101 real-world gen AI use cases from the world's leading organizations在过去一年半的时间里，生成式人工智能（AI）在企业领域的应用迅速发展。Google Cloud的Next活动中展示了超过300家组织如何利用AI推动企业转型。这些企业已经从简单的问答助手，发展到能够进行预测和采取行动的AI代理，进一步扩展其业务功能和提升效率。
具体来说，AI代理在以下几个关键领域表现出显著的效益：首先是客户服务，AI能够帮助企业更好地理解和满足客户需求；其次是员工赋能，通过自动化日常任务和优化工作流程，AI提升了工作效率；在创意构思和生产领域，AI助力企业快速生成创新的解决方案；数据分析方面，AI通过高效处理和解析大数据，支持决策制定；在编码创建方面，AI简化了开发流程，提高了代码质量；最后在网络安全领域，AI加强了数据保护和风险管理。
这些应用不仅提高了生产力和操作效率，还极大地改善了客户体验和企业的创新能力。AI的多模态能力，即在文本、语音、视频等多种通信模式中的应用，使其能够更全面地满足不同行业的需求。通过这些先进的技术，企业正在开创一个智能、高效和互联的新时代。
我们一起来看看，是否有参考？
Since generative AI first captured the world’s attention a year and a half ago, there’s been a vigorous discussion about what, exactly, the new technology is best used for. While we all enjoyed those early funny chats and witty limericks, we’ve quickly discovered that many of the biggest AI opportunities are clearly in the enterprise.
Our customers and partners at Google Cloud have found real potential for creating new processes, efficiencies, and innovations with generative AI. For proof, look no further than the 300-plus organizations who are featured at this week’s Next event in Las Vegas.
In a matter of months, organizations like these have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes.
In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; creative ideation and production; data analysis; code creation; and cybersecurity.
These special capabilities are made possible in large part by the new multimodal capacity of generative AI and AI foundation models, which allow agents to handle tasks across a range of communications modes, including text, voice, video, audio, code, and more. With human support, agents can converse, reason, learn, and make decisions.
The hundreds of customers who joined us at Next ‘24 to showcase and discuss early versions of their AI agents and gen-AI solutions have come to rely on Google Cloud technologies that include our AI infrastructure, Gemini models, Vertex AI platform, Google Workspace, and Google Distributed Cloud. We were also joined by more than 100 partners supporting the creation of AI agents and AI solutions, which you can read about in detail.Here’s a snapshot of how 101 of these industry leaders are putting AI into production today, creating real-world use cases that will transform tomorrow.
Similar to great sales and service people, customer agents are able to listen carefully, understand your needs, and recommend the right products and services. They work seamlessly across channels including the web, mobile, and point of sale, and can be integrated into product experiences with voice and video.
ADT is building a customer agent to help its millions of customers select, order, and set up their home security.
Alaska Airlines is developing a personalized travel search experience using advanced AI techniques, creating hyper-personalized recommendations that engage customers early and foster loyalty through AI-generated content.
Best Buy is using Gemini to launch a generative AI-powered virtual assistant this summer that can troubleshoot product issues, reschedule order deliveries, manage Geek Squad subscriptions, and more; in-store and digital customer-service associates are also gaining gen-AI tools to better serve customers anywhere they need help.
The Central Texas Regional Mobility Authority is using Vertex AI to modernize transportation operations for a smoother, more efficient journey.
Etsy uses Vertex AI training to optimize their search recommendations and ads models, delivering better listing suggestions to buyers and helping sellers grow their businesses.
Golden State Warriors are using AI to improve the fan experience content in their Chase Center app.
IHG Hotels & Resorts is building a generative AI-powered chatbot to help guests easily plan their next vacation directly in the IHG One Rewards mobile app.
ING Bank aims to offer a superior customer experience and has developed a gen-AI chatbot for workers to enhance self-service capabilities and improve answer quality on customer queries.
Magalu, one of Brazil’s largest retailers, has put customer service at the center of its AI strategy, including using Vertex AI to create “Lu’s Brain” to power an interactive conversational agent for Lu, Magalu's popular brand persona (the 3D bot has more than 14 million followers between TikTok and Instagram).
Mercedes Benz will infuse e-commerce capabilities into its online storefront with a gen AI-powered smart sales assistant. Mercedes also plans to expand its use of Google Cloud AI in its call centers and is using Vertex AI and Gemini to personalize marketing campaigns.
