Backlogs.

29:01

And they perfected it so well, they want to copy to every user in

29:04

Sportlogic so the whole company is on the same page.

29:07

So if you guys want that, let us know, talk to your CSM about

29:10

Customizing some of that and maybe copying it to the other

29:12

Users.

29:13

Because it works really well at centralize everyone so they can

29:15

Standardize, like Chris said, standardize what they're looking

29:17

At.

29:18

So if you all measure the same metrics, you can all have the same

29:20

Results.

29:21

>> Wonderful.

29:22

Thank you so much.

29:24

If you have any questions, please grab anyone of us and

29:28

We'd be happy to answer them.

29:30

Thank you very much.

29:31

[Applause]

29:32

(applause)

29:34

(applause)