
A pictogram can turn an abstract number into something readers recognize immediately: people, homes, completed tasks, or available seats. Used carefully, repeated icons make a small dataset approachable and give a report a clear visual focus.
But pictograms also create opportunities for confusion. An oversized symbol can exaggerate a difference. A missing legend can leave readers guessing. A grid of tiny icons can make a simple comparison feel like a counting exercise.
For product teams, the question is whether the visualization helps someone understand a situation and decide what to do next. This guide explains how to choose icons, set meaningful units, compare quantities, and apply pictograms in SaaS dashboards and business reports.
What is a pictogram?
A pictogram, also called a pictograph or pictogram chart, represents quantities using repeated icons. Each icon represents a defined number of units, and the number of icons shows the value.
For example, if one person icon represents ten customers, six icons represent sixty customers. The legend establishes the relationship between the symbol and the underlying data.
Pictograms commonly use rows or grids. Some compare separate categories; others highlight part of a fixed total, such as eight filled symbols out of ten. These formats answer different questions. A category comparison shows how quantities differ, while a part-to-whole display shows how much of a total belongs to a particular group.
The symbols do not need to be literal illustrations. People icons can suit population data, but circles or squares may be clearer when no familiar symbol fits the subject.
When to use a pictogram chart
Pictograms work best when the message is simple, the number of categories is limited, and readers need an accessible overview.
Consider these illustrative uses:
A customer survey summary showing that eight out of ten respondents found a feature useful.
A training report showing how many employees completed a course.
A subscription overview showing occupied and available seats.
An impact report comparing the number of households served by different programs.
A pictogram can give a prominent statistic a memorable form. It also connects quantities to familiar subjects, which can help people with different levels of data literacy.
That does not make icons universally understandable. A symbol that feels obvious to one audience may be unfamiliar to another. Pair icons with plain-language category labels and confirm that the intended readers understand them.
Within a SaaS product, a pictogram is often most useful as a summary. Users investigating the underlying records may also need a table, filters, or a more precise chart.
Pictograms versus other chart types
Choose the chart according to the comparison people need to make.
Reader’s task | Useful starting point | Reason |
|---|---|---|
Understand a simple count or memorable proportion | Pictogram | Repeated symbols connect quantities to a recognizable subject |
Compare similar values across categories | Bar chart | A common baseline makes small differences easier to inspect |
Follow a metric over time | Line chart | Position along a time axis reveals change |
Look up exact values across several fields | Table | Explicit numbers support detailed comparison |
See progress toward a target in limited space | Progress bar | A compact display shows completion against a defined total |
For example, values of 80, 160, and 240 can translate neatly into four, eight, and twelve icons when each icon represents twenty units. Values of 147, 151, and 154 create a less useful pictogram because the important differences are small.
Our guide to horizontal bar charts explores another way to compare categories. Choose the format that makes the relevant difference easiest to see.
Choose icons that support the data
Use whole icons whenever possible to keep pictograms clear and easy to understand at a glance. Partial icons can make values harder to interpret.
Squares are an exception: their simple geometry makes proportions easier to recognize, even when only a narrow section represents part of a unit.

Partially cut-off icons of people or airplanes can be difficult to recognize and visually unsettling.

Keep icons simple
Pictograms can be more visually engaging than bar charts, but they are less effective for comparing large datasets. They work best with a small number of straightforward data series.
Choose icons for clarity, not decoration. An eye-catching illustration does not always make an effective data symbol. Too much detail makes comparisons harder, and repeating intricate icons creates visual clutter that distracts from the information.

Keep symbols consistent
Use the same icon style across the categories you’re comparing. Variations in shape or detail can distract readers and make values harder to compare. Consistent symbols keep attention on the data rather than the illustrations.

Choose clear, simple icons
Pictograms use repeated symbols to communicate quantities at a glance. They work well for simple comparisons, but bar charts are easier to use for larger datasets and more complex data series.
Keep pictogram icons simple and recognizable. Clean shapes remain easy to read when repeated, creating an appealing visual that helps readers understand the data quickly.

One icon, different shades
Use a consistent icon with different shades to distinguish categories. Keeping the shape uniform helps readers compare values without being distracted by changes in icon design.

A good pictogram icon should:
Have a simple, recognizable shape.
Be symmetrical.
Stay clear and legible at small sizes.
Fit comfortably within a roughly square space.

Comparing similar values
Avoid pictograms when values are close together. Repeated icons can make small differences hard to spot, so a bar chart is often clearer for precise comparisons.

Keep icon sizes consistent
Avoid changing an icon’s height or area to represent different values. Irregular shapes make size comparisons difficult, and stretching them can distort both their appearance and the data's meaning. Use uniform icons and vary their number to show quantities clearly.

Use whole icons and intuitive units
Choose a scale that keeps icons whole and values easy to interpret. If most values require partial symbols, use a bar chart for clearer comparisons.

Compare quantities with repeated icons
A pictogram works much like a bar chart, using rows of repeated symbols to represent values. Each icon stands for a fixed quantity, making differences between categories visible at a glance.
A well-designed pictogram combines visual appeal with clear, quick comparisons.

