Data Alchemy: How Gainsight's Survey Tools + AI Turned User Feedback into Pure Gold!
Many companies aim to make data-driven decisions, but it’s challenging when insights are buried across multiple feedback channels and data sources. This session will explore how Learnship solved this by leveraging Gainsight CS, its survey tools, and AI to connect user feedback with behavioral data and uncover insights that drive key decisions and boost customer satisfaction.
Welcome at the second day of the post. Thank you very much.
First of all for coming here today at the second day of post and also to this
closing session of the day. I know it's been a rough maybe two last days and I
'm
super, super happy that you're fine at the moment also to come here and be here
and relax it's gonna be a really really nice session. Before I'm gonna
introduce
our wonderful speakers I want to call out that there's gonna be a Q&A session
towards the end of this presentation so make sure if you have any questions to
go to the pills app and go to the poll or end the Q&A section and put them
there and there and you can also vote there for questions that you think
that should really address to the speakers. So without further ado I want
to introduce you to Angela and Amy. Welcome to the stage.
Angela is a global customer success from Leanship and Amy is a product owner of
Gaze. I've got some success team. Hi everyone. How many of you were at the
party last night?
So how many of you remember the band saying come closer? Because you'll miss it
So come closer. We've got something to share and back there you're not gonna
see it.
So let's get started. Welcome to the last call bar. That's where we are. So the
final
call, the last call. I'm Angela Felicis Simo and the Vice President of Global
Customer Success at Learn Ships. Some of you might have heard me this morning
and
this is my colleague Amy Lane who's our product owner for Gaze site but she's
also a CSM team lead for the Americas as well. And we're here to talk about
data
alchemy. Basically how have we been able to take data and turn it into
something valuable? And I have to say I'm not sure what's worse to have the
after lunch slot or the slot that keeps you from heading home at the end of the
day. But let's continue. So Amy maybe you want to go first. Sure. So I'm Amy
Lane
and I've been in the tech industry for EdTech industry for 25 years. I joined
when I was four. So if you're doing the age math, use four. I as Angela
explained
currently I own the product for Gaze site within our company. I get to decide
which projects get worked on which is the highest value for our you know for
different teams to be working on. I also get to lead a CSM team which gives me
access to be able to see both sides of the implementation world and then the
application world which is fantastic. I also have an additional job on the CEO
of three teenage girls and two spicy cats. So when they say travel I say yes
please. I also really love finding anything creative but creative solutions
are you know my favorite thing to find and then be able to turn that into a
great story. Hopefully at the end I'll tell you my very favorite story if we
get
our timing and our pacing right. Back to you Angela. Yeah so as I said as I
said before I had a customer success and I've been in the EdTech industry for longer
than I care to remember and longer than I care to admit. So don't try doing any
maths there. I'm passionate about customer success and I've been in customer
success for around 20 years before it was even cold customer success and I got
into customer success because I was a customer before I joined. So that gave
me some unique insights as well and what I'm passionate about is showing how
our
solutions deliver business value and have real business impact on our customers
and to give you a little bit of background about learn ship. So we provide
language, business skills and intercultural training for over 2,000
corporate clients. We have around 250,000 learners around the globe so it gives
us two levels of working in our company. We have customer success that own the
customers and we have learning specialists that own the learners so
that's given us some unique challenges and we'll come on to some of those but
first of all let's talk to you about alchemy. So the dictionary definition of
alchemy is a seemingly magical process of transformation, creation or
combination in particular with attempts to convert base metals into gold or to
find a universal elixir. Now I'm not going to be able to convert base metals
into gold but I am going to be able to show a little bit of magic so it's not
engine oil it's gin, just a little tipple here and there and apologies if
you're at the back I did warn you that you might not be able to see but just
with a little bit of magic I can turn this from blue to pink which kind of
demonstrates what alchemy is. Just a little bit of magic you know we said it
was going to be a fun shot and we'll come back to those later. So you know
who we are you know what we're here to talk about right alchemy and as I said
I'm not going to make gold out of lead I'm not going to make water wine from
water but what we are going to talk about is how have we made vast quantities
of
data as you can see meaningful and useful. So let me start with a little bit
of a background about who learnship is and the challenges that we've faced so
it started with two companies. Global English came from a SaaS model digital
self-paced learning very much a licensed space model easy to know the start and
end of things and then we were acquired by learnship we were found which was in
2019. They were much more in the traditional way of delivering learning
it was virtual but it was train a lead face-to-face but online. More
important to what we're talking about today we had very different data profiles
two very different databases two very different ways of how we gather data and
