Natural Language Experience @ VMLY&R

NLX Capabilities

Like any product capability at VMLY&R, our Natural Language practice follows a defined workflow process to ensure each project is built using the latest trends, technologies and proven methodologies.

Insights

Strategy & Insights

By the Numbers

50%

of searches by 2020 will be voice

21.4

Million Smart Speakers in US by 2020

94%

of all smart speakers are Amazon and Google.

Documents

Home Assistants Conversational AI
UNDERSTANDING NEED

VMLY&R's strategic approach to natural language projects is centered around differentiating the output of computer to person communication into a more human experience. In addition, we look for ways to leverage voice and chat experiences in ways not commonly used in today's market.

Discovery

Understanding the needs of the client and the project.


Idea Cultivation

Grow and expand on opportunities in the space.


Conversational Workshops

Small group connections to solve complex dialogue transactions.


Roadmaps and Timelines

Grow and expand on an experience efficiently and concisely.


Deliverables

Plan and scope for the right features to drive usage.

Content

Bit-Sized Content

By the Numbers

200ms

Average Human Response Rate

7s

Avg. length of voice response

3-5

# of features in average voice experience

Documents

Creating for AI Conversations
BEYOND COPYWRITING

When it comes to voice and bot experiences, brevity is essential to ensure the end-user is retaining the correct information. In a lot of cases, existing web content or client-provided content hasn't be optimized for these types of experiences.

Intent

Using AI to account for user interaction and need state.


Tone

The way a voice or chat experience comes across to the user and represents a brand is key.


Content

Ensure the content for the experience is appropriately sized and stored.


Copy and Flow

Create a more human experience through conversation and decision trees.

DESIGN & UX

Dynamic and Useful

By the Numbers

25%

Users 16-25 who use voice on mobile

64%

Consumer who use voice while driving

41%

Voice Assistant owners admit its like talking to a friend

CONVERSATIONAL UX

Presenting a natural language experience requires a myraid of considerations for both the user interaction as well as the automation behind the responses. Using our design practice and focused design systems, we can account for all aspects of a user experience in voice, chat and beyond.

VUI/GUI

Drive towards a more cohesive user interface, both visually and within the context of voice interactions. Both should go hand in hand when needed.


MULTI-MODAL

Design in the context of multiple touch-points requires a consistency that feels familiar, yet adheres to platform guidelines.


BRAND RECOGNITION

Understanding the brand needs and designing with their tone and style in mind enhances the end-user experience.


IDENTITY

Whether you are chatting or speaking with a digital creation, how it presents itself matters. We consider gender, tone, formality, among others.

DEVELOPMENT

Building the experience

By the Numbers

53%

Amazon US Marketshare in 2020

30.9%

Google US Marketshare in 2020

Documents

LaughTracker Experience Tech
BUILD IT BETTER

Choosing the right platform and tools to build the next Natural Language Experience requires key considerstaions towards size, datasources and compatibility.

PLATFORMS

Evaluate and make determinations on which platform is right for the concept agreed upon based on demographics, feature set and longevity.


DATA

Build when it makes sense and integrate often to allow for growth and fresh data.


TOOLS

Leverage the right tools to acheive fast, accurate and consistent products that reach the right userbase.


TESTING

Precision development requires a strong plan that includes tracking and measuring metrics that can be used to test efficiencies and combat errors.

LIFECYCLE

Reporting and Maintanence

By the Numbers

1/2

Of all smart phone users will engage in voice search

USAGE AND LONGEVITY

We constantly measure and reevaluate the user experience, adapting to language constraints and other meaningful ways of engagement. Making adjustments to conversation and feature sets ensure a success and on-going product.

RETENTION

Understanding the userbase and their daily, weekly and monthly activity will help inform methods to retain users beyond the average.


OPTIMIZATION

Looking at usage data, we can discover and enhance the experience to prevent blocks, dead-ends and frustrations.


REPORTING

Leveraging Voice Analytic platforms as well as native reporting tools, we can offer insightful read-outs of usage data.

HOW WE DISCOVER OUR NATURAL LANGUAGE EXPERIENCES

Mul·ti·mod·al - The experience of a more natural interoperability between our virtual and physical environments.

Multimodal goes beyond simply supporting voice-enabled devices. NLX is poised to be the connective tissue between screen and in-device integrations.

HOW WE DEFINE NEED IN NATURAL LANGUAGE EXPERIENCES

Each experience we build has it’s own unique DNA.

This DNA is a series of measurements that blend together to give us an indication of what modes of communication would serve the user best.

Comparing an in-car experience for Ford to the need to support a Google Home action demonstrates a lot of similarities in Output and Input needs but additional support in user conditions.

NLX TRENDS

Personalization

Enterprise Voice

In-Car

Real-Time

Gaming

The prevalence of linguistics creates need to distinguish one voice from another, especially within public spaces. Customizing experiences by tone, persona or language is growing.

More and more natural language experiences are being leveraged in the workspace to create efficiency. Look for natural language to power lobbies and self-service areas of business as well as private workstations.

As more Car Manufacturers implement voice platforms into their dashboards, voice actions from the car becomes second nature. 5G will drive more usage as car become increasingly connected.

Data Access will soon be instantaneous, creating opportunities for NLX to live in more secure areas or those that require multi-lingual support without causing gaps or frustration.

Lowering the learning curve and creating a new and effect element of game play, NL recognition in game is a new and exciting extension to AR, VR and other hands-free platforms.

QUESTIONS TO ASK YOUR CLIENT

Why NLX, why now?

Voice solutions have been around for almost seven years and chat far longer. More and more verticals are finding optimal use cases to leverage these accompanied by strong AI. Does your client fit within an appropriate area of use (mobile, car, home)?


What do you expect to use a NLX for?

Clients need to understand the longevity of a language-centered experience. Campaign level experiences don’t suit most of these experiences unless the barrier to entry is low enough to get in and out quickly.


Does your content live today and is it being used for something else like a website?

Content for voice or chat needs to adhere to standards of brevity to allow users to follow along. This usually requires existing content to be modified specifically for these experiences.


How personalized do you want the experience?

NLX projects allow for a certain level of personalization that may require the use of AI and leverage authentication. Both of which add to time and cost requirements.


HOW WE BUILD

Building for NLX requires input from many different teams.

CONTENT TEAM

Content needs to be formatted into bit-sized elements appropriate for these types of interactions. APIs and Server side data needs to be managed and sent to the experience as well.


DESIGN/COPY TEAM

Most virtual assistants focus on headless-design, making flow and language mapping the foremost need to an experience. However, along with copy, some devices leverage screens and cards that need to be formatted appropriately.


DEVELOPMENT

The decision to develop natively versus on a platform like VoiceFlow depends on the client’s needs and deployment desires. Regardless, we can handle any project in house across multiple platforms (Amazon, Google, Facebook, etc.)


PUBLISHING

With the ability to publish onto multiple platforms at once, we also make sure we can manage changes in one place and track the appropriate data points as well.


MAINTENANCE

Keeping a watchful eye on usage and adjusting pain points as needed. Adding content and new features through the same process as it was initially designed.


PLATFORMS WE SUPPORT

Thought Leadership

Team Contacts

Tarczon
Tarczon

Andy Tarczon

Director Strategy & Insights
Zerbe
Zerbe

Hank Zerbe

Content Manager
Cahill
Cahill

Ian Cahill

Associate Director of Emerging Tech, Voice