Choose intuitive counting units
Set the value of each icon so that most quantities can be shown with whole symbols. Use familiar increments, such as 1, 2, 5, 10, 50, or 100, to make the data easy to read and compare.

Label each value clearly so readers don’t have to count the icons. Arrange symbols in groups of five or ten to make quantities easier to scan and compare.

A practical pictogram example for SaaS reporting
Suppose a training platform needs to summarize course completion across three teams. The following figures are illustrative.
Team | Employees assigned | Employees completed | Completion rate |
|---|---|---|---|
Customer Success | 100 | 80 | 80% |
Sales | 100 | 60 | 60% |
Operations | 100 | 40 | 40% |
Represent each team with ten identical person icons, with each icon standing for ten employees. Fill eight icons for Customer Success, six for Sales, and four for Operations. Retain the remaining symbols in a clearly distinguishable neutral treatment.
Place an explicit count and percentage beside each row. This produces a simple view of completion while keeping the exact values available.
Now change the scenario: suppose the teams have different numbers of assigned employees. Ten symbols per team could still represent 100 percent, but each icon would now stand for ten percentage points rather than a fixed number of people. Label that change clearly and show each team’s denominator.
A product team should decide which question matters: “Which team has completed the highest percentage?” or “How many employees still need training?” Those questions may require different charts.
Make pictograms accessible
An icon-based chart needs a useful text equivalent. A short description can state the main comparison; a nearby table or longer description can provide the complete values and context.
For the training example, a summary could read: “Training completion is 80 percent in Customer Success, 60 percent in Sales, and 40 percent in Operations. Each team has 100 assigned employees.”
The W3C guidance on complex images explains how short and detailed text alternatives can communicate the information contained in charts. Provide the essential meaning, rather than describing only the icons’ appearance.
Also consider contrast, readable labels, and how the visualization works without color. In an interactive product, make filtering and detail controls usable by keyboard, and provide relevant information without requiring hover.
Applying Dworkz’s dashboard expertise
Pictograms are one part of a broader interface. Their usefulness depends on the surrounding navigation, terminology, data hierarchy, and workflow.
In our PubNub Administrator Dashboard work, customer interviews informed changes to navigation and information architecture. The project also included improved data visualizations and custom iconography. That experience supports a practical starting point for chart design: understand what users need to accomplish before choosing how to display the numbers.
Our Tickeron work involved translating a complex financial platform into an interface supported by user flows, content maps, wireframes, and prototypes. Consistent visual patterns help users move between different tools without repeatedly learning how each screen works.
Applied to pictograms, these principles mean defining the unit, labels, colors, spacing, and fallback behavior as part of the product’s design system. A reusable component should handle changing data as thoughtfully as its initial example.
Test comprehension with realistic tasks. Ask someone which category is largest, what one icon represents, and what action they would take next. If the answers require explanation from the designer, revise the chart.
Design for understanding
A successful pictogram makes a modest amount of data easy to recognize and compare. Use clear symbols, consistent units, direct labels, and a layout that supports quick reading. Switch formats when fractional values, similar quantities, or larger datasets make the picture harder to interpret.
Dworkz helps B2B SaaS teams turn complex workflows and data into intuitive digital experiences. Need a clearer reporting interface or dashboard? Let’s talk about your product.
FAQ
How do you make a pictograph?
Start with a clear question and a small dataset. Choose a recognizable icon, define the quantity each symbol represents, and arrange the symbols in consistent rows or grids. Add category labels, exact values, and a legend. Check that the chart remains understandable at its final size.
What is a pictograph in math?
A pictograph is a chart that represents quantities using pictures or symbols. A key explains the value of each symbol. If one book icon represents five books, four icons represent twenty books. Shading a portion of a total is one possible format, not a requirement.
What is the difference between a pictogram and a pictograph?
In data visualization, the terms are commonly used interchangeably for charts built from repeated symbols. More broadly, “pictogram” can also mean a standalone symbol that communicates an object, place, or instruction, such as a sign at an airport.
Who invented pictogram charts?
Modern statistical pictograms are strongly associated with Isotype, which developed from work in 1920s Vienna. Otto Neurath, Marie Neurath, and Gerd Arntz were key contributors. The University of Reading’s Isotype overview explains this history. It is more accurate to describe their contribution to statistical picture language than to credit one person with inventing all pictorial communication.
When should you avoid a pictogram?
Avoid pictograms when readers need to compare many categories, inspect small differences, or work with frequent fractional values. They are also a poor fit for detailed time trends. Bar charts, line charts, and tables often serve those tasks more effectively.
Can one icon represent more than one unit?
Yes. One icon can represent ten customers, fifty households, or another defined quantity. Keep that value consistent within the comparison, state it in the legend, and choose a scale that keeps the chart readable.
Are pictograms useful in SaaS dashboards?
They can be useful for simple summaries, such as seat usage, completion, or survey responses. For investigation and operational decisions, pair the summary with exact numbers and access to more detailed data.
The following article in the Data Visualization series discusses maps. Stay tuned and subscribe to our mailing list to get the next article on data visualization.
If you missed the previous seven articles from the series, you can read them here:


