Amazon Connect agent workspace consolidates all your agent features, such as customer information, cases, tasks, knowledge articles, and workforce schedules, into a single easy-to-use user interface. Agent workspace includes Amazon Connect Flows so that contact center supervisors can configure and provide step-by-step guidance to agents. This helps agents resolve issues faster and improves customer satisfaction. Join this session to learn how to create flows that display information an agent needs to take action and resolve an issue quickly.
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Content
0 -> - All right well, good morning everyone.
5.01 -> It's good to see some
familiar faces in the audience
7.74 -> and lots of new faces as well.
10.86 -> Welcome to our session today,
13.02 -> resolving customer issues faster
15.78 -> with the Amazon Connect agent workspace.
19.8 -> If you are in this room right now,
21.57 -> you probably operate a contact center.
25.8 -> Maybe you're already using Amazon Connect
29.04 -> or you're considering Amazon Connect
31.56 -> for your contact center.
35.49 -> You are also likely
facing some challenges.
39.48 -> Perhaps you maintain
software infrastructure
42.69 -> that your agents currently
rely on to help customers,
47.58 -> and you're looking for alternatives
50.46 -> to drive agent efficiency.
55.14 -> Well, we're excited to be up here today
57.24 -> and tell you about a new launch
59.19 -> that was announced yesterday
60.81 -> in Adam Selipsky's keynote address
63.39 -> that we think will help solve
some of these challenges
67.23 -> with cloud-based technology
and intuitive agent interfaces.
81 -> I'm Sandeep Rao, go-to market specialist
84.72 -> with AWS productivity applications.
88.74 -> And this is Jack Hutton,
90.48 -> senior product manager for Amazon Connect.
94.17 -> Let's get started.
96.84 -> All right, so many of you
99.12 -> already know what Amazon Connect is.
101.55 -> For those of you who do not,
103.65 -> Amazon Connect is a true
cloud-based contact center
108.09 -> that allows you to scale
up to any size workload
111.99 -> and you only pay for what you use.
115.17 -> It's very simple to get started.
117.51 -> Anyone from a non-technical
business leader
122.28 -> to experienced contact center veterans
125.01 -> can begin innovating on
behalf of their customers
128.79 -> with our self-service
graphical user interface.
134.55 -> You can design conversational interactions
137.61 -> that are natural and personal
using our speech recognition
142.59 -> and natural language
understanding technology,
145.47 -> the same technology that powers Alexa.
149.4 -> And the combination of these benefits
151.83 -> allows organizations to
design customer experiences
155.7 -> that meet expectations,
drive business goals,
159.3 -> and reduce costs.
163.62 -> - Connect is one of the
fastest growing services
166.14 -> in AWS history.
167.76 -> Tens of thousands of customers use Connect
170.28 -> creating over 10 million
contacts in total per day.
174.15 -> Large customers such as
National Australian Bank,
177.06 -> Adidas and Delta love
that they can experiment
180.72 -> and move at a rapid pace like a startup.
183.39 -> Meanwhile, smaller customers
such as Answerconnect,
186.6 -> Slice Pizza and Chartspan
love that they can get
189.39 -> an enterprise grade
solution at startup prices.
193.11 -> Overall, we value our customer's input,
195.36 -> and it's very important that
we listen to customer feedback
198.3 -> in order for us to innovate and allow you
200.31 -> to rapidly expand your
customer service operations.
203.37 -> And so I just wanna give a
quick thank you to all of you
205.53 -> and all our customers for trusting us
207.51 -> as you overall transform
your customer experience.
212.73 -> - All right, so you've
seen some organizations
214.62 -> who use Amazon Connect today,
216.6 -> but how do agents use Amazon Connect?
220.35 -> Well today agents can use
our free out of the box
225.09 -> agent workspace to get
work done more efficiently.
229.71 -> This agent workspace is
available virtually anywhere
233.85 -> via web and single sign-on.
237.33 -> All of our agent empowerment capabilities
239.34 -> are unified in a single pane of glass,
242.19 -> but again, you only pay for what you use.
245.64 -> The interface is intuitive,
247.35 -> so agents can quickly and
easily find the information
250.47 -> they need to resolve issues.
252.93 -> If we dive deep into the agent workspace,
256.14 -> we can look at a few
of these capabilities.
259.02 -> On the left hand side of this screen,
261.72 -> you'll see the contact
control panel where agents
264.57 -> can receive voice contacts,
chat contacts and tasks.