and this has been a big challenge for us that we've been able to solve and Amy
will tell you a little bit about that later with with gamesite. So we couldn't
marry this data together and data is key we need it to inform our customers we
need it to be able to demonstrate value but we also need it for our company as
well to be able to make decisions. So just a little bit of a story and it was
you know something that stayed with me for a long time so before I joined the
edtech industry I worked for a logistics company and I was responsible for
training and documentation of our systems and I used to every month gather
all the data of how many courses we'd run how many people attended how many
hours we ran and I would proudly go to my boss and say look at these numbers
they're magnificent and they would say oh yeah that's great then I got a new
boss
and that's where my light bulb moment came on because the new boss said to me
those numbers are great but what impact are they having on our business is it
making our business any better than it was before otherwise we're just wasting
time. So let's look at some of the challenges that we face in a bit more
detail and some of that's how we gathered data from learners and feedback on
our
solutions so we were running before game site around 750 surveys a year
these were all set up manually they would take around one to one and a half
hours being generous to set them up to evaluate them but we couldn't
calculate data across all the surveys we could only run them at a fixed point
in
time and that was not necessarily the best time in a learner journey to be
able to gather that data it could be that someone had just completed a course
or someone had just started but we had a fixed point in time we ran them in 10
languages brought its own challenges because we had a high cost of translation
translating all the responses we had multiple tools somewhere proprietary
embedded within our platform we use survey monkey we used email we have
things coming in one-to-one it was a challenge and we couldn't measure MPS we
just were not able to do that MPS on a customer by customer base doesn't
necessarily mean a lot unless you're getting a lot of responses we had
custom information at customer level but we couldn't aggregate that across our
customer base it was very useful for demonstrating outcomes to customers but
not useful for demonstrating outcomes across our business and being able to
use that data so we started implementing gain site in at the end of 2021 and we
actually started using gain site in anger in 2022 around halfway through the
year and we started with a slow pace just getting people used to using it and
then we thought well what can we do differently so we had a challenge everyone
recognized where this comes from yeah mission impossible and so our mission
should we choose to accept that was to find a way to measure NPS and business
impact across our customer base at all levels that would be meaningful not just
to our customers but to every part of our business and that's kind of one of
the key points there and that's something that I'm gonna hand over to Amy to
tell
you more about right thank you Angela and I can say mission accepted now but
that mission when I first got it was quite daunting and so we're gonna talk
to you a little bit about how we kind of overcame the hurdles what was the
plan and then really kind of deliver on our on our title of delivering some
nuggets of gold to you so first order of business when you've been tasked with
mission impossible is to build your dream team and the most important
questions when building our dream team you can see here we needed to know who
was already using our feedback options then we asked who could use those
feedback
options if we looked at it differently gathered it differently was able to
present it differently and then third who would we need technically to make
this dream happen when we looked at the answers to those questions we actually
build quite a big team 11 experts from different departments came together from
nine different I'm sorry 11 experts from nine different departments across six
countries and four time zones so having a team of experts come together was was
what was required but it made it first of all pretty challenging because we had
the one find a time slot where everybody could get together where nobody was
getting up in the middle of the night or the very early morning so challenging
exciting everything you know started to move in the right direction when we
built our team now I know after two days of seeing this slide you're probably
really overseeing the bouncing ball but just give me one more one more time to
use it and we'll all be done with it right so once you've got your perfect
team right and then you have to architect the perfect plan nobody goes
into any kind of high situation without their team in a plan and so this was
our
plan we use these these bots right who who who who who do we want to ask now
that we have additional capabilities using Kain site CS we decided we wanted
to go big or go home we wanted to be all learners across all of our 16
different products and hey why not challenge yourself even more and go
ahead and let's add 800 trainers and a thousand program owners and a few line
managers and a food line yep few of them too next was timing right what was
that
optimal timing that we could get to in order to increase our responses and
having gain site CS automation was key to making that part happen for us now
understand we have learners who are on different journeys who've started at
different times all within one account so the ability to not have to have that
static time set that was key to our success standardization right we knew we
had to go from customized questions customized timing down to something that
was standardized so that we could realize our big data dreams so we had to
look at you know we wanted to get an NPS question in there but did we want to
