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Results will be analyzed to identify broad trends across the organization.

See Issue Journal of Total Rewards Q2 2024 Studies of a variety of topic rewards topics, from AI and pay transparency to career advancement to analyzing a pay gap.

Once this data is collected, AI can get to work: Analyzing and extracting insights from seller sentiment data to gauge motivators and deterrents.

The report analyzed national benefits data from 19 million participants across the 2025 plan year.

.; By analyzing daily seller behaviors, AI also can surface highly reliable leading indicators (e.g., buyer engagement depth, response times, executive-level stakeholder coverage within an account) to accurately predict future revenue.

For example, Collinson urges employers to consider conducting an employee survey with the ability to analyze results by generation and/or age range.

The assessment should seek to: Clarify the corporate growth strategy driving revenue goals;Compare plans to sales compensation leading practices for each unique job;Analyze the connectivity between seller performance and earnings;Identify key opportunities for program improvement.; This assessment phase will likely help companies gain deeper insight into sales compensation plans and the associated program costs.

As always, solicit feedback directly from your own workforce — regularly gather insights from your employees and analyze data on the usage of existing offerings, Spencer said.

Here’s How to Leverage It for TR , Workspan Daily Plus+ article;How Qualitative and Quantitative Data Can Influence Benefits Design , Workspan Daily Plus+ article;Strategic HR Analytics: Driving Business Performance , Journal of Total Rewards article;People Analytics Study , research; The goal of nudge technology in the workplace is to subtly influence the behaviors of employees by analyzing their personal data and nudging them in a direction that, ideally, is in their best interests but often also in the employer’s best interests.

Typical hiring category use cases include: ;Resume reviews (utilized by 79% of respondents); ;Candidate rejections (74%); ;Candidate assessments (66%); ;Researching applicants (63%); ;Candidate communication (41%); ;Onboarding (39%); ;Interviews, such as scheduling, transcribing, conducting, analyzing language or assessing tone (34%); Staffing and professional services agency Insight Global’s 2025 AI in Hiring Report also found near-ubiquitous AI use in hiring, with other AI-assisted hiring tasks ranging from establishing talent strategy to checking references and completing new hire paperwork.