EDUCATIONAL WEBINAR SERIES · 6 SESSIONS · 20 MINUTES

Your comp strategy is only as strong as the job data underneath it.

 
Pay equity, FLSA defense, skills-based pay, AI readiness. Every priority on your plate runs on job data most teams can’t fully trust.
 
This series unpacks the six problems that trace back to that foundation, plus the practical steps to fix it.

Built around your problem, with software-agnostic solutions.

Every session starts with a challenge you actually face and ends with a practical path forward. 

Leave with something you can use Monday. 

Every session ends with leadership-first steps you can take.

Short and conversational.

About 20 minutes, two experts, real workflows. Watch live or catch the on-demand recording.

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Win a Solo Stove Mesa XL


We’re giving away a Solo Stove Mesa XL smokeless tabletop fire pit at every session in the series. Register, join us live, and you’re automatically entered to win that session’s fire pit. Six sessions, six chances to win.

One winner per session, drawn from live attendees and notified by email. No purchase necessary. US residents 18+. Void where prohibited. JDXpert reserves the right to modify, suspend, or cancel the giveaway and to verify winner eligibility at its discretion.

The 6 Sessions, Led by Industry Experts

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If any of these sound like your week, this series is for you:

  • You run pay equity analysis on job data you don’t fully trust.
  • You can’t always prove what a job said when a pay decision was made.
  • Leadership is asking about skills-based pay, and you’re not sure where the skills data lives.
  • Every AI tool on your radar needs clean job data you don’t have yet.

Sessions run every Thursday at 12pm ET from August 13 - September 17, 2026. 

Each session gives away its own Solo Stove Mesa XL fire pit, drawn from that session’s live attendees.

01  ·  SESSION ONE

Comp's Biggest Blind Spot: The Foundation Under Your Pay Strategy

When your team runs a pay equity analysis next quarter, where does the job data come from, and do you trust it?

Most comp programs run on job data no one owns and no one has cleaned up. This session maps the root causes, quantifies the cost, and gives you a framework for auditing your current state and building the business case for fixing it.


You'll leave with: A two-part audit framework (ownership plus data cleanup) and the cost model to take to your CFO.

Paul SmithJosh Arringdale

With Paul Smith + Josh Arringdale · Aug 13 @ Noon ET

02  ·  SESSION TWO

The Pay Equity Problem Hiding in Your Job Data

“Why are they paid more than me? We have the same title." You've answered that email. Maybe this week.

Pay equity analysis is only as reliable as the job classifications underneath it. This session walks through how silent role evolution creates invisible equity exposure, and what a governed job architecture makes possible before a complaint or audit surfaces it.


You'll leave with: How to find your five highest-risk job families and document classifications for defensibility.

Paul SmithDerrick Edmiston

With Paul Smith + Derrick Edmiston · Aug 20 @ Noon ET

03  ·  SESSION THREE

When the Auditor Asks, Can You Prove It?

Pay transparency laws and FLSA audits don't just ask what a job says today. They ask what it said when the decision was made, who approved it, and what changed.

For most comp teams, that proof doesn't exist. This session shows what a defensible change trail looks like and gives practical steps to start building one, without waiting on a system.


You'll leave with: A working change-log and two-step approval protocol you can stand up immediately.

Paul SmithJosh Arringdale

With Paul Smith + Josh Arringdale · Aug 27 @ Noon ET

04  ·  SESSION FOUR

AI Won't Fix Your Comp Data Problem. It Will Multiply It

Every AI-powered comp tool runs on the job data you already have. AI doesn't fix bad data. It scales it.

This session breaks down the three prerequisites for AI to actually work in comp, and shows how a governed foundation makes AI outputs consistent and source-anchored rather than confidently wrong.


You'll leave with: A three-question AI readiness audit to run before you buy any AI comp tool.

Paul SmithAJ Naddell

With Paul Smith + AJ Naddell · Sept 3 @ Noon ET

05  ·  SESSION FIVE

You Don't Know What Your Skills Are Worth Because You Don't Know What Skills You Have

Skills-based pay moved from roadmap item to executive ask. But if you launched it tomorrow, where would the skills come from?

This session connects the architecture gap (levels and bands disconnected from documented skill requirements) to the market pricing gap, where skills premiums can't be validated or captured.


You'll leave with: A single-family pilot that fixes skills pricing and surfaces comp exposure at the same time.

Paul SmithMelissa Duncan

With Paul Smith + Melissa Duncan · Sept 10 @ Noon ET

06  ·  SESSION SIX

The Comp Leader's Case for Fixing Job Data

Every problem in this series traces back to one root cause: job data that isn't managed as the strategic asset it is.

The capstone builds the full ROI picture and gives you the executive framing to make the internal case, tying job data governance to the priority leadership is already losing sleep over.


You'll leave with: A four-part internal business case for CFO, CHRO, and General Counsel.

Paul SmithJake Kopycinski

With Paul Smith + Jake Kopycinski · Sept 17 @ Noon ET

Registration Form

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Register once and choose any or all six sessions. We’ll send the calendar holds, the live links, and the on-demand recordings for the ones you pick.

Join live and you’re entered to win that session’s Solo Stove fire pit.