add it to our addition did we want it to add it to our already existing
business
impact survey questions that really delivered that high value for our CSM's
and to their customers and we also knew that translations was going to be key
invites questions had to be dealt with finally we all know changes really hard
really hard so how are we going to win the hearts of minds of our customer
success team so they were going to be wanting to go change the minds of
our product owners program owners sorry so you can see by our little gift here
that having access to on them having on dent on demand access to feedback was
really the win so what does that allow us to do now from a CSM perspective if
someone comes to our CSM's now and they say we have a really good opportunity
to
market to our learners who are in Japan the CSM can say great let me go get you
some quotes from learners who are from Japan in the Japanese market we have
someone who says a program owner comes in and they say we have an upset learner
then you can say well let's go see what that learner's feedback was and finally
we have a huge upsell opportunity but we have to have ROI data for it tomorrow
no problem I have a chart for that so I'm happy to report that in May of this
year we change from mission impossible to mission possible we now run three
different surveys that you can see there and we have over 21,000 response rates
and actually when I look today because that was you know last week when I was
preparing these slides we've added 9,000 more to it so every day we're being
able to capture what's where you're able to capture the feedback at the exact
right time in that learner's life cycle what is that actually equate to when it
comes to mission status in our opinion it's winning right we're winning by
removing costs associated to our surveys and all of the man hours that
Angela discussed and you know the additional payoff of growing data every
single day so our savings continues to grow on top of that automation and that
feedback being a huge win for us now we have that big that big picture data so
overall NPS scores we have results in a graph format that's easy to share we
can drill down to scores and feedback based on many many different factors we
have not had this at any point in time until we implemented CS and and we're
able to move forward with marrying our databases I think just on that one as
well I mean that has been hugely well received by by the CSMs and and the other
teams and as soon as they got that it's like yep I'm sold on this it's true I
think that that actually opened the door to other departments taking notice
of what Gainsite could do for them and and really now we almost have to fight
them off like yeah great idea next quarter we've got a whole year's
priorities planned yeah yeah for sure so what does this mean right from a CSM
perspective CSMs get to give a bigger fuller picture now so they can take that
NPS score they can take the information from our business impact survey and
they
can marry it together and tell a better story they can also come to a program
manager or program owner who is you know maybe unhappy or heard of an unhappy
learner and they can have a more rounded response to that by basing it on the
whole of the NPS for their learners so it just expands the insights we can
bring to our customers and it helps us manage those tricky spots we're also
using Gainsites text analytics which allows us to bring something to every
department because there's something in there for everyone in fact our training
department is using this these keywords to measure whether their initiatives to
keep our trainers happy in the last two quarters are actually working so we're
really looking at text analytics to be a real real driver for change not only
that our learner level but on our product level even at our trainer level
and lastly we have attempted to do this before take all of that silo data pull
it together find some type of insight and quite honestly it took forever it
was expensive when it came to man hours and the insight it was able to deliver
was just a sliver and so to say the least we've never done it again right so we
're
pretty happy to be able to do it at our fingertips but I know I promised you a
little bit of magic some alchemy in the in terms of a turning data into gold
and
so the next level we took our took our insights to nugget the gold is really
adding that catalyst to chat GPT a survey analyzer kind of pouring in our
learner behavior data and our survey feedback data into chat GPT survey
analyzer and being able to see insights that we hadn't seen before those n
uggets
of gold now we're able to see whether our engagements are actually working we
're
able to bring bigger and better insights into our conversations at the EBR QBR
level so there are a lot of different ways to turn data into gold if you know
the right formula now be honest did anybody panic when I said learner
behavior learner data it's all right you don't have to raise your hand
Angela panicked when I said we're gonna put this slide up there no you said no
right I mean a is a little tricky when it comes to to customer data and I just
want you to know we're careful about it so what what have we learned so far and
honestly we're just scratching the surface of what we're learning with this
experiment so I love that we can we can actually explore assumptions right what
were the assumptions that we came into this experiment with we actually had an
assumption that maybe NPS tracked up and down along a learner's path the
further
that they got in the path that their NPS go up or down and what we've learned
is
that there's actually a pretty low a relative relativity to that or
correlation so we're exploring in an and an assumption just right at our
fingertips we didn't have to do you know a big data gathering using man hours
to find that out I also love that we can actually ask clarifying questions so
in
