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Comp and Coffee

Comp and Coffee

Written by: WRKdefined Podcast Network
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Comp and Coffee is a podcast by Payscale where we explore the art and science of compensation management. Grab a cup of coffee, settle in, and join us for conversations on pay and performance—packed with insights, practical tips, and strategies to help you stay ahead in a rapidly evolving world of work.All rights reserved by WRKdefined Economics Management Management & Leadership
Episodes
  • Is pay for performance is breaking under modern expectations?

    Is pay for performance is breaking under modern expectations?
    Oct 7 2026
    For many years, pay for performance has been a core principle of compensation. Perform well, earn more. Contribute more, receive a bigger increase. Reward the people who create the most value. Simple enough in theory. But today’s workplace is making that model harder to defend. Employees expect more transparency around how pay decisions are made. Leaders are under pressure to retain critical talent. Compensation teams are balancing performance, market movement, internal equity, and increasingly constrained budgets. So what happens when performance-based pay is expected to solve everything? In this episode, Ruth Thomas and James Seechurn explore where traditional pay-for-performance models are falling short, what employees and leaders expect from them today, and how organizations can build compensation programs that are more fair, defensible, and aligned with business needs. Access Payscale’s 11th Annual Salary Budget Survey: https://www.payscale.com/featured-content/salary-budget-survey-sbs
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    45 mins
  • Is compensation always-on?

    Is compensation always-on?
    Sep 7 2026
    For the longest time, compensation has revolved around an annual rhythm. One yearly market data refresh. One compensation planning cycle. But that rhythm no longer matches the pace of today's workforce. Jobs evolve faster than ever. Skills become outdated in months instead of years. AI is changing work, labor markets shift overnight, and new pay transparency regulations require organizations to make compensation decisions with greater consistency and confidence. So what happens when the business changes every day, but compensation only changes once a year? In this episode, we explore why more organizations are rethinking compensation as an ongoing business capability rather than an annual event. We'll discuss what's driving this shift, how technology and AI are changing the role of compensation teams, and what leaders should do now to prepare for a more continuous approach to pay. Host: Ruth Thomas – Chief Compensation Strategist, Payscale Guest: Matthew Carson – Senior Director, Compensation Strategy & Analytics, UnitedHealth Group
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    28 mins
  • The job is changing faster than the job description

    The job is changing faster than the job description
    Aug 31 2026
    For years, organizations could define a role and expect its responsibilities to remain relatively stable. Today, that assumption no longer holds. AI is reshaping work. New skills emerge constantly. Responsibilities evolve faster than organizations can update job descriptions, job architectures, or compensation frameworks. The result? Employees are doing work that doesn't match their job descriptions. Recruiters are hiring for skills that don't fit existing roles. Compensation teams are trying to benchmark jobs that seem to change every quarter. So what happens when the work changes faster than the systems designed to define it? In this episode, we explore why organizations need to rethink job architecture for a world of continuous change, how AI is accelerating skills evolution, and what HR leaders can do to build job frameworks that are flexible enough for the future. Host: Ruth Thomas – Chief Compensation Strategist, Payscale Guest: Katrina Kibben – Founder, Three Ears Media | Recruiting Trainer, Author, and Keynote Speaker Episode resources: Watch recording: How to prevent offer and pay alignment issues that create hiring delays​ Watch recording: The right and wrong way to use AI in job descriptions
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    32 mins
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