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.
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>> 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
1:10
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
1:29
Back log that's too old, then we start to have problems.
1:32
And all of the speakers we heard today said a lot of interesting things about
1:37
This, like it has bad effects on customers.
1:43
It's going to take a longer time to resolve cases.
1:45
Customers don't like that, so they will escalate. And if they escalate, they
1:50
Probably won't be too happy. So those are customer effects.
1:55
And then there are effects on us, vendors. And i would like to just highlight
2:01
the First one on the list here, which is this mental load idea.
2:05
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.
2:19
How many cases do you have in your queue? And i've noticed over time that if
2:24
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.
2:53
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.
3:19
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.
3:27
So they don't have enough technical skills. They do not have troubleshooting
3:33
Skills. These two things are different.
3:35
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.
3:44
Which is also something that could be taught.
3:47
And then there's more psychological stuff.
3:49
Like i don't know how to say no to customers.
3:53
If you've ever been in that situation, you know that by not saying no, then my
3:59
One question becomes 12 questions and 13 questions and 14 questions and
4:04
Pretty soon i can never close my case. So that's a problem.
4:08
And other psychological problem is i'm too proud or i'm too scared to ask for
4:15
Help. There is help available but i'm going to
4:18
Remain stuck in my case because i can't quite get out of my little world.
4:23
So those are people issues. The process issues to me are organizational
4:29
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
4:39
Properly. So there's a staffing issue.
4:43
Second problem would be anything that has to do with
4:47
Collaboration processes. So earlier we talked about the individual
4:52
Case owner being afraid of asking or too proud to ask but maybe there is nobody
4:58
To ask. That's a problem.
5:01
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.
5:12
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
5:36
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
5:44
use. So it generates a lot of questions into support.
5:48
So that's the diagnostic part of the backlog.
5:52
And now here is my idea at least of an ecosystem for backlog management.
5:57
So i think if you do all of these things, your backlog will be nice and healthy
6:04
I organize this people process product of course.
6:09
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
6:21
In the process category, there's two columns.
6:25
The first column is everything that has to do with the way we actually resolve
6:30
issues.
6:31
The second column is really about backlog management.
6:34
Two slightly different things. So around the product, i'm sorry,
6:40
Around the problem resolution. Right?
6:44
First idea is are we assigning cases to the right person.
6:47
Tally was here a little while back talking to us about automatic assignments.
6:53
That's the first issue. Right? If i assign a case to the wrong person,
6:57
Then it's going to sit there for a long time. Not good.
7:00
Second is knowledge management. Of course, what i call case clinics,
7:04
Some people call them scrums. So ways that we can share knowledge throughout
7:09
the day.
7:10
Right? Together. And then obviously a good swarming process
7:15
So that we can collaborate in real time when needs be.
7:19
All this is about issue resolution.
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The second column is about backlog management issues.
7:26
First idea, have resolution targets. There should be an idea within your team
7:33
Of how long it should take to resolve a case.
7:35
And if i go over that, then i probably need to go get help.
7:40
Right? Without stopping.
7:42
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,
7:55
And of course, escalation detection. I'm going to use one of chrisis
8:00
Term here, which is take the heat out of the back log.
8:03
It's okay to have stuff in the back log. That's not very urgent.
8:06
But if you have urgent stuff, that's a problem.
8:09
On the product side, we're not going to talk about that too much today,
8:12
But i wanted to have that in your mind.
8:15
Do you have internal service level objectives with whatever organization you
8:21
Depend on? Many of us don't. That's a problem.
8:24
And then do you have a voice of the customer program so that you can, on a
8:28
Strategic level, feedback to your product organization, things that need to be
8:34
changed.
8:35
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.
8:48
And it had to do with back log. We literally had hundreds of unassigned cases
8:54
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.
9:06
Am i with an engineer or am i still in the queue, if you will?
9:10
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.
9:30
And that led to kind of this squeaky wheel mentality.
9:34
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.
10:16
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
10:24
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
10:46
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
11:11
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.
