
How to Set Salary Range Midpoints (Step by Step)
How to set salary range midpoints from market data, choose midpoint progression between grades, and decide when to move the structure. With a worked example.

How to set salary range midpoints from market data, choose midpoint progression between grades, and decide when to move the structure. With a worked example.

How skills-based pay actually works — the three workable models, what it costs, how it fits with job evaluation, and the infrastructure you need first.

How to define job families that hold up under scrutiny — grouping rules, the right number, sub-families, levels, and how families connect to pay ranges.

Build geographic pay zones that hold up. How to pick a control point, group markets into tiers, set differentials, and place remote employees defensibly.

Pay compression squeezes the gap between new hires and tenured staff. Here's how to measure it, price the fix, and stop it coming back next hiring cycle.

Red-circle rates sit above the range max, green-circle below the min. Here are the causes, the EEOC rules that apply, and four fixes that hold up under audit.

Range penetration shows where pay sits between the minimum and maximum. Get both formulas, the spread benchmarks by level, and when penetration beats compa-ratio.

Compa-ratio compares pay to the range midpoint. Get the formula, group calculations, target bands, and the midpoint problem that quietly breaks the metric.

Broadbanding collapses 15+ pay grades into 4-8 wide bands. Compare broadbanding vs traditional structures, with real numbers and a five-question test.

A step-by-step guide to compensable factor weighting — set percentage weights, convert them to points, build degree levels, and test for bias.

How to run salary benchmarking end to end — choose surveys, match jobs by content, age data, blend sources, and build ranges that hold up under scrutiny.

Market pricing and job evaluation answer different questions. Learn how to combine both so your pay is externally competitive and internally fair.