Dive into the transformative world of customer onboarding with Agnes and Marek as they unveil how cross-functional alignment and strategic automation revolutionized their approach. From uncovering surprising interactions that drive value to streamlining onboarding processes, this session promises a wealth of practical insights. Learn how these advancements not only refined their onboarding delivery but also significantly enhanced the overall customer experience. Don’t miss out on actionable strategies that could elevate your onboarding success.
0:00
Hello and hello. Hey everybody, welcome to your start now with the last session
0:08
of the
0:09
day. It's going to be a really great session. I'm a bit biased because they're
0:12
a customer
0:13
of mine. But just a few housekeeping rules, in case you haven't had a chance
0:20
yet to ask
0:20
questions via the app, you have track two or in track two now. So if you want
0:25
to ask
0:25
questions during the presentation, please add those questions via the app. We
0:29
're going
0:29
to have a Q&A at the end, about 10 to 15 minutes at the end. You can up vote
0:34
the questions
0:35
as well. And in case you haven't heard, you're going to have all the slides and
0:40
also the audio
0:41
recording. So of course, take pictures, take notes, but don't stress too much
0:45
because you're
0:45
going to have all the material. Good. Now that the housekeeping is out. We're
0:51
going to have,
0:52
as I said, this session today, which is going to cover a lot of the work that
0:56
the team at
0:57
SAP, Lein Ix did about onboarding and about looking at this sort of process in
1:02
a different
1:03
ways. And we're going to have two amazing speakers that are going to join me on
1:07
stage
1:07
in a second. We have Agnes, Geruski, and Marek Schumann. And they're going to
1:15
be covering
1:15
kicking off digital onboarding for learnings from across functional task force.
1:21
So join
1:22
me with a big applause to welcome them on stage.
1:28
All right. Good afternoon, everybody. Final session. We are pretty much what
1:40
separates
1:41
you from the after work beer. This is Agnes, obviously. I'm Marek and I could
1:45
give you
1:46
a lengthy introduction of what Agnes is doing in the CSOPs team. The great
1:50
things that she
1:51
has already contributed, not only to this task, but others. Likely I could do
1:55
the same thing
1:56
hopefully about me, but this is not that interesting today, right? So the
1:59
reason why
2:00
Agnes and I on the stage here today is the topic at hand. We played a crucial
2:05
part amongst
2:06
others in designing and implementing a digital. Now what you can expect out of
2:11
today's session
2:12
is not a silver bullet of how to do digital onboarding, obviously. But what we
2:17
want to
2:17
share here is a little bit the things that we have learned over the last couple
2:21
of months
2:21
or one and a half years so that you can hopefully copy that. But we also want
2:26
to share the things
2:26
that we did and are not that proud in hindsight of doing. So please don't copy
2:32
those ones.
2:33
Before we jump into the topic itself, just who of you guys has already dealt
2:37
with onboarding
2:38
in detail or has a well-established onboarding practice within their firm? Just
2:44
... all right.
2:44
Can work with that. Just quickly keep your hands up for a second and look
2:49
around. So
2:50
there are a lot of fans up in this room right now. Now as I said, with the last
2:53
session,
2:54
we can take it down again. We only have 30 minutes. We will not answer all the
2:58
questions.
2:59
We will barely scratch the surface. So you delight because ultimately we have
3:03
interesting
3:03
things to share but again there's no silver bullet so I'm pretty sure there are
3:06
some hidden
3:07
gems in this crowd here today as well. Now we know who Agnes is. We know who
3:14
Maric is.
3:14
We don't know who Lina exists. Lina exists in enterprise architect vendor. So
3:19
we built
3:20
a tool for enterprise architects. For those who don't know what end before the
3:23
definition
3:23
here, it's a tool that helps you to bridge the gap between business and IT.
3:28
Obviously,
3:29
to run a business, you need applications, you need systems, you need technology
3:33
to run
3:33
it. That creates quite a complex ecosystem ultimately. And Lina exists a tool
3:38
that helps
3:38
to connect the dots and ultimately helps to keep things running, answering
3:42
questions such
3:43
as how does my app make app modernization, rationalization, you name it. As you
3:48
might
3:48
have guessed, this is quite a consulting heavy discipline and this is not any A
3:53
. Well, speak
3:54
today but it helps to understand also the problem statement that we tried to
3:59
solve.