270.51 -> An agent can also see if a user has been,
273.24 -> or customer has been, authenticated
275.07 -> using our voice biometric solution.
278.43 -> In the center of the workspace
is our customer profile.
282.63 -> Here, customer information is aggregated
285.6 -> from disparate sources and
displayed to the agent.
289.26 -> Information like prior contact history,
292.38 -> basic customer information,
like name and phone number,
296.16 -> as well as other additional
and custom information
299.07 -> the agent or the organization enters.
301.59 -> We also have another tab called Cases.
304.41 -> With Cases, organizations
and customers can track,
308.22 -> collaborate on and resolve issues
310.71 -> that span multiple contacts.
313.47 -> In the Cases tab all the cases associated
316.11 -> with the customer profile are listed
318.24 -> and an agent can click into the case
320.76 -> or create a new case based on the issue.
324.45 -> In the top right of this workspace,
326.46 -> we have automatic recommendation service.
330.45 -> Amazon Connect can listen
to the conversation
333.24 -> and automatically suggest
knowledge articles
336.03 -> to help the agent
resolve the issue faster,
338.97 -> or the agent can type a
keyword into the manual search
343.29 -> to pull up a relevant knowledge article.
346.8 -> I just want to emphasize again
that this agent workspace
349.53 -> is free out of the box and
it organizes and unifies
354.21 -> all of our agent empowerment capabilities,
356.85 -> which you can use on
a pay as you go basis.
361.2 -> - So now that we have an agent workspace,
363.36 -> we did ask ourselves what
can we do more to help
365.97 -> and to identify three key areas
367.74 -> we wanted to help customers
make improvements.
370.44 -> The first has to do with onboarding
372.3 -> and ramping up new agents and
making them proficient faster.
376.23 -> The next has to do with making sure
377.88 -> that all agents, experienced or novice,
380.52 -> are adhering to best practices
382.71 -> and following updated
standard operating procedures.
385.86 -> And lastly, we wanna help
business operations teams
389.04 -> figure out new ways to
improve efficiencies
392.04 -> and make sure their overall
agents are operating well
394.367 -> and adjusting to new use cases.
396.87 -> And so with that, as of yesterday,
398.55 -> we've launched step by step
guides as a preview feature
401.73 -> in our Amazon Connect workspace.
404.01 -> And so with this feature you're now able
406.41 -> to configure the primary
tab of the agent workspace,
410.22 -> so at the start of the call,
411.39 -> you can surface relevant info and actions
413.82 -> to your agents to resolve issues faster.
416.91 -> At the highest of levels
what we have done is
419.76 -> we've given you the ability
420.75 -> to surface contextually
relevant data and actions,
424.14 -> making sure the agent has
all the information they need
426.21 -> to get going quickly and
the tools to dive in fast.
431.58 -> In particular when it comes
432.63 -> a little bit down deeper
to a step-by-step guide,
435.42 -> here is where you're able
to really structure your SOP
438.27 -> and codify into the system so an agent
440.28 -> is given clear instructions
of what they should be doing
442.8 -> at any point in time when trying to handle
444.9 -> a particular use case.
447.21 -> So in terms of use cases,
449.19 -> it's gonna vary greatly by
customer and line of business,
452.85 -> but at the highest level,
453.78 -> we do see four common steps
that all contacts have,
457.41 -> and we really try to optimize the system
459.18 -> to make these steps work well.
461.49 -> The first has to do with
identifying the customer
463.74 -> and making sure they are who they are.
465.39 -> And so with that, we
have customer profiles
467.4 -> and voice ID plugins that
make it a little easier
469.92 -> to get this step done quickly
so the agent can dive fast
473.58 -> into the actual issue.
475.62 -> But first they gotta actually
determine what that issue is.
478.29 -> And so with that in our
landing page experience
480.27 -> we give you the tools you
need to help guide the agent
482.85 -> to figure out what's
going on in this contact
485.37 -> so that they can find the right action
487.14 -> to carry forth and solve it.
489.18 -> Now when it comes to resolving the issues,
491.34 -> which is probably the heart
492.27 -> of our step by step guides feature,
494.19 -> there will be various different
approaches you can take.
496.71 -> And later on in the deck we'll dive deeper
498.78 -> into how this could work.
500.67 -> And lastly, most contacts require
502.77 -> some type of after contact work,
504.87 -> whether it's call notes
or distribution codes.