this question I asked wait are you telling me that trainers are less
important than course content and organization and it comes back and it
says yes learners are happy because of the course content be more over a hat
being happy with their trainer and to be honest with you I love that I can ask
clarification questions without being worried about being judged or being too
bossy you know AI is now my my best way to go out and get the answers to the
questions that I have for some assumptions and not have to worry about
any other thing around asking it to a co-worker or anything like that so just
a couple of examples the next layer right priceless when it comes to comment
analysis I know we Angela touched on it but being able to have comment analysis
without translation in the middle is gigantic for us because of the
globalness of our audience second we see it as just a jumping off point analyze
it give us some insights and then tell us ways that we can use it what
marketing
strategies could we use now we understand these insights and then
understanding them give us an example right here you see an example that a CSM
a marketing leader even a product owner could take and use right there from
from that data from asking AI without a lot of man hours thinking that type of
thing going into it and finally when we run out of questions which is hard to
believe that you would ever run out of questions but when you do and if you do
I love being able to say as a CSM what questions should I be asking what did I
not think of because we all know the AI is you know the new rabbit hole of
information so I promised you a story about a rabbit if you'll indulge me we're
gonna switch gears for half a minute here I'm gonna tell you my very favorite
story and it's actually a true story so in the 80s when I was a kid I would go
to my aunt's beauty salon because we all know the best place to hear good
stories
is at the beauty salon so I would go and just sit and listen and a lady came in
and I came from a small town and she said to the to my aunt she said you know
how much I love my dog right and she said yes I know how much you love him
and she says you know how he's kind of a handful and we've had some issues with
the neighbor and the way that the dog tries to get over the fence and get to
the neighbor's pet rabbit and my aunt says yeah what have you done about that
and she said well actually a couple of days ago after the neighbor had
threatened
us that if something were to happen to their rabbit that he would call the
authorities and have our dog removed something happened and my aunt said oh
no what was it and she said well was late at night you were watching watching
a movie and the dog door opens and the dog comes through it and I looked out of
the corner my eye and saw that he had something in his mouth and it was pretty
dirty and pretty floppy and the size of a rabbit and so upon investigation I
hate to tell you this but the the rabbit was dead and my aunt says oh no what
did
you do she said well we hatched a plan because we really love our dog and we
did not want to lose our dog so I convinced my husband that this would be
the best case scenario they took the rabbit they washed off the dirt they
calmed it even they even fluffed it up using their blow dryer with the plan to
sneak the rabbit out to its cage in the middle of the night so it looked like
it
died of natural causes right really it planned so they follow through on it
they
get up the next morning and they hear their neighbor screaming and they have
to go out there to see what's wrong and they say what's what's wrong and the
neighbor says my rabbit it's dead and my the lady said then I had to go oh I'm
so sorry to hear that that and she says no you don't understand it died two
days
ago and we buried it in the yard and now it's back looking like it just died in
its cage and the lady had just said and my aunt said what did you say and she
said I just said oh it's that's so strange I walked back in my house to tell
my husband that our dog was not a rabbit killer just a grave robber right so
thank you for indulging me on that story and I think it's always a good
reminder to make sure you have all of the information before you hatch your
plan you go out there and you actually execute it and that's what big data
gives you right is all of the information before you move forward with the plan
the moral of the story is yes absolutely and in our chief technology officer
actually agrees just in more tech terms without the dog and the and the the
rabbits involved but we all know real-time access to big data right big picture
data is enabling teams to make better and faster decisions so in conclusion
thank you to gain site CS and to AI because we can say mission accomplished
and with that we'll say cheers yes in case you thought it wasn't real I think
I'll hold on to mine for questions just in case you guys decide to be tough on
us it's real it really is real so you can kind of imagine that it was so
excited to be here a track leader for this so thanks Angela Naby we'll go now
to the Q&A's of you there's 15 questions oh 16 questions in it so if you take
moment also to to read them and maybe also up for them so it makes it a little
bit easier also for us to check and see which one you really like to address
here so let's start with the first one and what measures are you taking to
increase survey responses and what's the motive what if a for you customer to
answer them other than goodwill it's it's it's a good question NPS surveys were
not really encouraging people if they respond they respond they will receive
the NPS survey every 90 days or so depending on what's what's happening
with the business impact survey though on the other hand that's something that
's
critical to us for our EBRs so when the CSM is doing the end of year review we
want to be able to demonstrate that what their employees have learned is having
an impact on their business so our business impact survey is not a happy