4:00
Now we were founded in 2012 in Germany and it took us a little bit over, let's
4:06
say,
4:06
five and amongst those customers by the way was also SAP. And it took us
4:12
another, well,
4:13
it was three to four years to then come to 500 customers ultimately and just
4:17
another
4:18
two years to double the amount of customers to 1000. This was also the year, 20
4:23
23, where
4:24
SAP decided that's a pretty cool tool. Let's buy the rest of the firm, that's
4:28
how we get
4:28
those three letters in front of our name. So I know it's SAP Lina X. And today
4:33
as we speak,
4:33
we look at roughly 1,400 customers. We have an NPS on average of 64, recognized
4:40
as leader
4:41
in the enterprise architecture discipline. So I tell you those things, I think
4:45
we did a
4:46
pretty solid job. And that's good, that's beautiful. But it's created a
4:50
challenge. And
4:51
it's a challenge that quite frankly, I wish all of you to have ultimately, that
4:56
's a good
4:56
problem to have. Nonetheless, how we reacted in the past to more and more
5:00
customers was
5:01
taking human capital and just throwing it on those customers. And again, we did
5:05
it quite
5:06
successfully. But at a certain point in time, we needed to find a way to scale
5:10
it while staying
5:11
customer centric. So what we tried to do ultimately is we tried to marry the
5:16
customer needs with
5:17
our business needs and find this sweet spot in the middle over there. Obviously
5:21
, if you don't
5:22
need your business needs, you don't have a business to run. So we tried to stay
5:26
there in the middle,
5:27
we tried to do more with less ultimately, find this scalable approach. And one
5:32
of the
5:32
levers that we tried to pull was in the end customer onboarding. What we did
5:36
there, this
5:39
is a map of Amsterdam. And I have a very, very simple question for the room.
5:43
How do we get to
5:44
our destination? Obviously, that's a pretty dumb question because I haven't
5:52
told you where
5:52
we want to go. Now I did my research, there's a bar called Taste that looks
5:55
like a pretty cool bar.
5:57
So let's rephrase that question. How do we get to... Good point. But I think
6:05
one crucial step
6:06
before we jump into our Uber is we need to know where we are, right? We should
6:09
the Uber pick us up.
6:10
And I mean, with the map, it's quite obvious. We always need to know where we
6:13
are, we know where
6:15
we need to go, and then we can talk about if we take a Uber or public
6:17
transportation. But while
6:20
it is very obvious with maps, there's one thing that we commonly see when we
6:24
onboard customers,
6:25
when we take a look at ourselves at SAP Linux, or even if we take a look into
6:29
SAP,
6:30
people love to talk about where they want to go. And everybody has a quick
6:34
opinion on
6:35
about vision and dreaming big, and everybody also is very much ready to jump
6:39
head over heels into,
6:40
we need to do one, two, three AI scale, digitalize it whatsoever. But what
6:46
people
6:47
commonly forget is understanding where they are. Sounds very simple, trust me,
6:52
it's it. We will try
6:53
to understand today what was our current state, or is this. We will try to
6:57
understand our vision,
6:59
our guiding north star, where we want it to be, and only then, only then we
7:03
will talk about our
7:04
Uber, which is getting from this as is to the to be. Now, understanding our own
7:11
reality,
7:11
onboarding is obviously a topic that was not new to Linux itself. I'm pretty
7:19
sure it's also not
7:20
a topic that is new to any Zas vendor as soon as you had your first customer,
7:25
because if you wanted
7:25
or not, you already did onboarding as soon as you have customers, sometimes
7:29
directly,
7:30
sometimes indirectly. Now, when we started to understand our status quo, we
7:35
wanted to go out
7:35
there and ask the obvious questions. How do we do onboarding? What makes our
7:40
customer successful?
7:41
What doesn't? What do they do? What they're supposed to do? Two very separate
7:45
things at this
7:46
point in time. So there were a couple of obvious questions, but one was key to
7:50
us in the very
7:51
beginning, and that was going forward, who is supposed to own onboarding. Now,
7:58
in the old world,
7:59
at Linux, at least CSMs were primarily supposed to onboard customers, and they
8:04
again did that
8:05
quite successfully. But ultimately, onboarding itself was as diverse as it can
8:10
be. There were
8:11
some best practices developing over years. Naturally, they were used in
8:14
different regions, but
8:15
there were long onboardings, fast onboardings, good onboardings, a lot of bad
8:19
onboardings.
8:20
There was just no standardized way of saying, "Hey, this is how we do onboard
8:24
ing."
