Five scoring models. One coherent engine.
Automated, networked, assessor, AI-interpretation, and calculated scoring all roll up through the same weighted hierarchy — mix them freely within a single assessment.
The five models
Pick one, or use several in the same framework — each question decides how it's scored.
Automated
Every choice, slider, ranking, matrix, NPS, and duration question scores itself the instant it's answered — option scores × weights, ranking by position, matrix cells summed. No spreadsheet, no export, no delay.
Networked
The same answers feed cross-cutting theme scores in parallel with the section structure. One question can quietly contribute to a competency, a risk area, and the overall score at once — see Segmentations for the full model.
Assessor
A manager, examiner, or reviewer enters a score directly against a question — for interviews, observed tasks, or portfolio review. Assessor scores roll up through the exact same weighted hierarchy as automated ones.
AI interpretation
Open text and file uploads are graded against your rubric by AI Interpret, returning a numeric score on a consistent scale so free-response answers roll up cleanly alongside every structured question type.
Calculated
A formula model for scores that are derived, not summed: weighted averages, ratios, sums, capped values, and scaled results built from other computed scores — section totals, segmentation scores, even other formulas.
Answer to overall, in five honest stages.
Every level normalizes against its own attainable maximum, so a heavily-weighted section never silently distorts the ones beside it.
Answer
Raw value scored the moment a question is answered — choice, slider, ranking, matrix cell, or an assessor/AI override.
Question weight
Each question carries a weight; higher-weight questions pull the sub-section average further.
Sub-section
Questions aggregate into a weighted-average sub-section score, normalized to that sub-section's attainable max.
Section
Sub-sections (and any directly-attached questions) combine by section weight into a section score.
Overall
Sections combine by their own weights into one overall score — the same normalized scale at every level.
Mix models inside one assessment.
The scoring model is set per question, not per assessment. A single framework can pair automated multiple-choice sections with an assessor-scored interview, AI-graded case-study answers, and a calculated executive summary — all rolling up into one weighted overall score.
- Run automated scoring for structured questions and assessor scoring for an in-person interview section in the same assessment.
- Layer AI interpretation on open-text questions so free responses roll up next to multiple-choice ones without manual grading.
- Add a calculated overall that blends section scores, a segmentation score, and a fixed benchmark constant into one custom formula.
Where scores go next
A computed score doesn't stop at a number. Every level of the roll-up can be:
- Fed into a calculated formula as a component
- Compared against a benchmark and shown on a report chart
- Resolved to a rating band with a color and feedback text
- Aggregated across a cohort or compared between iterations
Build your scoring model in minutes.
Start free — live in minutes, no card required.