Review Period:
Department:
Approving Manager:
Review Deadline:
Pre-Review Data Gathering
Extract a complete and accurate report of current base salaries, variable pay, and total compensation from your HRIS.
Gather the latest performance ratings and evaluations for each employee to inform merit-based salary adjustment decisions.
Source current compensation survey data to compare each role's pay against the relevant external labor market.
Examine how long each employee has been in their role and their salary progression over time to identify stagnation.
Flag employees whose current salary is near the minimum or maximum of their assigned pay range for special attention.
Analysis & Recommendations
Determine each employee's salary as a percentage of the pay range midpoint to assess positioning within the range.
Compare salaries of employees in similar roles to detect disparities based on tenure, performance, or demographic factors.
Cross-reference compensation data with performance and engagement scores to identify top talent at risk of leaving.
Propose specific increase amounts or percentages for each employee based on performance, market data, and equity analysis.
Rank recommended salary changes by urgency and impact to ensure the most critical adjustments are funded first.
Calculate the aggregate financial impact of all proposed salary increases to verify alignment with the approved budget.
Manager Calibration & Alignment
Organize sessions where managers discuss and align on salary recommendations to ensure consistency across teams and departments.
Distribute clear documentation on the review criteria, budget parameters, and timeline so managers can prepare effectively.
Evaluate proposed increases from each manager to identify outliers and ensure equitable treatment across the organization.
Facilitate discussions between managers and HR to reach consensus on salary changes where initial recommendations conflict.
Compile the agreed-upon salary changes into a final list that has received all necessary reviews and approvals.
Approval & Documentation
Present the finalized salary adjustment proposals to executive leadership for their review, questions, and formal approval.
Confirm with the finance department that all approved salary changes fall within the allocated compensation budget.
Record the specific business rationale behind every salary change to create an auditable trail for compliance purposes.
Prepare formal letters for each affected employee detailing their new salary, effective date, and any relevant context.
Store all salary review documentation, analyses, and approval records in a secure location for future audit reference.
Communication & Delivery
Coach managers on how to communicate salary decisions clearly, address questions, and handle potentially difficult reactions.
Coordinate meeting times for each manager to privately discuss salary changes with their individual team members.
Create scripted guidance for managers covering scenarios including significant increases, modest changes, and no-change situations.
Inform employees when their new salary will take effect and when they can expect to see the change reflected.
Designate a point of contact or feedback mechanism where employees can raise concerns or seek clarification privately.
Track and address any outstanding questions or escalations from employees within a defined timeframe after the review.
Post-Review Evaluation
Run a payroll audit to confirm that all salary adjustments were entered correctly and are reflected in the next pay cycle.
Survey employees to assess their perception of the salary review's fairness, transparency, and communication quality.
Monitor voluntary resignation rates in the months following the review to evaluate the impact of compensation decisions.
Document lessons learned and areas for improvement to streamline and enhance the salary review process going forward.
A salary review checklist is an outline consisting of several steps that will guide HR practitioners and management through the process of conducting a salary review for their staff members. The checklist includes activities on data collection, evaluation of performance, analysis of the labor market, and documentation of the decision-making process. It makes the salary review process objective and ensures that salary levels comply not only with the organizational budget but also with employees' requirements.
The absence of a systematic salary review process causes inconsistencies in decision-making, pay inequalities, and dissatisfied staff members. This checklist ensures that every employee undergoes a fair and comprehensive salary review process, irrespective of department or HR practitioner.
The checklist includes information relating to data gathering before review, performance measures, marketing data, and internal equity analysis. The checklist includes topics such as calibration sessions with managers, budget guidelines, and criteria used to make decisions. More topics cover the process of approvals and communicating with employees after a salary review.
Customize this checklist according to you when conducting salary reviews and how you approve them. Switch between two modes: brief and detailed. You can utilize the brief mode to quickly find useful information during salary review meetings. The detailed mode allows you to use this checklist throughout the entire process of conducting a salary review.
Adithyan RK is the Co-Founder and CEO of Hyring, an AI-native recruitment platform that has run over 900,000 AI interviews for companies ranging from early-stage startups to the Fortune 500. He has spent 18 years building technology businesses, starting with a digital consultancy in 2008 and a staff augmentation firm in 2017, before founding Hyring in 2022 to rebuild hiring around evidence instead of guesswork.
Expertise
Surya N is the Co-Founder and CTO of Hyring, where he architected the AI interviewing engine that has now conducted over 900,000 interviews for companies ranging from early-stage startups to the Fortune 500. A mechanical engineer who moved into artificial intelligence, he spent 6 years building AI applications inside a technology consultancy before co-founding Hyring, and wrote the first version of its AI interviewer from scratch: a system that listens, adapts its questioning in real time, and flags fraud rather than following a fixed script.
Expertise