This article is in reference to the employee history popout that contains compensation change events and the compensation timeline chart. It can be accessed for a particular employee by clicking their cell in the Employee column of the Planner table.
All events that are displayed here come from the integration data. For this page to work to its full potential, we need historical data coming through the integration.
This page contains 2 parts:
- The event timeline that shows every compensation change this employee has had that Pave pulls from the HRIS and cap table integrations.
- Note: this does not show promotion events
- Below that, the compensation timeline chart shows all compensation together for total annual compensation on a yearly basis.
- The toggles for each compensation type can be turned on and off to include or exclude that compensation type segment from the bar chart.
The compensation timeline chart can be particularly helpful in seeing when someone’s total compensation starts to fall because their grants start fully vesting. This is usually an indicator that to retain the employee, you might want to give them a new equity grant.
Note: the compensation timeline chart does not include salary raises or equity grants given during the cycle, it is a static representation of their compensation to date.
Notable Edge Case
- When someone does not have historical data for a specific compensation type (e.g. salary or variable pay), that pay type is excluded from the compensation timeline chart. This is to avoid seeing significant jumps in total compensation that appear purely because the integration didn’t store historical data, and the current iteration of that person’s pay is dated from the year in which the pay type is included.
- Specifically, this situation arises when there is exactly one instance of the pay type in the employee’s pay history AND the date of that item is after the employee’s start date.
Note: the graph may still show in full for some employees - this is because those employees have the same start date as the date for their salary, so we haven’t actually “lost” any salary data for them, and still show it for the graph.