8:26
Now, what we did at this point in time, we wanted to make sure that in the
8:30
future,
8:31
all the decisions around onboarding are being met swiftly, fast, and exit the
8:36
table, and we
8:36
named that our onboarding task force. First of all, that deserved to sit on
8:41
this table was a
8:42
specialized group of CSMs, our so-called CS onboarding managers. The second
8:48
group that deserved to
8:49
see that the table was our product team. We talked about scalability,
8:53
potentially automating.
8:55
Who knows? Obviously, we need an enablement to this round, because in the end,
8:59
onboarding is also
9:00
a lot about knowledge transfer. Now, there was one-fourth seat, and we come to
9:04
that a little bit later.
9:06
However, with this, we already formed our task force, allowing us to have short
9:10
decisions
9:11
and executing on them swiftly. Around that, we had circles of influential
9:16
parties,
9:16
of informed parties, leadership aligning our states and forms. That was a
9:21
little bit the
9:22
operating model that then formed, allowing us to move swiftly forward. Next up
9:28
was understanding
9:30
where are we, what do we do well, how does onboarding look like, but also how
9:34
should it look like
9:34
in the future. One, we had to start somewhere, so there must be a start of
9:38
onboarding, and number
9:40
two, there must be an end of onboarding. And what is onboarded, but that's a
9:45
whole new session
9:45
and another two hours. We can talk about that later, but as a second step, we
9:50
also wanted to
9:50
understand what happens in between. How do customers get from the map? Because
9:56
when we talk about
9:56
scalability, we need to standardize in the first place, and we want to standard
10:00
ize, we do need to
10:01
understand. So, at this point in time, we simply took a look at how onboarding
10:07
currently looks like,
10:08
what works well, what is a good onboarding journey, and we might find something
10:11
like this.
10:12
We're ditched in the middle, looks kind of promissile, I don't know what
10:16
happened there, but it's fine,
10:17
we're good to go, and we found pretty much any other journey that you can see
10:22
or imagine out there.
10:22
Now, the big question for us was, what is a successful onboarding journey? And
10:28
we heard that a couple
10:29
of times throughout the day today, well, it depends, right? It always depends.
10:32
And in this case,
10:33
there were so many influential resource capacity contacts, this list goes on.
10:38
So, in the end,
10:39
every customer comes with a different problem setting to you. They want to
10:43
achieve different
10:43
things. And here we are now trying to standardize that. That doesn't sound like
10:48
fun, doesn't it?
10:49
But in the end, we took a different approach. We reversed engineered it a
10:53
little bit. We took a
10:54
look at what is onboarded and what needs to happen at the customer, because CS
10:59
Ms love to talk about
11:00
exceptions, right? When I ask a CSM, like, hey, we should do x, y, z, yeah, but
11:04
I have the customer
11:05
that does KBC, yeah, but you also have 30 customers that do x, y, z, right? So,
11:09
that's what we try to do.
11:11
We try to focus on the 30 customers, because in the end, what we try to
11:14
generate was the
11:15
biggest common denominator of all of those journey, something that is not a
11:19
perfect fit for everybody,
11:21
but in the end, represents a little bit the guidance. And so, almost relevant
11:26
for all customers.
11:27
And we refer to this going forward as the happy path.
11:31
Now, the happy path was a lot about similarities, less about the exceptions.
11:37
And the happy path
11:38
guided us ultimately with a common operational model, so that we could speak
11:42
the same language
11:43
and make our decision path. It was, on the one end, clearly prioritizing, right
11:47
? Also focusing
11:48
on the similarities. In addition to that, we kept in mind that this happy path
11:53
was not supposed to
11:55
provide the full on journey that you need to follow step by step by step, but
11:59
rather provide
12:00
guidance without limiting the customer to that journey. And lastly, when
12:04
conversations got really,
12:05
really complex, it often helped not to talk about what definitely no goals or
12:09
what the customer
12:10
shouldn't do. And with that, we came to our first learning and setting up this
12:15
digital onboarding
12:16
practice. Find your happy path. Sounds easy? It's not. But with a couple of
12:21
tricks you'll get there,
12:22
make sure that you have the right people at the table to execute your decision
12:25
fastly,
12:26
form your onboarding task force group. And second, you need to have a common
12:30
language
12:30
that you can refer to. You need to standardize before you scale. Now, at this
12:36
point in time,
12:37
we understood our status quo, and we had a pretty good idea where we wanted to
12:40
go to,
12:40
right? Our happy path more or less. Now we need to talk about the third thing
12:44
when we think back
12:44
to the map, our UBA. So how do we get from where we were to where we want just
12:49
fast?