sheet we're asking for examples of how have you been able to put into practice
what you've learned how many hours are you saving per week because your
language
skills have improved and that you're better able to do that give us examples
of that and that's where the analysis of the data comes in and the text
analytics
featuring games site the AI analyzer has been hugely powerful for us to get
those messages for either a customer or for our business but on how do we get
people to answer the business impact survey well there we work with our
customer and we ask them also because we're doing this to enable them to show
their business that they've been beneficial so we're often working with
HR teams or L&D teams and we try to move them instead of being reactive but
being proactive in adding business benefit and they will also send reminders
and encourage their their learners their employees to respond to the
survey and we also asked their line managers as well on for objective
sides of things and that works really well and you know we're getting with the
NPS survey the the response rate is lower but we're still you know across
200,000 learners we're getting good responses but the business impact survey
we're typically getting 30 40% response rates on that
Wow that's awesome that really isn't really high rate and yeah to your
customers to help me to help you right this inside you need your customers for
that let's go to the next one what is the most impactful question you have in
your NPS survey well we only have in our so I said we've got two surveys in the
NPS survey I think we've got two questions three into so so we asked them the
standard NPS question translated into the various languages and then we're
asking them what is more of a customer satisfaction question is the next level
down we asked them you know how you found your learning content the learning
platform your trainer the digital part of your learning and then to give any
other
feedback more an open question which which has been really useful just so you
know our NPS is currently around 50 which is pretty good our trainer led I
think is around 62 or something so we're quite happy with the feedback we're
getting with NPS but for the business impact survey from both learners and
line managers from learners it's how have you put into practice what you have
learned so how are you using our solutions to enable your company and for
line managers we're asking what impact has it had on your business so have
things improved and putting that the two lots of data together really helps us
tell a real story and where we're really able to quantify ROI on that
Awesome thank you for the ozone I don't dare to pronounce your last name sorry
for that what actions do you take for detractors NPS's good questions so we do
a follow-up on NPS and we send them an email to say either we're happy that
you're a promoter you know thank you for your feedback or we're sorry you had a
problem and we ask them if we can follow up with them and if they respond then
we
will follow up but we also have our trainer management team they're
responsible for making sure that we have the best trainers that we can have so
they will read every detractor response and especially if it relates to trainer
quality they will correlate that with who the trainer was and provide feedback
to those trainers to find out how things are going and I think we're
honest with our accounts also right when we go to do our EBR and QBR's we want
to
share with them some of the feedback we've gotten if the if the NPS is low
because a lot of times that may be tied to how the program is being managed or
the expectations that were set so I think it adds to a layer of
transparency when we actually do share that at the client level also and
definitely at the business impact level yeah go ahead oh someone bumped up now
what what other metrics beside the NPS do you measure how many questions are
there in your survey and what are those yeah so I mentioned with the NPS survey
there are around three questions one's a yes or no question so if they have a
trainer then they will get an extra question with the business impact survey
there are around 15 questions in total and we're not really measuring
everything there but we were looking at the percentage of people improving in
in different parts of language acquisition and how they're doing that and we
measure measure CSAT as well we do and I think that we're we're quite clever in
the way that we're building a story around that business impact survey data
we're asking you know how much time do you think that you've saved is language
learning important right so trying to continue to build the story that helps
us then renew and grow that account and quite honestly to tell you the truth
the very favorite questions are those that solicit comments right those that
say tell me how this has been you've been able to use this at work how has it
better your life those are really the nuggets of gold that put it in
perspective for us what we do as a company right is language training but
really what we're doing we're enabling people to be able to communicate with
their coworkers and be able to have you know a vehicle to navigating their
career that they may not have had so just those nuggets of gold really come
I think from those comments or from those questions that's the list of
comments yeah and I think the most magical responses I've seen in my my
time when you see people say I got promoted because of this I was able to
get another job and there was one example from a learner who was based in
Dubai and he said when I started in this company I was a tea boy I was taking a
trolley round everyone in the office serving tea and my boss I was interested
so my boss said oh do you want to take language learning he said yeah yeah yes
please I would like to do that and after a couple of years he ended up as a
project manager so it made a difference to someone's life that they'd gone from