Oppo/OnePlus is incorporating Gemini models and Google Cloud AI into their phones to deliver innovative customer experiences, including news and audio recording summaries, AI toolbox, and more.
Samsung is deploying Gemini Pro and Imagen 2 to their Galaxy S24 smartphones so users can take advantage of amazing features like text summarization, organization, and magical image editing.
The Minnesota Division of Driver and Vehicle Services helps non-English speakers get licenses and other services with two-way real-time translation.
Pepperdine University has students and faculty who speak many languages, and with Gemini in Google Meet, they can benefit from real-time translated captioning and notes.
Sutherland, a leading digital transformation company, is focused on bringing together human expertise and AI, including boosting its client-facing teams by automatically surfacing suggested responses and automating insights in real time.
Target uses Google Cloud to power AI solutions on the Target app and Target.com, including personalized Target Circle offers and Starbucks at Drive Up, their curbside pickup solution.
Tokopedia, an Indonesian ecommerce leader, is using Vertex AI to improve data quality, increasing unique products being sold by 5%.
US News saw a double-digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages after implementing Vertex AI Search.
IntesaSanpaolo, Macquarie Bank, and Scotiabank are exploring the potential of gen AI to transform the way we live, work, bank, and invest — particularly how the new technology can boost productivity and operational efficiency in banking. Watch the session to learn more.
Employee agents help workers be more productive and collaborate better together. These agents can streamline processes, manage repetitive tasks, answer employee questions, as well as edit and translate critical communications.
Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth.
Bank of New York Mellon built a virtual assistant to help employees find relevant information and answers to their questions.
Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently.
Bristol Myers Squibb is transforming its document processes for clinical trials using Vertex AI and Google Workspace. Now, documentation that took scientists weeks now gets to a first draft in minutes.
BenchSci develops generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster.
Cintas is using Vertex AI Search to develop an internal knowledge center for customer service and sales teams to easily find key information.
Covered California, the state’s healthcare marketplace, is using Document AI to help improve the consumer and employee experience by automating parts of the documentation and verification process when residents apply for coverage.
Dasa, the largest medical diagnostics company in Brazil, is helping physicians detect relevant findings in test results more quickly.
DaVita leverages DocAI and Healthcare NLP to transform kidney care, including analyzing medical records, uncovering critical patient insights, and reducing errors. AI enables physicians to focus on personalized care, resulting in significant improvements in healthcare delivery.
Discover Financial helps their 10,000 contact center representatives to search and synthesize information across detailed policies and procedures during calls.
HCA Healthcare is testing Cati, a virtual AI caregiver assistant that helps to ensure continuity of care when one caregiver shift ends and another begins. They are also using gen AI to improve workflows on time-consuming tasks, such as clinical documentation, so physicians and nurses can focus more on patient care.
The Home Depot has built an application called Sidekick, which helps store associates manage inventory and keep shelves stocked; notably, vision models help associates prioritize which actions to take.
Los Angeles Rams are utilizing AI across the board from content analysis to player scouting.
McDonald’s will leverage data, AI, and edge technologies across its thousands of restaurants to implement innovation faster and to enhance employee and customer experiences.
Pennymac, a leading US-based national mortgage lender, is using Gemini across several teams including HR, where Gemini in Docs, Sheets, Slides and Gmail is helping them accelerate recruiting, hiring, and new employee onboarding.
Robert Bosch, the world's largest automotive supplier, revolutionizes marketing through gen AI-powered solutions, streamlining processes, optimizing resource allocation, and maximizing efficiency across 100+ decentralized departments.
Symphony, the communications platform for the financial services industry, uses Vertex AI to help finance and trading teams collaborate across multiple asset classes.
Uber is using AI agents to help employees be more productive, save time, and be even more effective at work. For customer service representatives, they’ve launched new tools that summarize communications with users and can even surface context from previous interactions, so front-line staff can be more helpful and effective
The U.S. Dept. of Veterans Affairs is using AI at the edge to improve cancer detection for service members and veterans. The Augmented Reality Microscope (ARM) is deployed at remote military treatment facilities around the world. The prototype device is helping pathologists find cancer faster and with better accuracy.
The U.S. Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies.
Verizon is using generative AI to help teams in network operations and customer experience get the answers they need faster.
Victoria’s Secret is testing AI-powered agents to help their in-store associates find information about product availability, inventory, and fitting and sizing tips, so they can better tailor recommendations to customers.
Vodafone uses Vertex AI to search and understand specific commercial terms and conditions across more than 10,000 contracts with more than 800 communications operators.
WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours.
Woolworths, the leading retailer in Australia, boosts employees’ confidence in communications with “Help me write” across Google Workspace products for more than 10,000 administrative employees. It’s also using Gemini to create next-generation promotions, as well as for quickly assisting customer service reps in summarizing all previous customer interactions in real time.
Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.
Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.
Creative agents can expand your organization with the best design and production skills, working across images, slides, and exploring concepts with workers. Many organizations are building agents for their marketing teams, audio and video production teams, and all the creative people that can use a hand. With creative agents, anyone can become a designer, artist, or producer.
Belk ECommerce is using generative AI to craft better product descriptions, a necessary yet time-consuming task for digital retails that has often been done manually.
Canva is using Vertex AI to power its Magic Design for Video, helping users skip tedious editing steps while creating shareable and engaging videos in a matter of seconds.
Carrefour used Vertex AI to deploy Carrefour Marketing Studio in just five weeks — an innovative solution to streamline the creation of dynamic campaigns across various social networks. In just a few clicks, marketers can build ultra-personalized campaigns to deliver customers advertising that they care about.
Major League Baseball continues to innovate its Statcast platform, so teams, broadcasters, and fans have access to live in-game insights.
Paramount currently relies on manual processes to create the essential metadata and video summaries used across its Paramount+ platform for showcasing content and creating personalized experiences for viewers. VertexAI Text Bison is now helping to streamline this process.
Procter & Gamble used Imagen to develop an internal gen AI platform to accelerate the creation of photo-realistic images and creative assets, giving marketing teams more time to focus on high-level planning and delivering superior experiences for its consumers.
WPP will integrate Google Cloud’s gen AI capabilities into its intelligent marketing operating system, called WPP Open, which empowers its people and clients to deliver new levels of personalization, creativity, and efficiency. This includes the use of Gemini 1.5 Pro models to supercharge both the accuracy and speed of content performance predictions.
Data agents are like having knowledgeable data analysts and researchers at your fingertips. They can help answer questions about internal and external sources, synthesize research, develop new models — and, best of all, help find the questions we haven’t even thought to ask yet, and then help get the answers.
AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly
Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases.
The Asteroid Institute is using AI to discover hidden asteroids in existing astronomical data. This is a major focus for astronomers researching the evolution of the Solar System, investors and businesses hoping to fly missions to asteroids, and for all of us who want to prevent future large asteroid impacts on Earth.
Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases.
Cox 2M, the commercial IoT division of Cox Communications, is able to make smarter, faster business decisions using AI-powered analytics.
Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models.
Generali Italia, Italy's largest insurance provider, used Vertex AI to build a model evaluation pipeline that helps ML teams quickly evaluate performance and deploy models.
Globo, one of Brazil’s largest media networks, is using Service Extensions and Media CDN to fight piracy during live events by blocking pirated streams in real time.
Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software.
Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo.
Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages.
McLaren Racing is using Google AI to get up-to-the-millisecond insights during races and training to gain a competitive edge.
Mercado Libre is testing BigQuery and Looker to optimize capacity planning and reservations with delivery carriers and airlines to fulfill shipments faster.
Mistral AI will use Google Cloud's AI-optimized infrastructure, to further test, build, and scale up its LLMs, all while benefiting from Google Cloud's security and privacy standards.
MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks.
NewsCorp is using Vertex AI to help search data across 30,000 sources and 2.5 billion news articles updated daily.
Orange operates in 26 countries where local data must be kept in each country. They are using AI on Google Distributed Cloud to improve network performance and deliver super-responsive translation capabilities.
Spotify leveraged Dataflow for large-scale generation of ML podcast previews, and they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators.
UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time.
Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike.
Woven — Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in resulting in 50% total-cost-of-ownership savings to support automated driving.
Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow.
Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.
NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI. Watch the session to learn more.
Code agents are helping developers and product teams to design, create, and operate applications faster and better, and to ramp up on new languages and code bases. Many organizations are already seeing double-digit gains in productivity, leading to faster deployment and cleaner, clearer code.
Capgemini has been using Code Assist to improve software engineering productivity, quality, security, and developer experience, with early results showing workload gains for coding and more stable code quality.
Commerzbank is enhancing developer efficiency through Code Assist's robust security and compliance features.
Quantiphi saw developer productivity gains of more than 30% during their Code Assist pilot.
Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform.
Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development.
Turing is customizing Gemini Code Assist on their private codebase, empowering their developers with highly personalized and contextually relevant coding suggestions that have increased productivity around 30 percent and made day-to-day coding more enjoyable.
