Heatmaps, for patterns across two axes.
Cross sections against segments, or respondents against questions, and let color intensity surface the pattern a table would hide.
Sixteen scores, one glance.
Four audit sections crossed against four departments. Color does the talking: People's culture cell and Ops' risk cell burn darkest, Sales' risk sits palest — a pattern you catch before reading a digit. The numbers stay printed in-cell for the moments precision matters.
Click any cell in a live report to open the responses behind it — the exact slice of the population that produced that score.
Reach for heatmap when there are two axes.
Every other chart on this page compares one axis of categories. A heatmap is the one built for two — Ascent's Heatmap component takes a matrix of rows, columns, and cell values, which maps directly onto cross-cutting questions like "how did each segment score on each section" or the native shape of a matrix question type.
Sections by segment
Cross a scoring model's sections or themes against a classifier — department, region, tenure band — to spot patterns no single chart of either axis alone would reveal.
Matrix question review
A matrix-grid question type naturally produces a two-axis dataset — rows of statements against columns of scale points — that a heatmap displays exactly as it was answered.
Respondents by question
For smaller cohorts, plot every respondent against every question to spot outliers, patterns of disengagement, or questions that split opinion.
Dense data, still legible.
A heatmap can carry far more categories than a bar or radar chart before it stops making sense.
Two categorical axes, one value
Ascent's Heatmap component takes explicit row and column labels plus a list of cells, each carrying a numeric value — no forced grid shape, so sparse matrices render cleanly.
Color intensity carries the signal
Cell color encodes value on a continuous scale, so patterns — a whole row trending low, a single column standing out — are visible before you read a single number.
Values in-cell, drilldown per cell
Optionally print the numeric value inside each cell for precision alongside the color read, and wire a click on any cell to open the underlying responses.
Cohorts give the second axis its meaning.
A heatmap is only as useful as its second axis, and Ascent's cohort grouping — by team, department, or any classifier field — is what usually fills it. ESG and compliance programs lean on this to cross framework dimensions against business units in a single view.
Find the pattern hiding in the matrix.
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