12:50
Onboarding, and that holds true not only for us, but I believe for most people
12:54
in this room,
12:55
has some key essential parts on a very high level. In our case, and again, for
12:59
many of us here too,
13:00
it's enablement. We need to transfer knowledge, right? In the end, we want to
13:04
make sure that
13:04
the customer can drive this forward in their own pace. The second big point for
13:09
us in onboarding was
13:10
quick wins. It's a decisive part of the journey. First impressions matter, and
13:15
we need to make
13:15
sure that we create the stickiness in onboarding, right? So that after onboard
13:19
ing, people have
13:20
something that they can show to their budget holder that motivates them that
13:23
they want to continue.
13:25
And lastly, we of course also wanted to educate our next steps, which is often
13:29
by the way quite
13:30
underestimated. Onboarding is a hyper-careface. You will not able to execute
13:35
this until the
13:36
end of the customer lifecycle. So we needed to make sure that customers can
13:40
grow on their own,
13:41
know where they can get help, etc. And if you remember back to the very first
13:45
slide,
13:45
we had this too beautiful circle. We wanted to scale, right? Doing more with
13:49
less. So we
13:50
helped ourselves accountable to some principles, making the self-service, also
13:55
bringing the knowledge
13:56
as closely as possible to the customer. Secondly, we wanted to make itself
14:00
paced. That means that
14:02
in the end, the customer is back in the driver's seat, and we pushed them a
14:05
little bit, but they
14:06
can determine when is what relevant to them. And the third point, personally, I
14:11
'm a strong believer
14:12
of the power of the dualists we wanted to, that you can take. How the
14:16
translator to our world
14:18
is as follows. We split up our customer success journey into onboarding and
14:24
anything that happens
14:25
after. We had a decisive moment in the middle when onboarding was completed. So
14:30
when those three
14:31
essential criteria are where hopefully to a certain extent met, customers
14:35
transitioned from
14:36
onboarding to continuous, yes. And there was a lot happening there, but we per
14:39
relate, that's not
14:40
part of the onboarding right now. And then we started to put all of this
14:44
content into different
14:45
pillars for slides optimized for bigger screen. So either take a simple. At
14:50
this point in time,
14:51
we had, for us at least, a scalable digital onboarding journey, and we were
14:55
ready. It was
14:56
just one problem. Our customers were not really ready for that, because due to
15:01
whatever reason,
15:02
our customers really love to talk to people. So we somehow needed to talk to
15:07
them. And that's
15:08
fair. It's lovely customers that we have, right? So we started to add also a
15:12
couple of human
15:13
touch points in there, office hours, Q&A's, which helped us also to feed it
15:17
back into our digital
15:18
journey. We added a pooled welcome session, one-on-one touch points, et cetera.
15:22
In the end,
15:23
you might think, well, that's not automating. That's not digital onboarding.
15:26
Well, it actually is,
15:28
because a common misperception is digital onboarding. It's not about full
15:32
automation or
15:33
digitizing everything. It's about making sure that we get those high frequency,
15:37
low value tasks
15:38
out of the way, and we can focus our work on what actually generates. And that
15:42
's what we try to
15:43
also do with this journey. Now, it's my favorite slide, actually. So we were
15:51
very much aligned
15:52
on what we wanted to do. We had a great vision of where we wanted to be, and we
15:55
now wanted to
15:55
close the gap of our current onboarding from an operational point of view to
15:59
where it was supposed
16:00
to be. We wanted to go to the stars, so we needed to build a rocket ship. That
16:04
's just one thing
16:05
about rocket ships. It does take a lot of time to build a rocket ship. And at
16:09
the same time,
16:10
we went all around boarding. Back in the days, looked a little bit like this,
16:13
like a funky donkey.
16:16
We were tempted to go for the quick win. We wanted to have the most powerful
16:20
next step.
16:20
In donkey terms, that means something like this. So we were ready to put a jet
16:26
pack on a donkey,
16:27
which is impressive. But I think we can all agree it doesn't know the donkey
16:30
rocket and the jetpack,
16:32
but it was actually the tale of Hunter and Dabbot. Rooted one year ago here at
16:37
Gainside Pulse,
16:38
because I went to my team and I was like, "Guys, I got it." Journey Orchestr
16:44
ator, we can automate
16:46
our day zero communication, World
17:02
using Journey Orchestrator.
17:08
We then we got it all set up. We had different language requirements, regions.