being a tea boy to being able to manage projects that just makes my heart
well yeah these are great great great stories and maybe sometimes you would
wish that you could use them as in the testimonial on your site or something
like that these these are very impactful and meaningful so I was and again this
you're very popular what is your response right you already I think on
that but what do you do to increase it even though it is quite high yeah and I
think you know we work with the customer we work with our program owners to be
able to do that our job at CSM's is to make our program owners stars in their
company so we you know we're not just doing things at them we're sharing best
practices and enabling them to tell the message in their companies as well yeah
agreed so next one why not randomize the time of
surveying it's if it's timed at a targeted period in the customer journey
wouldn't if falsely inflates pasta it depends so this is language learning so
surveying someone if from a business impact perspective if they're only two
months into their language learning journey you're not going to get much
feedback on that you know when we did it as we did it before because it was
kind of randomized you'd say oh I've not had enough time yet I can't say if
there's been any improvement because I've only been learning for two months but
the MPS is kind of randomized because it depends on learn or events as I said
it is every 90 days but there might be something that happened or whatever
that would delay that going out so it is more randomized would you say Amy
yeah I would say that I also think that we're after seeing if there's a trend
right we're after seeing if over a life cycle of a learner do we see those
dips in those falls in those MPS scores specifically and then for business
impact survey we have a different timing for that because that's trying to
gather the kind of the fill of the whole program right but we need it in time
for
renewals you know because we're talking to CSM's right there's a tricky timing
between gathering the information you need to make this story that actually
gets you the renewals so that would be my answer there yeah I'm sorry I get a
little bit distracted by this question earlier I would say who asked that yeah
who asked it's a you Jill it's anonymous for a reason maybe all right let's go
to the next one how often do you circle back to the text analytics to see the
traits do you want me to answer that because I have a pretty good answer good
right yeah Angela and I have known out there for 20 years so I feel okay with
jumping in on this one over her here so text analytics we have a very specific
use case for it right now and as I mentioned slightly in our in my slides
we have trainers and trainers need to be happy in order to deliver a good
service right and so we have a trainer management team who's very focused on
measuring their NPS and so they set a goal to increase their NPS so every
month they're measuring that NPS and they've put into place different
initiatives to try to help move that NPS score and they're looking at text
analytics within like the first seven days of that monthly NPS going out to
see if they're seeing key key words and key phrases that match the initiative
that they launched that that month so there's a direct tie to those I think
that anytime anybody comes to us we've got product coming to us we've got
marketing coming to us we open up that dashboard and we look at it so I hope
that answers the question absolutely do thank you Amy let's go for the last
question for for today and also for the whole post event could you share an
example of a critical decision that was influenced by insights generated from
AI and how did these insights differ from what you may have gleaned through
traditional methods I think it may be for us a little early on kind of big
decisions from AI because we've only really started with that in the last six
months yes and six months or so but I think what it's enabled our product team
to do is to look at where should they spend their time you know we're all
facing economic challenges and we don't have this big pot of money or big pool
of people to be able to work on absolutely everything so being able to
analyze that data and see what the feedback is gives us the opportunity to
decide should we focus on this part of our product or is it more important to
do something else instead so it's really kind of helping guide the way and that
's
where Amy was saying you know it wasn't just nine teams providing input into
what
we do our eleven teams departments they look at that feedback as well so they
all have access into to gain sight and I think that's been really useful in us
being able to grow how we use it and keep the investment going yeah it's an
easy
return on investment story to tell when you have different departments knocking
on your on your door on a weekly basis that says hey I heard that you can see
things that that we haven't seen before and you can turn around and you know
create a dashboard for them and they can they can use that in a way that they
haven't even thought about using it yet right they've got their basic ideas but
it's just like asking chat GPT to give you some additional ideas right we're
just scratching the surface yeah well those were the last question
thanks yeah thanks Amy and I give a big round of applause for the speakers
all right this was the first session from the last day of polls I was a
good it was a big big big big event and it was as you can hear my voice also I
'm
getting a little bit tired right now but it was it was amazing having you here
thank you for that if you could I know not today or right here in this room but
if you could review us and give us some insights from what you have seen
through
these two couple of days that would be amazing we are yeah if you can tell
yeah it's a little bit old so thank you and have a safe travels home
