Analyse Matrix Single Choice Question Responses

A Matrix Single Choice question allows respondents to answer several rows using one selectable option per row. In the Analysis section, Enquete helps you compare how each row performed across the available answer choices.

In the example shown, respondents were asked to rate their experience with different healthcare providers. This analysis helps you see how each provider was rated and which answer option was selected most often for each one.

Step 1: Switch between the available views

At the top right of the analysis panel, Enquete provides three views:

• Heatmap

• Grouped Bar

• Table

Use Heatmap to quickly see where responses are concentrated for each row.

Use Grouped Bar when you want a clearer visual comparison of answer counts across all rows.

Use Table when you want an exact breakdown of the results.

Each view shows the same data in a different format.

Step 2: Review the Heatmap view

The Heatmap shows the rows on one side and the answer choices across the top. Each cell shows how many respondents selected that answer for that row.

In this example:

• Nurse was rated Good most often

• Doctor was rated Poor most often

• Therapist was rated Excellent most often

This view helps you quickly compare response patterns across all rows without opening each one separately.

Step 3: Review the Most Popular Choices section

Below the heatmap, Enquete highlights the Most Popular Choices for each row.

In this example:

• Therapist – Excellent

• Doctor – Poor

• Nurse – Good

This section helps you identify the leading result for each row more quickly.

Step 4: Use the chart menu

At the top right of the chart area, the three-line menu icon allows you to download the current chart.

Depending on the available options, you can export it as:

• PNG

• CSV

• SVG

This is useful when you want to use the analysis in reports, presentations, or further review.

How to interprete matrix single choice results

To interpret Matrix Single Choice results, look at each row separately and identify which answer option was selected most often.

Then compare the rows against one another. This helps you understand whether experiences were more positive for some rows and weaker for others.

In this example:

• Nurse leans more positive because Good is the most selected answer

• Doctor appears weaker because Poor is the most selected answer

• Therapist shows the strongest result because Excellent leads that row

The heatmap is especially useful here because it helps you spot these differences quickly.

What to pay attention to

When analysing a Matrix Single Choice question, pay attention to:

• the most selected answer for each row

• whether responses are concentrated on one option or spread across several options

• which rows have more positive answer patterns

• which rows have more negative or mixed answer patterns

• whether the highlighted most popular choices match the heatmap pattern

This helps you understand both the top result for each row and the overall comparison across all rows.