Wayfair piloted Code Assist, and those developers with the code agent were able to set up their environments 55 percent faster than before, there was a 48 percent increase in code performance during unit testing, and 60 percent of developers reported that they were able to focus on more satisfying work.
Security agents assist security operations by radically increasing the speed of investigations, automating monitoring and response for greater vigilance and compliance controls. They can also help guard data and models from cyberattacks, such as malicious prompt injection.
BBVA uses AI in Google SecOps to detect, investigate, and respond to security threats with more accuracy, speed, and scale. The platform now surfaces critical security data in seconds, when it previously took minutes or even hours, and delivers highly automated responses.
Behavox is using Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally.
Charles Schwab has integrated their own intelligence into the AI-powered Google SecOps, so analysts can better prioritize work and respond to threats.
Fiserv’s security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly.
Grupo Boticário, one of the largest beauty retail and cosmetics companies in Brazil, employs real-time security models to prevent fraud and to detect and respond to issues.
Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings.
Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds.
To find even more customers using our AI tools to build agents and solutions for their most important enterprise projects, visit the Google Cloud customer hub and watch the Next ‘24
Data Analysis
2024年04月12日
Data Analysis
Google Workspace推出Gemini：开启AI增强生产力的新篇章Google Workspace推出了为各种规模的组织设计的Gemini Business计划，以及一个全新的、具有企业级数据保护的独立Gemini聊天体验。Gemini Business计划每用户每月20美元起，提供包括文档和邮件中的写作帮助、表格中的增强智能填充和幻灯片中的图像生成等功能。Gemini Enterprise计划则以每用户每月30美元提供更多使用量和额外的AI驱动会会议的AI功能，如闭幕字幕的翻译和会议记录。
此外，Gemini还提供了一个独立的企业级聊天体验，通过使用最大且最有能力的1.0 Ultra模型，确保了企业级的数据保护，不用于广告目的或改进生成机器学习技术，不被人工审查或与其他用户或组织共享。这些更新旨在提高工作效率和团队合作，同时保障用户数据的安全和隐私。
2024年2月21日 — Google Workspace引入了Gemini Business和Gemini Enterprise，这标志着在其套件内整合人工智能的重大进步。由Aparna Pappu（副总裁兼总经理）领衔的这一举措旨在满足组织多样化的需求，用AI增强日常操作。
向前迈出的革命性一步 本月，Google宣布Duet AI转变为Google Workspace的Gemini，提供了对先进AI模型的访问。此次升级将Gemini集成到广泛使用的Workspace应用中，旨在简化从个人事件规划到复杂商业战略制定等任务。
用AI赋能企业 以每用户每月20美元（需年度承诺）的竞争价格推出的Gemini Business，旨在为所有规模的组织普及生成式AI技术的使用。它提供了如Docs和Gmail中的“帮我写”，Sheets中的“增强智能填充”以及Slides中的图像生成等功能，目的是提高生产力和创造力。
以每用户每月30美元的价格，Gemini Enterprise扩展了这些功能，并增加了AI驱动会议的附加特性，包括实时翻译100多种语言以及即将推出的会议记录功能。现有的Duet AI客户将自动过渡到这个增强计划。
交互的新维度 一个突出的特点是与Gemini的新独立聊天体验，利用1.0 Ultra模型进行更深入、更有洞察力的互动。这个平台承诺提供企业级数据保护，确保通信的隐私和安全。
展望未来 Google Workspace不仅在增强当前的商业和企业产品，还在探索扩展到教育领域。这一举措反映了Google利用AI提高各类用户群体的效率和创新的承诺。
Gemini for Workspace代表了企业、教育机构和个人利用AI实现更大生产力和创造力的关键发展。随着Google Workspace的持续演进，Gemini的整合预示着一个技术和人类智慧无缝融合的未来。
Data Analysis
2024年02月21日
Data Analysis
People Analytics:Introducing the Visier Path, a Proven Route to Business ImpactVisier Path是一种策略框架，旨在指导组织通过人员分析的旅程。它汇集了十多年的专业知识和数千个成功部署的精华，为HR和业务领导者提供了一个清晰、易于访问的“地图”。该框架将人员分析活动和HR实践与CHRO的战略优先事项对齐，提供了一个灵活、经过验证的途径，以实现显著的业务影响。通过先锋类比，它强调了从原始数据到可操作见解的演变，确保组织可以根据特定目标和策略定制他们的旅程。推荐阅读这篇文章：
The Visier Path is the framework we use to guide our cuhttps://www.visier.com/path/stomers to solve the people challenges they care about most. It’s a distillation of our deep people analytics expertise spanning thousands of successful deployments over a decade.
