CompBldr uses the JESAP® 15-factor methodology to score roles objectively, with full version history, AI calibration, and defensible grade structures that hold up under audit.
For Compensation teams who need grade decisions that hold up under pay equity audits, board reviews, and regulatory scrutiny.

of HR leaders say their current job evaluation process lacks consistency across departments
higher pay equity audit risk when grade placement is based on manager judgment rather than methodology
of pay equity disputes trace back to inconsistent or undocumented job evaluation
JESAP® is CompBldr's proprietary 15-factor methodology, built specifically for defensibility. Built in 1990s and continuously refined to address the needs of evolving market and job conditions.
Each factor's description and degree definitions displayed in the same panel where you select a degree. Running score and proposed grade update automatically across all 15 factors.
All 15 factors in one scrollable overlay. Degree buttons inline. Score a full position in minutes without switching screens. Perfect for clearing a backlog of 50+ roles.
Every saved evaluation becomes a numbered version with full factor scores, evaluator name, and timestamp. Side-by-side color-coded diffs show scoring changes instantly.
CompBldr Intelligence generates an algorithm-based evaluation after 2+ manual evaluations. Appears alongside human versions as a calibration check, surfaces systematic bias without overriding judgment.
Here's what the evaluation workflow looks like inside CompBldr, from first factor score to final grade assignment.
The JESAP Studio presents all 15 evaluation factors with their full definitions and level descriptors visible during scoring. Evaluators never guess what a score means the methodology is always in view.

Every version of JESAP evaluation is captured and is stored with details like name, date and scores and total points and resulting grade.

Quick Evaluation Mode surfaces all 15 JESAP factors in one scrollable overlay with degree selection buttons inline. The full evaluation is completed in minutes, no tab-switching, no separate documentation, no manual grade calculation.

After two or more manual evaluations are saved for a role, CompBldr Intelligence generates an algorithm-based evaluation using the same 15 JESAP factors. It appears alongside human versions as a calibration check not a replacement. Where AI and human scores diverge significantly, the system flags it for review.

Four factor groups covering everything a job requires, impacts, and demands.
The evaluator selects a factor from the left panel. The right panel loads the factor description, quick-select degree buttons (0 through 14), and degree definitions for every available level. Clicking a degree button selects it, highlights the corresponding definition, and updates the running JESAP score and proposed grade automatically.

Quick Evaluation Mode is a slide-in overlay panel that shows all 15 JESAP factors in one scrollable view, organized by category. Degree buttons are inline per factor. An Inspector at the bottom loads the active factor's description and degree context as the evaluator taps through the list. A full evaluation can be completed without switching screens.

Grading & Versions displays every saved evaluation for a position as a numbered version column in a side-by-side grid. Factor scores fill the rows with blue-intensity shading, darker cells mean higher degrees. The Current badge marks the active version. Any version can be switched to active, archived, or used as the basis for a new evaluation.

Blue-intensity shading reflects the degree selected for each factor in each version. Darker blue means a higher degree score. Pale blue means a lower degree. An empty cell with a dash means the factor was not scored in that version. Reading a row left to right shows how the same factor was scored across all evaluations without manual comparison.

CompBldr Intelligence generates an algorithm-based evaluation version after two or more manual evaluations exist for a position. The AI version appears as a new column in the Grading & Versions grid alongside human versions. It functions as a calibration check, evaluators can compare the AI's degree selections against their own without it replacing their judgment.

Job Grade defines the score bands that translate JESAP totals into grade assignments. Each grade has a minimum and maximum score. When an evaluator selects degrees in JESAP Studio, the running JESAP score is measured against the active Job Grade structure, and the Proposed Grade in the header updates automatically. Auto-linked ranges prevent gaps between grades.

Auto-linked score ranges ensure that grade bands connect without gaps or overlaps. When a grade's maximum score is changed, the system automatically adjusts the minimum score of the next grade. This keeps the grade structure continuous and prevents scoring gaps between grades.

Yes. Every grade structure change creates a new version, not an overwrite. The prior structure moves to the History view with its version number, score range, source, evaluator, and timestamp preserved. Any historical version can be restored as the active structure. When a prior version is restored, the current structure moves to History.

Source: Manual means the grade score boundaries were entered by a compensation analyst.
Source: Algorithm means the system generated grade boundaries from the statistical distribution of JESAP scores across all evaluated positions.

JESAP scores flow into Job Architecture and Market Benchmarking. Grade changes propagate automatically.
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