Pave vs. PayScale Payfactors

Pave seems to work really well in the technology/software industry. Not sure about others, but seems limited, depending on what roles/jobs you are looking at. Data can be pretty limited, especially when you get more granular and look at levels versus prefixes (junior, senior, etc.). Highly recommended as one of at least a few data sources for compensation, depending on industry

Incentivized

With their multiple compensation databases and the ability to quickly navigate and explore market matches, I can trust that the data is accurate and up-to-date and that I can confidently stand behind my recommendations after doing my in-the-box Payfactors work. PayScale is a company that continues to grow and develop by leaps and bounds , so getting onboard with them now is still essentially the ground floor of something incredible.

Incentivized

• Easy to use
• Free version (if you sync your HR system) still valuable
• Company-sourced versus employee
• Well defined levels and scope for roles
• Always adding more countries and data

Incentivized

• Real-time market data for the most up-to-date pay bands and ranges
• Robust internal organizational tools to manage multiple projects and collections of roles
• Quick Price tool can get a comprehensive compensation pick for a role within seconds.
• Internal help documents, message board communities, and live help agents are there if you need them

Incentivized

• Need more data, especially for more niche roles
• Need more roles represented
• Need more industries covered

Incentivized

• I am not seeing an easy way to produce or export compensation summaries for multiple roles at once. I have to pull up multiple at once.
• The ERD and HRMA reports are in totally different formats and they don't have the same parameters to fine-tune matches.
• To be honest, I look forward to exploring more built-in features in 2024. It is a great program!

Incentivized

We have used or currently still use the others I listed. Others not found in TrustRadius include Ravio, Salary.com, and Figures.hr.

It is best practice in HR to use more than one source for compensation data and aggregate them together, which is what I do with Pave alongside other systems. I do consider Pave to be a better option compared to others, but I think the more compensation data you can get your hands on, the better.

Incentivized

I continue to use both CompAnalyst and Payfactors simultaneously and they both have many pros and few cons. PayScale seems to have more advanced capabilities and has more robust user-provided tweaking and cutting-edge features. The access to multiple databases is also a major benefit. While the look and feel of Payfactors seems more "21st century" than CompAnalyst, I have to say that CompAnalyst has some very intuitive features, like the ability to select many matches, add them to a list, and then export the lot of them in a single Excel file, that I do enjoy and that I don't believe Payfactors can match. That would be one drawback, however this doesn't really affect the end results, which are incredible, it just changes the path to get there a little bit.

Incentivized

• Reduced time to find reliable compensation data
• Improved accuracy versus using other sources that are more crowdsourced
• More informed decisions around compensation and how we decide on what base salaries to offer

Incentivized

• Increased capacity to provide accurate and robust compensation analyses
• Ability to compare and contrast compensation schema between Payfactors and other databases.
• Access to an enormous database of help documents and lux pdfs regarding pay philosophies, compensation concepts, market developments, etc. Educational resources are phenomenal.

Incentivized