Here, VP of People Analytics, Ian Cook, explains what the Visier Path is, how it can help you, and why we’re sharing this “uniquely Visier” concept with the world.
Pioneering in people analytics
Traveling through the Rockies on North America's West Coast is a stunning journey. The land is vast and varied. Driving through high peaks and dense forests, one cannot help but ponder the fates and fortunes of the pioneers who first attempted to travel from east to west.
Their journey, likely slow and difficult, laid the foundation for current-day road journeys. We cruise effortlessly along a smooth, well-engineered, and clearly marked highway. Following the path created by others, we can be certain of a speedy trip to our destination.
People analytics was once a new concept that had to be pioneered. Back in the late 90’s, academic institutions started to pursue the work that we now call people analytics. They saw the promise of studying the “digital records” of employees to look for trends that could benefit the whole organization.
Flash forward to today: people analytics is now a well-established discipline, with commonly accepted approaches and a detailed understanding of how to build a successful practice.
Visier played a pioneering role in making this happen. We were the first purpose-built analytics platform for people data, and we’ve supported thousands of organizations as they founded and scaled their PA teams. As an organization, we’ve gathered a lot of knowledge about how to get from A to B in people analytics. Now, our goal is to smooth and speed the people analytics journey for you.
Introducing the Visier Path
When you choose Visier, you get access to a vast amount of knowledge not available anywhere else. The Visier Path distills the wisdom from over a decade of experience into one straightforward “map” that’s accessible to HR and business leaders alike.
Consider The Visier Path a guide that outlines exactly which people analytics activities and HR business practices are required to achieve a CHRO’s key strategic priorities.
Guiding you toward the right business impact
How, exactly, does the Visier Path help meet a CHRO’s objectives? It’s all about linking data and action.
Too often, people analytics is dressed up in confusing language and seen as either an esoteric internal research project or an IT project focused on wrangling data. We believe people analytics teams should model their work in the same way as FP&A teams support the CFO. That is to say: they must provide ongoing information about the performance and behavior of the workforce so that leaders can make the decisions that will have the right impact.
The Visier Path breaks down the steps needed for an organization to move from raw data to the right analysis, to tangible action that supports a business goal. The quality of that linkage—from data through to impact—is what separates the best people analytics teams from the rest.
Every organization’s journey is different
Every organization has different goals and strategies. That’s why we designed the Visier Path to be completely flexible depending on what’s important to you. While every company will start with the fundamentals (shown in yellow), the rest of your journey along the Path is completely bespoke.
The Visier Path, your proven route to people analytics success. Click to enlarge.
The Visier Path is arranged from left to right in order of increasing level of impact on the business. The Foundational Impact zone is about aligning on a single place where HR leaders, HRBPs, and managers can answer their people questions. The Drive HR Impact zone helps you target specific HR jobs to be done that are likely to be part of the CHRO’s agenda. Finally, the Drive Business Impact zone focuses on org-wide challenges that will directly affect the business’s financial performance.
The proven approach
The Visier Path is the proven, low-risk way to start your people analytics journey. It’s also the clear and effective way to evolve your practice as your capability increases and so does the demand for people analytics within your organization. The path takes the uncertainty out of buying, deploying, and scaling a people analytics solution, and ensures that your investment has measurable business impact.
We hope you find our guide valuable and accessible. If you would like to understand more about The Visier Path, the collective wisdom it embodies, the practices that it supports, or the impact it can have on your business, please don’t hesitate to reach out—we'd love to hear from you.
AIHR:Measuring Employee Experience: A Practical Guide for 2024
Keeping your employees engaged, motivated, and satisfied throughout their journey with your organization is key to business success. Measuring employee experience allows HR professionals to understand how their workforce feels and ensure the team remains fulfilled.
In this article, we’ll explore how to measure employee experience, evaluate the results, and turn them into meaningful action.
Contents
What is employee experience (EX)?
Why measure employee experience?
How to measure employee experience
Best practices for measuring employee experience
FAQ
What is employee experience (EX)?
Employee experience (EX), in its simplest form, is how employees perceive their stay at your organization from when they apply for a job to after they leave.
It encompasses various dimensions – ranging from the physical workspace and technological tools being used to the organizational culture, professional growth opportunities made available, and social interactions they have with colleagues or superiors.