507.27 -> And so with the guided
experience we provided,
509.4 -> you'll be able to configure
this in our agent workspace.
515.047 -> - All right, so let's see,
step by step guides in action.
519.81 -> The video I'm about to show you,
522.09 -> there will be an agent
working at an airline
525 -> who uses guides to help a customer
528.87 -> with a lost baggage reimbursement claim.
539.04 -> - [Voiceover] In this video, we will show
540.57 -> how the agent will submit
a claim for lost luggage
543.06 -> on behalf of a customer.
545.16 -> When a contact comes in, we
will display the match cards,
548.4 -> which is a quick snapshot
of the step-by-step guides
551.1 -> that were configured by managers.
553.41 -> When agents click on a match card,
555.3 -> we will display the solve cards
556.92 -> with actions that will
initiate a workflow.
559.68 -> The customer information
is already pre-populated
562.11 -> from the Amazon Connect customer profile.
564.66 -> The most recent flights are
available, and once selected,
567.63 -> the rest of the information is populated.
570.78 -> The agent asks the customer
what items were lost
573.42 -> and the amounts that the customer
wishes to get reimbursed.
576.66 -> The receipts can then be
sent via email if needed.
580.68 -> In this step, the customer agrees
582.66 -> with the reimbursement amount.
585.34 -> Finally, the agent can review
all steps with customers
589.08 -> to make sure all of the
information is accurate.
592.17 -> And the form is successfully submitted.
600.418 -> - [Sandeep] All right, well
let's call out a few things.
602.73 -> The screenshot you see here
is step one of the guide
605.97 -> from the video we just watched.
608.61 -> Now, guides open up in the
same tab as the landing page,
613.11 -> so an agent doesn't
have to leave a contact.
617.01 -> Further, there is a progress bar
619.05 -> on the left hand side of the guide
621.068 -> and basic contact details
on the top of the guide,
624.54 -> so the agent never loses
context on the contact.
628.8 -> Information from first party sources,
630.84 -> like customer profiles, can
be used to pre-populate forms.
636.18 -> Information from third party sources,
638.1 -> in this case, flight management systems,
640.74 -> can also be brought into the guide.
644.7 -> There are also navigation
buttons at the bottom,
647.58 -> so the agent can progress
through the guide
650.34 -> or cancel the guide altogether.
654.3 -> Now you've seen an example
of how guides work,
659.82 -> and you're probably asking,
662.31 -> why have we designed guides
in this specific way?
666.668 -> - And so we wanna take a small segue
668.49 -> to explain how we've used guides
670.23 -> in our own Amazon customer
service departments
673.38 -> in order to improve agent
efficiency and training.
677.856 -> And so our old custom
CCP looked like this,
681.69 -> and as you can maybe tell,
682.92 -> there's a lot of features for agents,
684.78 -> which is great because we gave them
686.04 -> all the power they needed to
resolve any type of contact.
689.31 -> But as time went on and
we added more features,
691.74 -> and use cases got more complex,
693.57 -> this started to become a burden on agents
695.28 -> because it became a very
unwieldy system to use.
698.25 -> So for example, just to look up
700.14 -> the status of a Prime
subscription membership,
703.11 -> agents would have to
go through three menus
705.54 -> and four UI pages just to
get the status details.
708.45 -> And then to actually
modify the subscription,
710.61 -> they'd have to do that three more times
712.59 -> going through 15 different
UI pages and many menu tabs.
716.16 -> And overall this is becoming
too burdensome of an experience
719.49 -> that is placing high
cognitive load on our agents
722.73 -> that we've noticed was reducing
their ability to learn.
725.73 -> And this is true for
new agents just trying
727.56 -> to learn the system and get
acquainted with their job.
730.41 -> But even experienced agents we realized
732.33 -> were diverging in how they handled
734.49 -> the same type of customer requests
736.2 -> because the system was so fluid and open,
738.6 -> and that was leading to
inconsistent customer experiences.
742.26 -> So we dug deep and we tried to evaluate
744.384 -> what is really going on with our UX.
747.09 -> And when we evaluated it,
we realized our UX process
750.27 -> was asking the agent to
listen to the customer,
753.33 -> simultaneously locating
and researching data
757.14 -> and buttons and menus,
758.88 -> and then on the fly assembling
a solution to that problem.
763.53 -> And this was wasting a lot of time
765.24 -> and a lot of energy for our agents.
