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Web browser (OS agnostic)What is Willis Towers Watson Compensation Software?
Willis Towers Watson Compensation Software is a cloud-based solution designed for large businesses. The solution helps users design and manage their employee compensation structure based on performance and market benchmarks. Key features include compensation management, job-leveling and compensation reporting and analytics.
Willis Towers Watson Compensation Software helps users design customized compensation program by taking into account market pay data, salary structures, survey data and global grading information.
The solution also helps users automate pay planning, data collection, storage and management processes. The compensation management functionality of the solution helps users implement a pay-for-performance co...
2 Reviews of Willis Towers Watson Compensation Software
Overall rating
3 / 5 stars
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June 2018
John from JPM
Time Used: Less than 2 years
Review Source: Capterra
Ease-of-use
5.0
Value for money
5.0
Customer support
5.0
Functionality
5.0
June 2018
Simple to start with question and navigate to the appropriate results.
Pros
Ability to request custom peer groups completely within the tool. Leveling is made simple. Backed up by the experts in compensation across all industries.
Cons
Total spend analysis still a work in progress. There are a lot of features that I would like to have now but are not yet implemented.
December 2018
Lissa from One Stop Stores Ltd
Company Size: 10,000+ employees
Industry: Retail
Time Used: Less than 6 months
Review Source
Ease-of-use
1.0
Functionality
1.0
December 2018
Where has the simplicity gone?
The previous system was simple and intuitive - that has gone. It feels as though the complexity has increased resulting in a need for fee based consultancy time to train and explain.
Pros
Knowing the quality of WTW data, I know that behind the functionality the information will be great.
Cons
Overly complicated. Not intuitive at all. Time consuming to review the data even if you know what you are looking for.