Week 21 · 2025 · Post
Nobody plans to become a compensation professional
Nobody plans to become a compensation professional. It's something that happens to you, like getting caught in the rain or developing strong opinions about Excel formulas (the look of horror when seeing VLOOKUP instead of XLOOKUP in 2025... 😱).
This is a try to reflect on my 15-year journey through the strange parallel universe of Total Rewards. Not a how-to guide—more like field notes from someone who wandered into this world and somehow never found the exit.
After years of reading sanitized case studies and polished best practices, I realized what's missing from most compensation discussions: the messy reality. The contradictions. The moments when your perfectly designed system meets human psychology and organizational politics - and loses spectacularly.
Maybe it's time to talk about what compensation work actually looks like, not what we pretend it looks like in conference presentations.
If we were to plot my compensation expertise over time, it wouldn't be a nice learning curve. It would look more like a heartbeat monitor during a horror movie - wild spikes of confidence followed by devastating crashes of reality.
In the beginning, compensation seemed wonderfully mathematical. The premise was simple: gather market data, design structures, apply policies consistently. My early career was filled with beautiful color-coded spreadsheets calculating market positions to the second decimal place.
I even had special formatting rules for cells exceeding range maximums: bold red with yellow highlight. Because nothing says "this is a problem" quite like making your spreadsheet look like a fast-food advertisement.
Little did I know, I was about to learn that perfect compensation systems are like unicorns - widely discussed, never actually seen in the wild.
Does building Rewards frameworks get easy over time? Not really. But it does get easier as you accept that imperfections of human nature, and that person can adapt and abuse any perfection of a system.
There's an oddly satisfying challenge in creating just enough structure to keep things from falling apart, while leaving just enough flexibility to deal with reality.