17:11
We had a pretty
17:12
cool communication plan. There was just one problem. It was just not relevant
17:17
anymore.
17:18
We moved fast. We had a different process. We fell for it. We fell for the
17:22
and we started to optimize our status quo. And that was a huge waste of time.
17:28
half months of work, put in the trash can, and started over again. Still not
17:33
Different story. So when you do that, do yourself or try to optimize for the
17:37
outcomes. And that is
17:38
our hurtful second learning at this point. Just because you can, you really
17:42
shouldn't. If you
17:43
want to close the strategic gap, do it from both ends. The operational point of
17:47
view, as well as
17:49
the strategic point of view. Thank you, Mark. So, Mark shared about the
17:55
beginning of the task
17:56
force. And he shared the principles that guided the task force when creating
18:01
the overall customer
18:03
journey. It was self-paced, self-serve, and actionable. But what does that
18:08
actually look like?
18:10
This is what we launched. You can see it here on the side directly within the
18:15
workspace.
18:16
We see harmonized milestones and tasks added with relevant academy content from
18:23
our learning
18:24
management platform. And best practice metrics per milestone that give instant
18:29
actionable feedback
18:31
to our customers. All brought together directly at the customer's fingertips
18:35
within the workspace.
18:36
And in addition to that, all of this is supported by a single source of truth
18:42
for our customer data.
18:43
And for us, this is Gainside. This is what was launched. And we were very proud
18:54
And then we were asked, are you successful? And the harsh truth is we did not
19:00
know.
19:01
We had built a journey that was supposed to help our customers in achieving
19:06
their goals.
19:07
And we're very proud of it. But we did not know whether our customers were
19:14
achieving their goals,
19:15
nor where they stand within that journey.
19:20
Mark said it before, the task force were three teams. I joined.
19:24
And we were four. And the first thing we wanted to look at was at reporting,
19:33
the end of onboarding.
19:34
What did customers actually do? And how did they feel about it?
19:38
So the first thing when I joined the task force was to revamp the onboarding
19:42
satisfaction survey.
19:44
It was a survey that had grown over time. Many questions and, yeah, the conf
19:50
luence page about
19:51
that survey actually states quite a lot of fluff, not really making any use of
19:56
it.
19:56
So we revamped it, making it five questions. But satisfaction, value achieved,
20:03
feedback around the interactions and touch points, and improvement
20:07
opportunities.
20:09
One survey for all teams, all the delivery models. And the second step, or the
20:15
second thing we also
20:16
looked at was the customer's workspace. We created a dashboard working against
20:22
site
20:22
with customer data, the onboarding looking at the customer's state after
20:27
onboarding,
20:28
allowing us to compare again against regions, teams, delivery models,
20:34
ultimately allowing us
20:36
to derive structured learnings from these insights to continuously improve our
20:41
onboarding practice.
20:42
But understanding that a customer didn't do something we considered to be
20:48
relevant
20:48
wasn't enough. So we didn't stop understanding or helping our customer success
20:54
onboarding specialists to understand where their customers stand, at one
20:59
glimpse, having a look
21:01
and understanding of the portfolio. Again, two different things. One is another
21:08
dashboard.
21:08
In gamesite, looking at the customer's progress within their workspace over
21:15
time,
21:15
making it visible whether they were trending positively or negatively over time
21:20
. And recently
21:23
started automating or implementing automated CTA's that would turn milestones
21:29
after a while of time.
21:31
Again, making the customer success onboarding manager aware so that they can
21:36
intervene.
21:37
Because Maric said it wonderfully, you can create a happy path that works from
21:42
the we try to make
21:43
it as easy as possible for onboarding specialists to intervene and to suit most
21:48
impact.
21:51
So for us, the third learning is to light up the black box of customer onboard
21:56
ing.
21:57
Because you can't improve what you can't measure. So we'd recommend to involve
22:01
CSOps a little earlier.
22:02
So we get standardized insight.
22:08
So our approach was to land, learn and expand. We landed, defining a clear
22:17
scope of onboarding,
22:18
defining a clear customer journey, clear milestones, interactions and that's
22:24
what we launched.
22:25
Then we put measures in place to learn from it through reporting and monitoring
22:31
And now it was the next time for the next step to expand.
22:35
And then next.
22:39
But having standardized cross-functionally agreed upon insights made available
22:48
really allowed us to cut through the noise. Because we had the data.
22:51
And it was agreed upon making it visible helped us to really raise awareness on
22:57
what matters.
