Most small business owners set salaries based on two things: what the candidate asked for and what feels reasonable. Neither is a reliable signal. The candidate may have anchored on a number that bears no relationship to the market. What feels reasonable is usually shaped by what you paid before, which may also bear no relationship to the market.
The result is a salary that is either too low to attract the right candidate or too high relative to what the market requires. Both are expensive: the first costs you the hire, the second costs you the margin.
A market-grounded salary decision is not complicated. It requires three inputs: what comparable roles pay, what the business can sustain, and what this role’s specific requirements justify above or below the midpoint.
Kiluma holds the compensation records and market research your business has accumulated. It does not run payroll, administer benefits, or file payroll taxes; those are handled by your payroll or HRIS system (Gusto, Rippling, BambooHR, and similar). For compensation decisions that touch on required minimums, classification, or tax treatment, consult a qualified accountant or employment professional. Kiluma is where the research and the decision rationale live.
What Benefits Small Businesses Can Actually Offer — and How to Talk About Them in Hiring covers the total compensation picture. This article covers the salary component specifically.
Why Salary Decisions Get Made by Feel
The obvious reason: there is no compensation team, no benchmarking process, and no time to build one. You need to fill the role. You take the candidate’s number, add context about what you’ve paid for similar roles, and make a decision.
The less visible cost is what this produces over time. A team where salaries were set by feel rather than by market will have significant pay inequities that the team will eventually discover. The person hired when the market was competitive earns more than the one hired when you negotiated harder in a tight market. Neither difference reflects the actual value of the roles.
The deepest problem is that salaries set by feel become locked. When a team member asks for a raise, the conversation starts from a number that was never justified by any analysis. Neither the owner nor the team member knows whether the current salary is above or below market. The negotiation is about feelings and history rather than what the role is worth.
A market-grounded approach makes the number defensible.
The Market-Grounded Salary Method
The method has three components. Each one adds one piece of the calculation that gut feel lacks.
Component 1 establishes the market range for this role
Where does comparable work pay in your market? The sources are imperfect but available: salary data from Glassdoor or LinkedIn, industry association surveys, similar job postings, and network knowledge.
Pick two or three data points rather than one. A single data point is a guess with a source. Multiple data points create a range that the decision can be grounded in.
The market range gives you a floor and a ceiling. Most small businesses should target the midpoint or slightly below, unless the role is hard to fill or the candidate has uncommon experience.
Component 2 applies the role requirements to the market range
Where in the market range does this specific role fall? The market range represents the full distribution of comparable roles. This specific role may warrant a position above or below the midpoint.
Three factors push the number up: required experience that is hard to find, responsibilities that exceed what the typical role includes, and urgency to fill. Three factors push it down: more flexibility in the timeline, a narrower scope, or meaningful non-salary compensation that the market doesn’t typically offer.
Be explicit about which factors apply. Writing them down takes two minutes and produces a rationale that can be shared with the candidate.
Component 3 checks the number against what the business can sustain
The market range and the role requirements produce a target number. Component 3 checks that number against the business’s actual capacity.
The check is simple: can the business sustain this salary at the current revenue run rate without creating a cash constraint? If yes, proceed. If no, either the role scope needs to change, the timing of the hire needs to change, or the business needs to be honest about what it can offer rather than making an offer it can’t sustain.
A salary that the business cannot sustain is a problem waiting to emerge. Address it before the offer, not after the hire.
How the Conductor Maps Your Salary Decision
The role opens. The job description is written. What should the salary be?
The Living Library is the part of the Kiluma platform that holds the business’s compensation knowledge: prior salary decisions, market research, and conversation notes. The Conductor, Kiluma’s context-aware AI, reads from the Compensation Collection to help make the current salary decision grounded in the business’s actual record.
Ask it: “Based on our compensation records and any market data we’ve saved, what’s a market-grounded salary range for this role?” It reads the compensation records and returns a range: prior comparable hires, available market data, and where this role falls within it.
That starting point is not the final answer. The owner decides. But a decision that starts from accumulated market knowledge is more defensible than one that starts from a feeling.
Research Three Comparable Roles Before the Next Hire
Before the next role opens, spend thirty minutes researching what comparable work pays in your market. Save two or three data points to the Compensation Collection in the Living Library.
That research doesn’t expire immediately. Market data saved from six months ago is still directionally useful, and the Library accumulates data across every hire so the picture improves over time.
The investment is thirty minutes per hire. The return is a number you can explain.
The Number You Can Explain
A salary set by feel can’t be defended at raise time, at hiring time, or when a team member finds a pay gap. The Market-Grounded Salary Method makes the number explainable. The Conductor surfaces the market data to start from. Try Kiluma free for 14 days at kiluma.ai.