It’s more than just a collection of daily experiences at work; EX profoundly shapes an employee’s perceptions about their employer and impacts their decision to stay or leave.
DIVE DEEPEREmployee Experience vs. Employee Engagement: 4 Differences To Know
Why measure employee experience?
87% of employee experience experts say that a great employee experience helps retain and attract talent. However, only 51% of employees feel that their organization is delivering on the experience they promised.
By measuring employee experience, you can uncover and fix issues and discrepancies to reap the benefits of a satisfied and engaged workforce.
Let’s break down the reasons why you should measure employee experience.
Enhanced productivity and performance
Research shows that superior employee experience (EX) may lead to enhanced productivity.
Employees who feel satisfied, empowered, and valued are more motivated to perform at their highest level. They significantly contribute to organizational goals, which can result in an over 50% increase in revenue.
By focusing on optimizing the employee journey – from end to end – companies can foster a work environment that stimulates both individual and team performance.
LEARN MORE23 Key Employee Experience Statistics You Should Know in 2024
Retaining talent
Monitoring and enhancing EX levels significantly contributes to improving retention rates. Employees who resonate with their company culture and find meaning in their work stay longer in their organizations.
Examining facets like workplace habits or preferences provides employers invaluable insights related to employee experience – which ultimately feeds into long-term staff retention strategies.
Making informed decisions related to HR practices
A robust method of measuring employee experience offers in-depth insights into how employees perceive things such as career development opportunities or even intricate details like office seating arrangements.
This helps HR shape policies and practices strategically and make smarter decisions that maximize the workforce potential while actively minimizing discontentment factors.
Enhanced customer experience
A happier workforce equals happier customers. Companies with great employee experience report 2X as high customer satisfaction levels compared to businesses scoring low on employee experience.
A well-executed EX strategy will aid your organization in delivering higher standards of service, creating a ripple effect that extends far beyond merely measuring employee experience for internal benefit.
Australian Defence Bank collaborated with the employee and customer experience management platform Insync to measure and improve EX and CX.
Investing in their employees has helped them build a motivated workforce and get outstanding business results. Not only are they in the top 10% for employee engagement compared to other financial organizations, but they have also achieved record deposit growth in transaction and savings account balances.
Innovation, growth, and improved organizational performance
As we’ve already alluded to, keeping your finger on the pulse of EX can set the scene for broader innovation and growth within an organization.
Employee experience goes hand in hand with employee engagement, which helps foster an innovative culture and a passionate commitment to ongoing improvement—an infallible recipe to drive the company performance northward.
To sum it up, measuring employee experience isn’t simply good practice, but it can bring numerous strategic benefits that make a profound impact on organizations and their competitive standing in the market.
How to measure employee experience
Employee experience is a multifaceted and intangible concept, which is not easy to quantify at first sight. Successfully measuring it involves defining relevant employee experience metrics and methods of measurement to collect the data.
Let’s take a closer look.
1. Define and track employee experience metrics
Employee experience metrics allow organizations to gain insight into the wellbeing, satisfaction, and productivity of their teams. The following metrics serve as good indicators of the employee experience levels at your organization:
Retention rates
Retention rates signify how many employees remained within the company over a specified period. A high employee retention rate generally implies positive experiences at work, while low rates indicate potential problems or dissatisfactions among staff.
Intent to stay
This metric shows how many employees foresee themselves staying with an organization over a lengthy period. It can provide insights into the workforce’s commitment level and their perception of future opportunities within the company.
Number of employee referrals
The number of referrals from existing staff suggests how highly they rate working within the organization. The higher this figure is, the more positive opinions workers hold about their employee experience, and that’s why they’re willing to recommend you as an employer.
Productivity metrics
Productivity indicators such as performance ratings or meeting project deadlines can reveal a lot about how efficiently an employee works. High productivity levels generally imply a supportive environment that propels the team towards achieving set objectives.
Employee Net Promoter Score (eNPS)
The eNPS asks employees on a scale from 0-10 whether they would recommend their place of work to others – typically friends or family members. The data gleaned helps appraise the overall employee experience levels.
Employee Experience Index
The Employee Experience Index score takes into account an array of factors influencing the overall workplace atmosphere, like engagement levels, empowerment feelings, job fulfillment factors, and key performance indicator achievement. It provides a holistic overview of what it might be like working for your organization.
The exact dimensions of the Employee Experience Index depend on how an organization defines it. Two well-known Employee Experience Index systems have been developed by IBM and Forrester.