22:58
What we see here, not very well, how this adopted as we wanted to.
23:03
And this is considered to be crucial during onboarding. Making this available
23:09
became like
23:11
these insights became a company-wide initiative. Clearly prioritizing based on
23:17
the data what we
23:18
had made available. And sharing these insights does not only help the
23:23
continuous improvement,
23:25
the other teams in the subsequent steps of the customer journey. Because we
23:29
really do understand
23:30
now what happens and what does not happen during onboarding. Ultimately with
23:35
that, multiplying
23:37
our impact. So as a fourth learning, we would say digital onboarding is really
23:44
just the starting
23:45
point for the digital customer journey. It sets the foundation, it sets the
23:50
expectations
23:51
and it helps with the collaboration and based on these quantified insights,
23:56
we can gather and drive learnings and move from there.
24:02
Those were four learnings that we went through over the course of one and a
24:07
half years, approximately.
24:10
But what did we actually achieve with that? All in all, summing it up, having a
24:18
clear customer journey,
24:19
clear prioritization and clear guidance had direct and industry. For our
24:27
customers,
24:28
it meant that we increased customer value and we have time to value. Internally
24:36
for our customer success onboarding teams, we finally knew where our customers
24:41
were, what the
24:41
friction points were, where they would get stuck and when it makes sense to
24:45
intervene.
24:46
And with that, we got a much more clear, resilient and transparent onboarding
24:51
delivery.
24:53
And it reduced the workload. Internally, it also helped, having an
24:59
understanding of what
25:00
happens during onboarding, how everything gets adopted, what the state of a
25:05
customer looks like
25:06
after the end of onboarding helped with the internal collaboration. So all in
25:12
all, we went
25:14
through those four learnings in the course of about one and a half years. But
25:18
in the interest of
25:20
time, let's wrap it up. As a first step, Marek told us about building the task
25:24
force,
25:25
really understanding which stakeholders and key stakeholders are relevant to
25:32
build this
25:33
onboarding experience, find the same language and define the happy path. We
25:39
then did some attempts
25:42
to automate and learn where it makes sense versus where it doesn't make sense
25:48
and learn to not
25:48
fall for the quick one. And we put measures in place to report and monitor, to
25:55
ultimately
25:55
continuously took those learnings to implement them to develop even further. So
26:01
those were our
26:02
four learnings and these came in a subsequent manner. So there is no rush to
26:09
address the third
26:11
or fourth one prematurely. All in all, we can just recommend to build your task
26:17
force,
26:18
find the same language, build your happy path and scale from there. Thank you
26:23
so much.
26:24
Thank you guys. I need to be in the middle, so I have the mic here. So we do
26:36
have some time
26:38
for questions now. And then we all meet at the tail experience. Yeah, I saved
26:44
that on my map.
26:46
So let's start with questions. And if you haven't put your questions in,
26:51
just go on your app homepage. You can appvote the ones that are of most
26:55
interest for you.
26:56
And I've seen that donkey, like probably one of the first ones. But yeah, who
27:09
wants to take
27:09
the donkey question? I can, that's my level of expertise. I got this.
27:15
So who drew the donkey? At first attempt was that a child actually drew it,
27:18
draws the dog with old friend the internet to find a good donkey picture. I
27:22
think it was page
27:23
three where we found the donkey of our dreams. Good. In case anyone was
27:28
wondering.
27:29
Which type of customers are targeted to the digital onboarding? And do you also
27:36
include
27:36
large strategic accounts in that? Okay. So to answer that,
27:45
quite try to abstract it a little bit. Digital onboarding is not something as a
27:51
vision. We
27:52
are not fully there yet, right? Where we see a differentiation in between high
27:56
touch or low
27:56
touch customers, big or small customers. We rather see it as a fundament where
28:01
every customer
28:02
needs to go through. And if you have a customer that for instance, then has a
28:05
higher ARR,
28:06
or is very strategic for you, on top of that, we then try to build up
28:10
additional services.
28:12
Let that be more touch points for instance. So right now we do have a
28:17
onboarding approach and everything below or above that actually goes through
28:20
something else.
28:21
But yeah, the future is pretty much that. Having this digital layer and then
28:25
building
28:26
additional extra services on top of that if the ARR increases.
28:31
Good. We have a question, Arctic, would you recommend when the survey response
28:37
rate is too low?