11:35
And then we also started selling up markets, selling to bigger and larger
11:38
Customers. And these bigger and larger customers had bigger and larger
11:42
Expectations taking up more and more time. Wanting to hold on to tickets longer
11:46
And we just weren't positioned for that very well.
11:50
And struggled to meet those. Talking about the product issue.
11:54
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
12:03
Documentation. All of a sudden product managers say,
12:07
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.
12:15
And just trying to expose difficulties in that experience.
12:19
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.
12:29
But just challenging when we're under water in the organization.
12:34
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
12:49
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
12:57
A tiered approach. We had level one, level two, level three
13:00
Engineers and we thought this is going to help us.
13:03
But it was challenging because not every engineer knew everything about
13:07
All of these products. And the tier one engineers didn't get better
13:12
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.
13:19
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.
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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
13:49
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.
14:07
But we started trying to do search.
14:09
But with knowledge gaps and challenges and displaying
14:13
Kb articles to customers, it wasn't very effective in deflecting
14:16
Cases. It wasn't well adopted by engineers.
14:19
Because they thought they already knew the answers.
14:22
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.
14:41
And ultimately pizza and mountain dew.
14:43
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 --
15:27
You can have a backlog. If you have a backlog, you don't
15:30
Prioritize the hot topics to urgent issues, then it's really bad.
15:35
Because it's like a black hole, I've got a huge backlog of 836
15:39
Cases. Which ones need attention?
15:42
Which ones don't need attention? Which ones do the customer
15:45
Maybe expect it to take a while? Because the customer expects it to
15:47
Take a while. That's fine.
15:49
It can be in the backlog, maybe it's an engineering issue that
15:52
Will take a while and develop to fix it.
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The customer is expecting answers ASAP.
16:02
Here's a couple ways that we've seen customer build these out
16:08
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.
16:16
When you create these backlog lists, you can filter very
16:21
Many ways. You can do by product one,
16:24
Maybe you want to call this.
16:26
On top of that, you can filter by anything you have that's
16:30
Metadata. These are fields that are in your
16:32
CRM right now. They're in cell source,
16:34
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
16:42
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
16:58
That are built in here by maybe the oldest case, maybe the
17:01
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
17:06
Probably have the worst sentiment score.
17:10
Which one doesn't like the product the most.
17:13
Now i can see that this ticket right here, these are zeros
17:16
Or sentiment score. These are the ones that if i had to
17:19
Pick which ones to tackle first, i would tackle the ones that
17:23
Had the lowest sentiment score, the worst sentiment.
17:26
That helps a lot. When you look in this list, this is a
17:29
Long list. You can spend a lot of time.
17:32
Another way example how you use this page is as a support manager
17:36
If i've got maybe ten minutes to read now in x-call, what's the
17:40
Best when you use ten minutes? i could read 900 cases or 800
17:44
Cases or try to read all of them, try to figure out which one
17:47
Of the needs by tension and not get it wrong and waste ten minutes.
17:50
Or i could look at this list, look at my custom list, rank by
17:54
Sentiment count or last inbound, this one here is the last
17:58
Message was inbound from the customer 17 hours ago.
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Is that something i should be involved in?
18:04
As a support manager i should probably open this up, click on it,
18:08
Ping my engineer and say hey, this is 17 hours, but they're
18:11
Asking for help, can you please help with that.
18:13
I can only hit the case summary and get a summary of it and
18:16
Really know what's going on with that.
18:18
So my time management as a manager, most people mention it
18:21
Say support managers like an hour a day in various areas.
18:24
This is a big one right here, is be able to bring the best stuff
18:28
To the top so that i can spend time effectively and give
18:31
Resources to the tickets and cases that need resources.
18:36
Another area that i want to touch on that's related to this
18:39
Is a little bit of alerting too because you can alert when
18:42
Cases hit certain thresholds.
18:44
An example i heard yesterday was one of our customers set it up
18:48
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,
19:06
Maybe 72 hours, the manager gets alerted.
19:09
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
19:16
Gets involved if it's 72 hours now.
19:19
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,
19:25
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,
19:35
Then i want to hear about it, right, so you can really fine
19:37
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,
21:53
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.
22:04
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.
22:49
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)