EMILY SAPPINGTON

Design & Product Leadership
Portfolio

 

KEY THEMES

I've picked out a few key projects I've completed as I've moved between Design & Product leadership roles.

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PANDEMIC RESPONSE

- Product & Design -

Product, design, and user journey oversight of Babylon Health's Covid-19 Care Assistant, our international response to the pandemic.

CONVERSATIONAL LEADERSHIP

- Design -

Led a design team of UX / UI chatbot designers, conversational designers (writers) and voice designers.

SUBJECT MATTER EXPERTISE

- Multi-Modal Design -

Designed and evangelized NL Tasks for the first multi-modal Assistant to support voice and touch interactions across devices, for first and third party developers.

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ORG DESIGN

- Product -

Creating the chatbot / NLP Tribes at Babylon health to serve the company's various live and automated chat applications.

DESIGN LEADERSHIP

- Design -

On several projects, I led a team of designers, researchers, service designers, and more. Here I've collected a few of those projects, the design challenges and the outcomes.

INDIVIDUAL WORK

- Design -

This is some of the work I've done as the sole designer throughout my career. Some of this work is still in use globally 7 years later.

 

Public Speaking

I am a keynote speaker, workshop leader, moderator, and panelist at design, product and healthcare conferences. I speak at conferences and events focused on women and diversity in tech, and I speak primarily because of the belief that "It's harder to be what you can't see".

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Emily Sappington: Designing for AI, UX London 2019
16:20
Clearleft

Emily Sappington: Designing for AI, UX London 2019

Creating Minimum Viable Intelligence & Setting User Expectations: We are entering the age of intelligence—a time when technologists imbue artificially intelligent components into many products without a clear framework for how such intelligence is delivered to users consistently. It is a product designer’s job to make AI feel human-like and magical, not overwhelming and scary to users. When designing for Artificial Intelligence scenarios, whether for a large enterprise or small startup, setting user expectations is critical to deliver a reliable product. I will share some best practices from designing for AI in both large and small organizations. No matter the company size, a minimum viable product is important to design and not to be the result of unplanned feature cuts. I will share what Minimum Viable Intelligence is for an AI product, and how designers can deliver a clear UX when solving problems efficiently. When thinking of how to design for intelligent products, first and foremost it needs to seem competent. Users must trust the AI agent or service with information and believe that it can achieve their goal. The bar for this depends on the expectations the designer sets. The most difficult thing about breaking out of scenario-focused AI is the lack of clear boundaries. Are you aspiring to create an entire conversational AI agent? Then the bar will be high, being that it is human-like in every way, including what it can respond to. A less intelligent Bot, however, will teach users the rails of its conversation early on to avoid disappointment. In this talk we’ll dig deeper into setting appropriate expectations when designing for AI across large and small applications. Designing AI touchpoints from conversational interfaces to more traditional UI leads a designer to solve for how to best explain the capabilities of AI without overwhelming or frightening the user. This can be achieved by drawing on human interaction models. Responsiveness when users expect it is only one part of this equation. Apps that explain processes in human ways, like thinking, seeing, or reading, can benefit from showing users where they are in a process, while explaining it in natural ways. Emulating true intelligence takes more than just seeming alive and being basically competent though. To surpass users’ expectations can be a delightful moment when the product seems truly and independently intelligent.
Designing with AI – Emily Sappington at UX Brighton 2019
19:22
UX Brighton

Designing with AI – Emily Sappington at UX Brighton 2019

We are entering the age of intelligence—a time when technologists imbue artificially intelligent components into many products without a clear framework for how such intelligence is delivered to users consistently. It is a product designer’s job to make AI feel human-like and magical, not overwhelming and scary to users. When designing for Artificial Intelligence scenarios, whether for a large enterprise or small start up, setting user expectations is critical to deliver a reliable product. Emily will share some best practices from designing for AI in both large and small organizations. No matter the company size, a minimum viable product is important to design and not to be the result of unplanned feature cuts. Emily will share what Minimum Viable Intelligence is for an AI product, and how designers can deliver a clear UX when solving problems efficiently. When thinking of how to design for intelligent products, first and foremost it needs to seem competent. Users must trust the AI agent or service with information and believe that it can achieve their goal. The bar for this depends on the expectations the designer sets. The most difficult thing about breaking out of scenario-focused AI is the lack of clear boundaries. Are you aspiring to create an entire conversational AI agent? Then the bar will be high. A less intelligent Bot, however, will teach users the rails of its conversation early on to avoid disappointment. In this talk we’ll dig deeper into setting appropriate expectations when designing for AI across large and small applications. Emily will share how drawing on human interaction models helps designers know what to expect when people encounter their AI product. Responsiveness when users expect it is only one part of this equation. Apps that explain processes in human ways, like thinking, seeing, or reading, can benefit from showing users where they are in a process, while explaining it in natural ways. Emulating true intelligence takes more than just seeming alive and being basically competent though. To surpass users’ expectations can be a delightful moment when the product seems truly and independently intelligent. About Emily Emily Sappington is the Product Director at Babylon Health. Previously she served as VP of Product at London-based AI startup, Context Scout. Emily has spent the bulk of her career in the United States designing Cortana for Microsoft across devices, particularly Natural Language & UI interactions with the assistant. Emily is a lecturer, US patent-holder, career coach for Ada School (the National College for Digital Skills in the UK), and is a recipient of an Exceptional Talent Visa from the UK Government and Tech Nation. @sappingtonemily LinkedIn/emilysappington
 

LET'S TALK

Design & Product Leadership | Consulting | Public Speaking | Mentoring

London, UK