Designing the Future of Work

Sara Ortloff
Aug 29, 2018 · 8 min read
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At Google Cloud my job is to reimagine enterprise — the tools we build and how we design them. Traditional enterprise products don’t reflect how people work — our pain points, our tasks across the workday, our desire to stay a step ahead. They lack human-centered design. They lack AI.

Before coming to Google, I spent much of my career wrestling with traditional software systems. They were meant to help me work more efficiently but instead, slowed me down. This experience inspired me to build products that elevate people at work, freeing their time for what humans do best — tapping into the social intelligence that builds relationships and solves problems.

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Human-Centered Design and AI Principles — for Enterprise

My team and I developed 3 foundational human-centered design AI-for-enterprise principles. These principles informed our approach to the tools and products we designed for millions of people around the world.

AI in enterprise products should be designed to:

  • enhance what people can achieve at work
  • anticipate what people need at work
  • reduce bias and increase opportunities

These principles ensure that AI informs enterprise in ways that place people first.

Change is a Constant

By 2030, one-third of jobs will require skills that aren’t common — and likely don’t exist today.

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Design for Opportunities

Our design challenges were complex. My team of UX designers, UX researchers, UX content strategists, and I addressed them over time using human-centered design methods.

We began by focusing on users.

We went to workplaces across industries to observe people and their challenges in real time. We spent thousands of hours in contextual inquiry — the practice of gathering field data experientially — with people on both sides of the employment divide. We began to deeply understand their perspectives, their pain points, and their goals.

We designed an ecosystem of opportunity — one that enables widespread, positive societal change. It’s powered by human-centered design and human-focused AI. Jobs are the nexus.

Google for Jobs is our commitment to use our products to help people find work. We want to better connect employers and jobseekers. -Sundar Pichai

Train AI for Opportunities

It’s not easy to apply AI to specific business use cases. But we wanted to do just that. We knew that successfully addressing the use cases of job seekers and recruiters — two sides of the employment challenge — offered opportunities to improve lives at scale.

Google Search. Together with the Search team, we designed job search directly on Google Search, giving millions of job seekers access to up-to-date job descriptions as well as information about companies, salaries, commute-times, and more.

Cloud Talent Solution. We designed Cloud Talent Solution, offering plug-and-play access to Google’s AI and search capabilities, to help large companies find talent faster. Job boards like CareerBuilder, employers like Johnson and Johnson, and thousands of other job boards and career sites use it.

Hire. We designed Hire, a recruiting app that integrates with G Suite, to help small and medium-sized businesses hire faster, smarter, and as a team. Within a year of launch, Hire landed a large, diverse and geographically broad customer base — and it’s growing.

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Cloud Talent Solution

With Cloud Talent Solution, we offer Cloud services that plug into talent acquisition technology, enabling enterprise to find talent using trained and refined AI. It reduces cost per hire, speeds time to hire, saves time, and improves the experience of both recruiters and job seekers. The training data for this matching engine is derived from public data — millions of resumes and job descriptions posted on the web — and is designed to detect and avoid introducing bias.

Our AI is trained to interpret vagueness and synonyms in any job description, job search query, or profile search query. Using confidence scoring based on broad categories (construction) and more specific occupation families (carpet installer, floor layer, etc.), our AI makes the right semantic connections to employers looking for the right candidates and vice versa. A search for “front-end engineer” for example, surfaces candidates with HTML, CSS, and JavaScript skills (no need to use Boolean).

Cloud Talent Solution AI extends even farther. Veterans, for example, can search by U.S. military occupational speciality code to get a list of open civilian jobs that align with the skills they acquired while serving in the military. This means transitioning service personnel can enter their U.S. military occupational specialty code into an employer’s job search bar and expand their opportunities.

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Hire by Google

Smart Sourcing

Candidate Discovery is an intuitive search feature. It gives recruiters a head start by helping them quickly find and short-list past candidates who are a good fit for new positions. Recruiters can easily identify and re-engage known candidates instead of spending time trying to find new ones.

We use human-centered design and human-focused AI to reduce repetitive tasks, freeing people to focus on what humans do best: build relationships and solve problems together. -Sara Ortloff Khoury

Smart Resume Review

Like the AI designed for Cloud Talent Solution, our AI interprets synonyms and acronyms using confidence scoring based on broad job categories (software engineering) and more specific occupation families (front-end engineer). It makes the semantic connections needed to make resume review a new, faster, and more effective experience for recruiters.

Designed for Speed

The Future

Human-centered design must remain at the core.

I believe that our humanness — our creative and social intelligence — will continue to transcend new challenges as technology evolves and continues to transform enterprise. I believe that when we design for the future of work, we’re always designing ecosystems of opportunity. And we should.

I look forward to continuing to reimagine the the tools we use for work — to build business apps and productivity systems that help people work smarter, faster, and with more of a sense of possibility than they imagined possible.

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The Future of Work sketchnote credit: Ling Nieh

This blog post is an extension of a talk on the The Future of Work that I presented with one of our product design leads, Yan Schober, at the Semi Permanent Conference in Auckland, New Zealand.

SARA ORTLOFF KHOURY is a pioneer in design for internet software products and services. As Director of User Experience Design for Google Cloud, Sara leads research and design teams that deliver products and services to help people and businesses thrive. Her product development approach — human-centered design — builds empathy through directly observed insights and drives innovation through experimentation, iterative design, and testing. Before joining Google, Sara led high performance teams at Bay Area start-ups, agencies, global consumer retail, and in finance. Watch her popular TEDx talk on successfully navigating fear of failure.

Google Design

Stories by Googlers on the people, product, and practice of UX at Google

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