The most innovative comp teams are powered by Pave.

For years, we were looking for more than just another compensation system. We wanted a platform that could bring our compensation philosophy to life and help shift how managers and employees think about total compensation. With Pave, we found both a product that matches the way we want to work—fast, innovative, and constantly evolving—and a team that feels like a true partner.

As nontechnical users, we can directly configure so many different aspects of our compensation cycles and the design of the Total Rewards portal and other features.

We weren’t sure Workday had the functionality and flexibility to begin with, but it certainly wasn’t something we could stand up between March and the start of the annual salary review in June.

Before Pave, configuring a cycle took about two months, relying on cross-functional support. Now with Pave, I can do it in a week. If something needs to be adjusted mid-process, I can update it in real-time. The speed is completely different.

It has been night and day from building pay bands year over year. I usually spend a month on this—with Market Pricing I did it in two days.

We received overwhelmingly positive feedback on Pave from our people managers in the ‘what went well’ section of our compensation cycle survey. Managers consistently highlight how intuitive and easy it is to use. It simplifies the process and supports strong, informed compensation recommendations. We even had managers describing it as a ‘rave for Pave.’ Pave has been a major success story for our team and continues to make a meaningful impact on how we run compensation.

Pave has helped us bring more transparency to compensation. The Total Rewards statements make it easier for candidates and employees to understand the full value of working here, while giving leaders better tools to make confident compensation decisions.

The real-time nature of Pave’s Market Data tool, in addition to the relevancy our selected data cut, instills deep trust from Clio’s leadership team.

Pave gives us access to real-time market data, enabling managers to have candid, constructive conversations with employees about pay.

I appreciate Pave’s real-time insights, along with the capability to easily filter for relevant peer data to ensure our team stays informed and agile.

Data [from traditional survey providers] isn’t that strong anymore. Pave has real-time updates, and more and more, all the companies I care about submit to Pave.

I really appreciate, and increasingly rely on, Pave’s real-time compensation insights. In particular, the ability to easily filter for relevant peer datasets ensures our team always stays informed and can remain agile. In my opinion, real-time data pulled directly from HR systems is the new model for keeping track of an always dynamic talent market.

Pave has streamlined our entire compensation process, enabling us to enhance transparency, drive employee engagement, and improve retention. With Pave’s data-driven approach, we’ve been able to make more strategic decisions around compensation, which has had a direct impact on our company's growth and ability to retain top talent.

The real-time nature of Pave’s Market Data tool, in addition to the relevancy our selected data cut, instills deep trust from Clio’s leadership team. Knowing that companies in Pave’s dataset are similar in size, structure, and industry to Clio is a big win for the team. Our leadership has a ton of confidence in the tool, which is great and helps us move faster.

Ultimately, what Market Pricing from Pave enabled me to do is free up seven weeks of time to focus on pre-planning with business partners, leaders, and managers. Once the cycle started, I had very few managers take me up on office hours. There was so much done ahead of time, I was able to have key consultations finished two months earlier.

Pave's Compensation Planning module has been most helpful for us. When all the elements tie together and it’s set up properly, particularly permissioning, the ability to ensure the right people can see the right things is fantastic. It’s a much, much better process than anything we could do with spreadsheets—and we did try (it was not pretty).