2. Administer surveys
Once you know what insights you’re hoping to gain, you can start collecting data. Surveys are an indispensable tool for measuring employee experience.
There are a couple of types of surveys that you can utilize.
Employee experience surveys
Employee experience surveys provide an avenue for employees to confidentially share views about their workplace, its leadership practices, and its culture. Organizations typically conduct employee experience surveys annually, bi-annually, or quarterly.
Including both quantitative and qualitative questions in your survey will provide you with comprehensive data on your respondents’ perspectives.
Quantitative questions, usually closed-ended, help gather structured data that you can do a statistical analysis of, revealing patterns and trends in responses.
On the other hand, qualitative questions, typically open-ended, elicit descriptive and narrative responses that dive deeper into the nuances and complexities of participants’ experiences and feelings. These responses shed light on the ‘why’ and ‘how’ behind the numbers, uncovering the underlying motivations, beliefs, and emotions that drive behaviors and opinions.
By incorporating both types of questions, you can capture the breadth of information and the depth of insights.
Employee experience survey questions examples
Next to the eNPS question “On a scale from 1 to 10, how likely are you to recommend our organization as a place to work to your friends and family?”, examples of quantitative employee experience survey questions include:
On a scale of 1 to 10, with 1 being “Not at all” and 10 being “Extremely”:
How satisfied are you with the opportunities for professional development within the company?
How confident do you feel in your current role and responsibilities?
How supported do you feel by your direct supervisor or manager?
Qualitative questions you can consider covering in your survey are:
In your opinion, what 2-3 changes could be made to improve the overall work environment and culture?
What aspects of our company’s culture do you value the most?
If you could recommend one thing to improve team collaboration, what would it be and why?
Pulse surveys
Pulse surveys are short, frequent surveys designed to quickly capture employee feedback and continuously gauge overall sentiment about their workplace experience.
Focusing on a few key questions, they are less burdensome for employees, leading to higher response rates. These surveys can help organizations zoom in on current events or specific workplace issues that impact employee experience.
However, regularly collecting data can lead to an abundance of information. Organizations must have the capacity and tools to analyze and act on this data to prevent it from becoming overwhelming or underutilized.
It’s crucial to use pulse surveys strategically and in combination with other feedback mechanisms to ensure a comprehensive understanding of the employee experience.
New hire surveys
New hire surveys help you capture insights about one of the most crucial “moments that matter” in an employee’s journey: their onboarding. This initial phase sets the tone for an employee’s tenure with the company, shaping their perceptions, expectations, and overall sentiment toward the organization.
You can glean valuable feedback about the effectiveness of your onboarding processes, the clarity of role expectations, and the cultural immersion experience.
This feedback not only provides a snapshot of the new employees’ experience but also offers actionable insights for organizations to refine their onboarding processes so that they create a positive and lasting first impression.
3. Conduct qualitative interviews
One-on-one dialogues with employees afford a deeper understanding of the intricacies at play regarding the overall employee experience.
By conducting employee interviews, you can complement and enrich your survey data. They provide you with an excellent opportunity to ask open-ended questions and give your employees space to express their opinions and perceptions.
Two common types of interviews to gather qualitative data are stay interviews and exit interviews.
Stay interviews
These discussions aim to find out why employees opt to remain with an organization. HR professionals can then identify the positive aspects of their working experiences that should be reinforced or replicated.
Exit interviews
Exit interviews help you assess why employees leave your organization and how they see their time spent working for you. These discussions allow you to better understand the challenges our employees face at work, providing insights into potential corrective measures.
By adopting these varied approaches blending both quantitative and qualitative employee experience measurement methods, businesses can effectively gauge worker sentiments – thereby improving employee experiences and driving organizational success.
Best practices for measuring employee experience
Measuring employee experience effectively goes beyond defining relevant metrics and conducting surveys and interviews.
To get a comprehensive view of employee experience at your organization and put your findings into action, you need to follow these five best practices.
Setting clear objectives
Begin with a set of distinct objectives that align with your company’s overall business strategy. This is crucial for accurately evaluating the employee experience.
Why exactly do you want to assess employee experience? Are you aiming to increase productivity or retention rates or encourage higher creativity levels across teams?
Your end goals play an indispensable role in determining which part of the employee journey needs focus and what type of feedback you need from the employees.
Conducting research across different employee groups
When you’re measuring employee experience, you need to recognize diversity within your workforce. That helps you accurately capture different facets of the work experiences of diverse groups in your organization.