28:38
I can take that one. I know it is a challenge that sometimes when there are too
28:46
many surveys,
28:47
the response rate drops. So for us it was really important to make sure that it
28:53
is one
28:54
concise survey after the end of onboarding. That is quick to fill in. As
29:00
mentioned, five questions
29:01
shouldn't take longer than two minutes max with the option to add comments. But
29:08
that's not
29:09
mandatory. And really to make sure the customer can answer right away. And in
29:18
the email that we
29:19
sent out, it is also indicated how long the survey would take them. And yeah,
29:27
it is a standalone
29:28
survey. There are no other surveys sent around that time within our customer
29:32
journey. So that
29:33
had helped us at least. Good. Next question about where did it all start in
29:42
your onboarding
29:43
and or what led to the priority? I can give it a shout, although I know that
29:49
leadership is in the
29:50
room and already smiling at me. There was not a decision that I took. But the
29:54
pain point that we
29:55
have outlined in the very beginning was the need for scale while maintaining
29:59
customer centricity.
30:00
Right? So the tipping point, I think we cannot narrow it down to one event that
30:05
happened. But
30:06
rather, as you have seen the growth numbers in the very beginning, they are
30:10
close to
30:10
quadratic ultimately. So do the math. You can't just hire more and more. Before
30:15
that, we had a
30:16
more linear function in between the CSM and how many customers they can onboard
30:21
or take care of.
30:22
The problem is if your customer base is growing almost quadratically or
30:26
exponentially and your
30:28
function of taking care of customers is linear, that doesn't go well. So we
30:32
needed to find a way
30:34
where we again can do more with less. So it was nothing that we did reactively.
30:39
It was rather
30:40
something that we did proactively. Luckily. Good. I think we have a question
30:48
about,
30:49
let me go into the onboarding trend score because I know that you share that
30:54
slide with all the
30:55
score and of course it slides a small, you're going to get them. But can you
30:58
just talk us through on
30:59
what builds up an onboarding score? Yeah, the score we saw is a mixture of
31:06
engagement metrics
31:08
and setup metrics all coming together to broken down to what we expect the
31:13
customer to do at a
31:14
certain stage during the onboarding and then whether they meet or do not meet
31:19
these expectations
31:20
accordingly. To be transparent, we're also revamping that. So it's always a
31:26
constant work in progress
31:28
to make sure it really adds value to our customer success onboarding teams. And
31:35
we're again enriching
31:36
it with triggers with CTAs that then where we would expect a customer to have
31:43
achieved a certain
31:44
setup and if that is not met then brought forward. So somebody could look into
31:48
that.
31:49
If I was adding one or two sentences, that's how we ended up with that. But in
31:55
the end on a more
31:56
generic level, we had two to three categories that we took a closer look at.
32:02
Number one was
32:02
content naturally, right? So we have work spaces, we have a tool more or less,
32:07
we want to of course
32:08
make sure that there is stuff in the tool and not only the right stuff but also
32:11
enough of after all
32:13
our tool relies heavily on collaboration. So we want users to be in there. We
32:17
want to see if we
32:17
have regular traction. Do people look into it? Do they come back after they
32:21
looked in for the first
32:22
time? And then thirdly, which was a little bit specific to us, we started off
32:26
with complexity
32:28
measures. I believe we dropped that by now because we have seen when it comes
32:31
to modeling, etc.
32:33
there were some clear no-goes, right? And that's something if you remember
32:36
slide three or four
32:38
where we said it's often not that we tried to track some of those points where
32:41
we knew if this
32:42
happens, we should talk. So that was also quite helpful for us. Good. An ever
32:49
green question about
32:50
a customer lifecycle, how did the onboarding to CSM or how does it work in SAP
32:56
Lunayax,
32:57
the sort of transition between the two functions?
33:03
I have to smile a little bit, right? Because I'm painting a picture of good.
33:11
Again, if we have
33:12
the right people at the table to talk about it, we can resolve this. So on
33:16
paper, we really wanted
33:17
to make sure that onboarding serves as a quality gate. And so that we kind of
33:22
harmonize the output
33:23
of onboarding. What comes out of onboarding should be well-unboarded, qualified
33:28
, engaged customer.
33:29
Now, then reality hit a little bit. And we noticed, okay, sometimes people also
33:34
buy the tool,
33:35
lose interest, notice it was not the right tool or they simply leave the
33:39
company. What should we do
33:40
with that? That body's in the basement, right? So there are so-called cold
33:44
customers. And we need
33:46
to make sure that we also have, when it comes to this handover, we have a clear
33:50
set of, let's say,
33:52
well, outcomes, the onboarding essentials. Is it enabled? Do we have data in
33:56
the tool?