767.55 -> So after extensive UX research
and many, many prototypes,
771.87 -> we've landed on a new UX process
774.666 -> and we call it listen match solve.
778.14 -> The idea is that the
agent will primarily focus
780.48 -> on just listening in the customer,
782.43 -> and we're gonna surface on the UI screen
784.359 -> the most likely topics for that call
786.66 -> so that the agent can just hear
what the customer is saying,
789.78 -> click on what they see on the
screen that matches the topic,
792.39 -> and then proceed to dive
right into a solution.
795.15 -> So we're gonna illustrate
this by walking through our UX
797.46 -> with a little bit more detail.
799.8 -> So in this UX, we surface the
most likely topics for a call.
803.7 -> And a topic could be a product order,
806.82 -> it could be even a financial product,
808.56 -> it could even be a workflow.
810.66 -> Either way, we give many
options to the agent
813.36 -> so that one of them is likely the issue.
815.61 -> And once they click on the topic,
817.17 -> they can see a summary of
pertinent details about that topic
821.28 -> as well as actions that
let them update this topic.
825.18 -> And what we found is
it's only so many actions
827.969 -> you can do for a particular topic,
830.97 -> only so many things you
could do for a retail order.
833.52 -> And so by narrowing down
the agent position tree
835.56 -> to first just find that right topic,
837.81 -> it really funnels down the
options they have to choose
840.42 -> between really strictly
limiting their cognitive load.
844.38 -> But now they found the right
topic, the right issue,
846.99 -> how do they solve it?
848.34 -> And that's where the step by
step guidance really kicks in,
850.86 -> where we give these
sequences of simple UI pages
854.13 -> to the agent to really let them focus
855.96 -> on one thing at a time, whether
there's one input field,
859.62 -> one question to ask the customer,
861.36 -> they can slowly go step by step,
862.92 -> getting the right information they need
864.78 -> to help the customers matter.
867.24 -> Additionally, along the way,
869.1 -> we will feed a bit of agent
scripting to the agent
872.07 -> so that, let's say they
submit a transaction
874.32 -> and they get a confirmation message,
876.03 -> it won't just say that
it's been successful.
878.04 -> The success message will read as a script
880.23 -> they can read out loud
telling the end customer
882.63 -> what's just happened and what to expect,
884.64 -> like an email notification.
886.5 -> Additionally, even when
doing different questions
889.47 -> and inputting fields,
890.73 -> with inline standard operating
procedures and policies
894.21 -> right into the question,
so in case a a customer
897.3 -> has a question on the spot
about different options,
900.15 -> the agent can read them right out loud,
902.31 -> rather having to go
find a knowledge article
904.77 -> in some buried data.
906.96 -> Now let's say our topics were wrong.
909.18 -> Well, in that case,
910.013 -> we always give an escape
hatch to the agent
912.72 -> to find the right workflow for them.
914.43 -> So for example,
915.263 -> if the agent clicks on
the find more button here,
917.46 -> they'll see a whole list of workflows
919.65 -> that they have access to.
921.06 -> And then now they can figure out,
922.087 -> "Okay, which one do I need?"
923.58 -> This way we give them the
freedom to always self-serve
926.19 -> and find the right solution
in case our prediction
928.23 -> is a little bit off.
930.24 -> So now I wanna talk about the outcomes
932.16 -> of this new UX we've rolled out.
934.35 -> First, we've been able
to reduce onboarding time
937.71 -> by down to 50%.
939.99 -> And the main reason for this
is the app is so intuitive
942.72 -> we don't have to spend
that much extra time
944.49 -> teaching all the different menu layers.
946.62 -> It's pretty much a two different
panel screen to go through.
950.46 -> But more important,
we've actually been able
952.77 -> to reduce our time to proficiency by 40%.
956.67 -> Agents are using the same UX
958.29 -> regardless of the use case they follow,
960.36 -> so it really creates a
simple streamlined experience
963.21 -> so they can learn as they go.
965.13 -> It's the same methodology
of listen, match, solve
968.13 -> regardless of the new line of business
969.81 -> they might be assigned
to, or any use case.
972.27 -> So they can basically learn as they go
974.4 -> and not have to worry about
doing retraining over and over.
978.42 -> Additionally, we've been able to reduce
980.13 -> our average contact
handle time by up to 35%
983.58 -> for some departments.
984.75 -> And right now we're at a global
average of 20% reduction.