Make sure to survey or interview employees from diverse backgrounds, different job levels, departments, and lengths of service to understand the unique challenges they might face.
Dell Technologies partnered with an employee experience measurement platform Voxxify to design a hybrid work plan for one of their European offices. Over 60% of employees responded to the survey, providing more than 2,100 individual comments.
The analysis results helped identify four areas of focus. These included updating the handbook for managers and employees for hybrid work considerations, defining the value of coming into the office, supporting employees’ mental wellness, and optimizing facilities and technology to enhance the work environment.
The office now sees occupancy rates of 60% or more on Tuesdays through Thursdays, and the success of the measurement effort has led to plans to repeat it annually.
Overcoming survey fatigue and ensuring participation
It may be tempting to send surveys left and right for comprehensive data collection when measuring employee experience. However, you should really avoid doing so. Survey fatigue can quickly pile up, draining previously enthusiastic participants’ eagerness to provide valuable insights.
To keep engagement high and maximize response rates, make sure your surveys are succinct yet thorough. Carefully plan your survey schedule to not overwhelm your team. For example, you can send out a comprehensive survey quarterly or bi-annually, with a couple of shorter pulse surveys in between.
It also helps to effectively communicate the purpose behind these assessments, so employees see them not as tasks but as avenues towards improving their work lives. You can, for instance, share examples of initiatives you implemented based on employee feedback.
Guaranteeing confidentiality
Nothing squashes honesty quicker than a sense of insecurity surrounding responses’ anonymity, which makes maintaining confidentiality critical to effective employee experience measurement.
If you use external applications for gathering feedback, emphasize their confidentiality features.
You should also invest in fostering an environment where employees feel they can honestly express thoughts and concerns without fear of retribution. Doing so will not only amplify trust but also provide you with more authentic data to work on.
Acting on employee feedback
Once you’ve gathered and analyzed employee feedback, it’s time to take action. Prioritize high-impact initiatives and create a plan for how to implement these.
Employees need to believe that their input sparks real change; otherwise, they might lose engagement in such processes altogether. Recognize employee contributions and communicate plans about future improvements based on their input clearly. Transparency here fosters a sense of responsibility among the staff and improves morale during periods of change.
Ultimately, measuring employee experience is a cyclical process. It starts from setting clear objectives leading up each step to enacting feedback-led changes and then identifying newer areas for improvement continuously.
Key takeaway
Staying on top of your employees’ experiences at work allows companies to detect dissatisfaction early enough and tackle issues before they develop into bigger problems. It’s a great way to improve HR practices and design employee experience that promotes productivity, talent retention rates, and ultimately a better workplace environment.
Relevant employee experience metrics help you quantify the concept and solidify your measurement process. Surveys and qualitative interviews give voice to your employees, offering rich insights into the workers’ perceptions of the workplace.
However, it’s the organization’s responsiveness to feedback that significantly impacts the effectiveness of measuring employee experience. It is key to not just listen but also take action based on employees’ feedback for positive changes.
FAQ
What are the most important employee experience metrics to measure?
When it comes to measuring employee experience, key metrics that organizations use include:
– Retention rates: Your business’s retention rates can reveal much about employees’ willingness to commit long-term to an organization.
– Intent to stay: Beyond just assessing current employee tenure, discerning whether staff members aspire to stay with the company for the foreseeable future is a valuable indicator of how they perceive their journey at your organization.
– Employee Net Promoter Score (eNPS): This quantifies how likely employees would recommend their workplace to others – a telling sign of overall satisfaction and positive employee experience.
A combination of several employee experience metrics paints a nuanced picture of overall employee experience in any organization.
Are surveys the best way to measure employee experience?
Surveys play an instrumental role in gauging overall employee experience levels—all thanks to their ability for large-scale data collection and sentiment analysis. They also provide insights into potential pain points and highlight areas for improvement according to actual employee sentiments.
However, while valuable, relying solely on surveys can lead to limited insights. Conducting different types of interviews, like stay and exit interviews, helps complement the survey data with deeper insights.
What is the Employee Experience Index?
The Employee Experience Index is a metric that aims to give a comprehensive view of employees’ experience. Essentially, it helps you gauge the overall ‘health’ of organizational culture and environment.
IBM’s Employee Experience Index assesses employee experience on five core dimensions: Belonging, Purpose, Achievement, Happiness, and Vigor.
The Employee Experience Index from Forrester evaluates three elements of EX: Empower, Inspire, and Enable.
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