Totally Rewarding Chats

Sean and Paul get together with Christina Watts, Consultant with Marsh, to debate whether the traditional annual pay increase cycle still earns its place, and what companies can do instead. You will hear the case that the yearly increase process is trying to solve too many problems at once, a counterargument that it serves real human needs no spreadsheet captures, and a practical middle ground that separates market movement, internal equity, and performance into different tools. If you are deciding whether to keep, shrink, or replace your yearly increase cycle, this conversation walks through the budget math, the risks of shifting dollars into bonuses, how to stay competitive for talent, and why adding job levels may solve more than tweaking percentages.

Chapters

08:36 – The argument that the yearly increase cycle satisfies no one
09:50 – What an annual increase is actually designed to fix
10:30 – Why raises are the wrong tool for rising benefit costs
11:23 – The human counterargument for manager discretion
12:29 – Cash, growth, and mission as competing motivators
14:18 – Does pay really not matter to some employees
17:00 – Why the budget number is the real breaking point
20:09 – Base salary as the worth of the job, bonuses for results
21:31 – Whether bonus dollars can be trusted to actually show up
23:33 – Building a budget from benchmarking instead of a flat percentage
28:30 – Competing for talent when base pay is capped
32:03 – Step progressions and job levels as an alternative
42:43 – The one thing worth fixing across HR

Travicka Keaton, Senior Manager of Compensation with Monogram Foods, walks through what it actually takes to build a job architecture inside a company that grew fast without one.

You will learn how long a real project takes, why salaried roles are usually sequenced before hourly and site-based roles, why manufacturing jobs are harder to level than software jobs, and how to keep executives informed without turning every week into a status meeting.

The conversation also covers a practical, low-tech approach to pay equity that uses performance, company tenure, general experience, and time in grade, and why that approach matched what an expensive third-party tool produced later.

If you are deciding whether to start a job architecture project, or trying to explain to leadership why it is not a pay increase exercise, this episode answers those questions directly.

Chapters

02:46 – Falling into compensation without planning to
09:56 – Why job architecture comes before everything else
10:48 – How long a real job architecture project takes
12:39 – Why manufacturing roles resist standard leveling
14:44 – Sequencing salaried roles ahead of hourly and site roles
17:17 – The actual problem a job architecture project solves
19:23 – Keeping executives informed without over-reporting
22:15 – Running the project in spreadsheets with AI help
25:56 – A practical framework for reviewing pay equity
28:25 – Why managers push back on equity decisions
35:39 – Why the pay conversation matters more than the number

This episode explains why the HR technology market feels chaotic right now and what that means for the people who buy and build it.

George LaRocque of WorkTech describes the market as an hourglass: established platforms at the top with time and options, AI-native newcomers at the bottom with speed and low overhead, and a crowded middle where most vendors are getting squeezed.

The conversation covers what actually protects a compensation technology company from being replaced by AI, why compliance stopped working as a sales message after the EU Pay Transparency Directive underdelivered, how buyers should assess whether a vendor will still exist in two years, and why a platform's track record integrating past acquisitions is becoming a real evaluation criterion.

Timestamps

01:38 – A career path from staffing practitioner to market analyst
03:37 – Why HR leaders need to track funding and M&A activity
12:07 – The hourglass model of the HR technology market
16:03 – Why the squeezed middle is where vendors are failing
18:24 – Whether compensation technology can ever be a platform
19:34 – How HCM platforms are absorbing compensation capabilities
22:32 – Why technology alone stopped being a competitive moat
27:20 – Compliance versus ROI as the real driver of purchases
30:30 – What happened when pay transparency rules lost their teeth
33:29 – How to assess whether a vendor will survive
37:22 – Consolidation, zombie vendors, and the next 18 months
43:52 – Why acquisition integration is becoming a buying criterion

This season-opening conversation covers what is shifting in compensation and total rewards heading into 2027, and what practitioners should watch.

Sean shares some exciting news and explains why a career move from building compensation software into association and community work made sense after three decades in the space, what professional communities need to do to actually deliver value to members, and why the methods that worked in comp for the last thirty years are unlikely to carry the next thirty.

Sean and Paul also preview the topics coming up this season, including the state of HR technology, whether merit pay still works, workforce analytics and modeling, EU pay transparency, moving between practitioner and consulting roles, and where AI realistically fits in comp planning.

Chapters
00:41 – Moving from building software into community work
02:45 – What members actually want from a professional association
03:53 – Changing careers after thirty years in one lane
06:10 – How a podcast survives a host's career change
08:19 – Finding unexpected common ground with a co-host
09:33 – What youth coaching teaches about team dynamics
12:14 – Setting goals based on what you can control
15:14 – Topics and themes coming this season
16:41 – The open debate over whether merit pay is dead
21:39 – Why the old compensation playbook is expiring
24:14 – Comp planning as the first real AI test

This episode explains why most compensation and HR teams are not getting real results from AI, and what to fix first. You will learn how to tell where your organization actually sits on the AI adoption curve, why inconsistent data fields like location and cost center quietly break AI analysis, how token-based pricing may change what HR software costs over the next few years, and what questions to ask a vendor before signing a multi-year deal. The conversation also covers how to choose a small set of data fields to clean instead of trying to fix everything, why a dashboard is not the same as an answer, and why data governance is becoming a job rather than a side task. Useful for compensation leaders, HR technology owners, and rewards teams of one who are being asked to do more with AI without a bigger budget.

Chapters

00:00 – Milestone episode and what keeps a weekly show running
06:00 – Rapid fire questions with the producer and the guest
12:30 – A career path from pre-med to compensation systems
17:00 – Where companies actually sit on the AI adoption curve
21:00 – Why AI hype still outpaces real capability
25:00 – AI mandates and measuring AI use in incentive plans
29:00 – How token pricing works and who absorbs the cost
34:00 – Why messy HR data blocks AI results
39:00 – Choosing which data fields to fix first
44:00 – Dashboards versus metrics that drive action