33:56
Do they know what's coming next? Are they educated on that? And we are now
34:00
trying to make sure that
34:01
we kind of are strict down the harmonization of this quality gate that we only
34:05
allow customers
34:06
that tick those boxes. Another question, envisioning the sort of onboarding for
34:15
a smaller startup
34:16
without a tool like inside or a CSB. And maybe without a dedicated onboard and
34:21
have a look at
34:22
the type of process. That's a perfect question for magnets. Perfect. Well, the
34:28
way I like to look
34:29
at it is that it really does not necessarily depend on the tool nor the team
34:34
structure. But
34:36
I think something that everybody or every company, no matter how big or small
34:41
they are,
34:42
can do is to define how a customer state should look like customer success
34:49
onboarding or CSM or
34:52
anything in the middle. So really looking at the state that is ideal, the
34:57
definition of done,
34:58
and then deriving from that how customers can get supported in achieving these
35:04
goals.
35:05
And that can be either through a call and every call is one on one that works
35:10
too,
35:11
that has worked for us as well. But it can also go through other, for example,
35:16
digital channels.
35:17
It can go through emails, it can go through an academy, it can go through a
35:23
mixture of these
35:24
digital measures. And it's not necessarily dependent on a tool like inside. I
35:29
would say
35:30
though that gain types, a gain type helps a lot or a tool like gain side
35:35
because it is a single
35:36
source of truth for the customer data. And I would say that this is really the
35:40
foundation in order
35:41
to make informed decisions and in order to automate effectively and to drive
35:46
insights
35:47
from those customers that then were onboarded. And it becomes even more
35:50
powerful if you feed in
35:52
workspace data to really understand the state of a customer at a certain point
35:56
in time.
35:57
And then based on that, drive even more automated actions.
36:02
Nice. Anything to add? I would add two things. I think that was holistic but
36:06
number one is
36:07
expectations management. Onboarding is I have the feeling 50% of us is just
36:12
telling the customer
36:13
don't do this now, right? Or this is what you can expect and not that. Often
36:17
you also,
36:18
in onboarding as a filtering discipline, you have to readjust the expectations
36:23
that were created
36:24
in the presace phase, for instance, right? So expectations management is key
36:28
and that is
36:28
something that every company can does independent whether they use tools or not
36:32
And the second thing is something that everybody says, I shouldn't do, I will
36:35
do it anyway,
36:36
translating a German idiom here who writes it downstays the longest. So
36:41
document it. Because
36:43
even if you don't have a dedicated onboarding team, chances are high that
36:46
accounts will transition
36:47
at the later point in time from one CSM to another. And by that time, you don't
36:52
know what was going
36:53
on. And especially the person that gets the account doesn't either. So really
36:58
documented
36:58
and do the right expectations management. That's something I believe everybody
37:02
can does.
37:02
Okay, one last question. In terms of balancing human and automation effectively
37:13
was there a lot of trial and error to get it right?
37:16
I can say one or two sentences from the very early stages. We learned it the
37:24
hard way.
37:27
Our customers helped us to iterate, readjust, and find something that actually
37:32
helps. And I think
37:33
they are too hard onboarding. This is just not something that the customer
37:37
really enjoys.
37:38
They are therefore the outcomes. So onboarding is just the mean that ideally
37:42
takes you there
37:43
the fastest and automations are sometimes perceived by customers as nicey, less
37:49
faces,
37:49
etc. Right? And we need to break that stereotype. And it heavily depends on the
37:53
customize that
37:54
you have, how you manage the expectations naturally. So in the end, our
38:00
customers
38:00
deter us a lot to find the way in the middle. And as you said at the beginning,
38:05
it's a segmentation. So there's a layer of digital and then you scale it up
38:09
based on the rest.
38:11
I just want, it's not a question, but thanks from the audience for this
38:16
presentation,
38:17
it's great to have a little laugh at the end of the day. So very well done. And
38:22
I couldn't
38:22
agree more and echo that. So you have funky designs and creative boarding.
38:28
Please, you know,
38:29
who to look up for. But thank you so much for your presentation, guys. So...
38:33
Good. It's end of day one, everybody. So there's going to be slightly different
38:44
events,
38:44
but I hope to see you all at the party. There will be, I believe, some drinks
38:49
around here. So
38:49
stick around for a second. Otherwise, we'll see everybody at the party. Thank
38:56
you.
38:59
quick win, We took one and