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Matrix rating (per-row scales)

Matrix rating (MATRIX_RATING) lets participants score several items (rows) on one shared scale — like multiple rating questions in a single block, without defining column options for each row.

Find it under Tables & matrices in the content picker. Available in surveys, usability tests, and in-product studies.


Use matrix rating when…Use classic matrix instead when…
Each row is scored on the same 1–N scaleEach row picks from different column labels (e.g. Never / Sometimes / Often)
You want star, smiley, or numeric ratings per itemYou need a grid of choices, not a continuous scale

  • Rows — Statements or dimensions (e.g. Experience, Value, Support)
  • Format — Numeric, stars, or smileys (same controls as a single Rating question)
  • Scale — 3, 5, 7, or 10 points
  • Labels — Global start/end labels (e.g. Poor → Excellent), or row-specific bipolar labels per dimension

For each matrix rating question you can show:

ChartWhat it shows
Score gaugeOverall CSAT-style score (pooled across rows)
Average ratingMean score with star display
Overall distributionHistogram of all row ratings combined
Visual scaleBar breakdown of pooled ratings
Distribution by rowFull rating distribution per row
Semantic profileBipolar scales with mean position per row (+ radar when ≥2 rows)

Turn charts on or off and reorder them from the Chart type menu on the question card.

Cross-filter — In cross-filter mode, click scale points on the semantic profile or bars to filter other questions. Filters use row labels where available (e.g. Features: 5).

Custom dashboards — Converting from the default dashboard creates separate widgets per chart type. Use breakdown on a widget to compare segments (e.g. by device or country) in small multiples.

Export — CSV export includes overall and per-row means plus rating-level counts.


  • Keep rows readable (roughly 15 or fewer when possible)
  • Use row-specific labels when dimensions need different wording (e.g. “Slow” / “Fast” vs “Ugly” / “Beautiful”)
  • Pair with paste content with AI when your source text lists items clearly