What is survey season?
Survey season is based upon the cyclical nature of how compensation data is collected and published from a third-party vendor. Each year in the spring, companies will fill out these surveys with employee compensation data and then in the fall, that data is release to its participants. Therefore, survey season refers to the period survey data is released to customers, which occurs in the Fall.
What Do your teams do?
Brian Martin is the Manager of HRIS Data Operations and he leads a team that loads internal HRIS data from PayScale customers into PayScale’s tools for market analysis. Tim Besgrove is the Sr. Manager of Data Operations and his team loads all surveys that customers have purchased into PayScale’s products for customer use. Although the teams do not work together often, data from both teams need to be loaded into PayScale’s tools for the product to be successful.
What does survey season look like for your teams?
Tim’s team is made up of data managers and quality assurance experts who are each responsible for a different group of survey publishers. They load data from surveys daily and the volume of the data increases drastically during survey season. The data needs to be processed, formatted, and loaded into PayScale’s tools so customers have the most up-to-date data available to them. In the spring, Tim’s team works more closely with clients to encourage them to participate in the surveys. In contrast, Brian’s team only sees a small increase in volume come Spring and Fall time. His team works with a high volume of compensation data from customers all year.
has the volume of compensation data changed?
There has been a massive spike in the amount of HRIS data coming in to be processed by Brian’s team. In fact, it has doubled in just the past year! However, the team has increased efficiency by 4x and improved the offerings to clients due to improvements to the tools they use, changes in automation, and implementation. In contrast, survey data has seen less of a spike in volume (about 10% year-over-year). Customers have increasingly complex compensation data needs but utilizing code has allowed Tim’s team to convert data before anyone has to touch it. Now data can automatically transfer, and clients are able to access survey results quicker.
How have your roles changed over the years?
For both teams, automation has changed and there has been a bigger emphasis on client facing interactions. Data used to be manually processed within Excel but now automation allows that process to be streamlined. Both teams also work more closely with clients solving problems and interacting with them directly.