AI adoption should not be measured by how many employees use a tool. It should be measured by whether work gets completed faster, more simply, and with better outcomes.
In this episode, John Phillips, Group Vice President of Employee Experience at ServiceNow, explains why employee experience depends on the complete value exchange between people and organizations, including the software and workflows employees use every day.
Employee engagement is often reduced to satisfaction scores, survey results, or whether people appear happy at work. A better measure is discretionary effort: the additional energy, care, and judgment someone chooses to contribute beyond the minimum required.
That effort depends on the value employees receive in return. Compensation matters, but so do purpose, flexibility, useful technology, and the ability to connect work with personal values and life goals.
COVID permanently changed that exchange. It challenged old assumptions about where work happens, how people balance professional and personal responsibilities, and what employees expect from an organization.
Technology now shapes that experience as much as policy or culture. Employees should not have to move between disconnected systems, repeat information, or learn a different process for every task. Each point of friction makes work harder and reduces productivity.
The future is a simpler, more personalized experience that connects systems around the job an employee needs to complete. AI can support that future, but buying more tools is not the same as improving work. When those tools do not share data, workflows, security, and governance, they create another layer of complexity.
Organizations should stop counting licenses, logins, and prompts as proof of successful AI adoption. The better questions are whether employees completed the job, whether the experience improved, and whether the business achieved a meaningful outcome.
Key Takeaways
➡️ AI adoption is an outcome question, not a usage metric. More licenses, logins, or prompts do not prove that work has become faster, simpler, or more effective.
➡️ Employee engagement is best understood as discretionary effort. The value exchange between employees and employers determines whether people choose to contribute beyond the minimum.
➡️ Software experience is part of employee experience. Disconnected systems, repeated steps, and fragmented workflows directly affect productivity and satisfaction.
➡️ COVID permanently changed expectations about work. Employees now evaluate flexibility, purpose, technology, and the relationship between work and life as part of the employment experience.
➡️ Hyper-personalization should simplify work around the outcome an employee needs. AI creates value when it connects data and workflows instead of adding another isolated tool.
Chapters
00:00 Employee Experience at ServiceNow
03:06 The State of Employee Experience
09:15 The Employee-Employer Value Exchange
12:11 Engagement and Discretionary Effort
18:20 How COVID Changed Work
23:11 Why Software Is Part of Employee Experience
30:39 Defining Work Through Values and Purpose
35:27 Measuring AI Adoption by Outcomes
Guest
John Phillips, Group Vice President of Employee Experience, ServiceNow
LinkedIn: https://www.linkedin.com/in/talentfirst
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