S.3 Systems diagrams and models

Helpful prior learning and learning objectives

Helpful prior learning:


Learning objectives:

Have you ever been part of a brainstorming session, maybe for a school project? Then you probably know what happens. People throw out all kinds of ideas, someone writes them down or maybe all the ideas go on sticky notes to be posted on a wall (Figure 1). Overwhelmed with lots of disconnected ideas, the group might find it difficult to move forward. For brainstorming ideas to be really useful, more work needs to be done.

Considering distinctions (identity/other), systems (part/whole), relationships (action/reaction) and perspectives (point/view) can help you understand and improve some common education tools like brainstorming, while also giving you the building blocks to use more formal systems thinking methods covered in Sections S.4-S.9.

A photograph of a white wall with sticky notes

Figure 1. A brainstorming session can generate a lot of ideas, but without further systems thinking they won’t be much use.

(Credit: DSStories, Pexels license)

How do familiar knowledge tools represent systems?

Many familiar tools—like brainstorming, outlining, mind-mapping, graphs, and tables—have elements of systems thinking. However, they often focus on only part of the picture. By applying the DSRP (Distinctions, Systems, Relationships, and Perspectives) framework, we can better understand how these tools work and how they might be improved.

Brainstorming: Give structure to a mess of ideas

Brainstorming is useful for quickly generating ideas, but without further organisation, those ideas may have little meaning. To give those ideas meaning, you can use:

By applying these elements to a brainstorm (Figure 3), participants can take away a meaningful web of insights.

An illustration of DSRP

Figure 2. DSRP patterns reveal how familiar learning tools support—or limit—systems thinking.

(Credit: Cabrera Labs, used with permission)

A photograph of a group of people organising brainstormed ideas on sticky notes.

Figure 3. After brainstorming, it's time to organise—grouping, connecting, and seeing things from new angles.

(Credit: BullRun, licensed from AdobeStock)

Outlining and mind-mapping: Adding relationships and perspectives to hierarchical structures

Mind-mapping (Figure 4) and outlining (Figure 5) organise information in a hierarchical structure (Figure 6) with parts and wholes. However, these tools often fail to show how different parts interact beyond this simple part-whole categorisation.

An outline about tennis

Figure 5. An outline has the same structure as the mind map.

Figure 6. Both the mind map and the outline have a hierarchical structure, which can also be represented this way.

Adding relationships to these structures strengthens their explanatory power. In an outline for an essay or report, this means using arrows or labels to indicate connections between sections. Having a good thesis statement that you refer back to throughout the essay or report ensures that the ideas are connected. Transitions between paragraphs also help the reader see how ideas link. 

Relationships can also be added to mind-maps. But once you start adding those relationships, it may be more effective to use one of the formal modeling strategies described in Sections S.4-S.7. Each of those models can include the part/whole hierarchies that a mind-map gives you, but highlight particular types of relationships, which can help clarify your thinking about what you are trying to show.

Graphs: XY graphs already incorporate D, S and R, but what about P?

A basic XY graph, like the one shown in Figure 7, already incorporates three elements of DSRP:

Relationships (R): Each point on the graph shows a relationship between the X and Y system parts, and a line connecting these two points shows the relationship between the X,Y parts.

An XY graph showing 2 points, and a whole/part illustration of the XY parts and their links via the two points.

Figure 7. Graphs have distinctions, whole/part systems, and relationships.

However, XY graphs often lack perspectives (P). The same data can be interpreted differently depending on what is emphasised, which scale is used, or what additional context is provided. By explicitly considering perspectives—such as comparing the graph from different stakeholder viewpoints or adjusting scales to highlight different trends—graphs become even more powerful tools for analysis.

Tables: Capturing all elements of DSRP

A table organises information in a grid pattern, with labeled columns and rows. Well-structured tables may include all four elements of DSRP.

The tables below represent data from the Happy Planet Index, which indicates how well countries are able to support a long and happy life relative to their carbon dioxide CO2 emissions.

A table showing that one cell is a 'part'.

Figure 9. Each column (or row) is a whole, and each cell in the group is a part of that whole.

A Table showing how one table cell of data shows the relationship between one row and one column.

Figure 10. The data in the table cell is the relationship between the row and the column.

A table showing how the row is a point of view on the column data

Figure 11. Each row is viewing the items in the respective columns.

Which symbols are used for formal systems diagrams and models?

One of the main reasons to diagram systems is to make our mental models of systems visible to other people so we can discuss and improve them. But this only works if we all understand the visual symbols used to represent system distinctions, system parts/wholes, relationships and perspectives. Out in the wild, people do not use these symbols consistently, but adopting these symbols will help your own and others’ understanding:

Three rectangles labelled 'Thing 1', 'Thing 2', 'Thing 3' and 'dog', 'cat', and 'fish'

Figure 12. Things, ideas, events are indicated with labeled rectangles.

A rectangle labelled 'whole' with rectangles inside it labelled 'part 1', 'part 2', 'part 3' and another rectangle labelled 'animals' with rectangles inside it labelled 'dog', 'cat', and 'fish'

Figure 13. Parts within wholes are represented by embedding rectangles inside each other.

Figure 14. Labeled lines and arrows represent relationships between system parts, and relationship labels can also have parts.

Rectangles labelled A, B and C with different coloured eyes, and a rectangle labelled 'dog' with three different coloured dots.

Figure 15. The dog is being viewed by three perspectives, which could be the viewpoints of people or it could be the viewpoints of other ideas like history, anatomy, role in the ecological food webs, etc.

It is important to note that the dot on the thing being viewed is not the “point” of view. The point of view comes from the viewer, the eye symbol. The dot on the thing corresponds to the eye, and different colours can be used to indicate that different perspectives are being applied to the thing.

What are the limitations of systems diagrams and models?

Systems diagrams and models help us understand systems, but they must be used carefully. 

A model is not the system, just a simplified version. No model captures every detail, and all models leave things out. While models highlight patterns and relationships, they can also mislead us if we forget their limits, as seen in some economic models (Section 1.1.2).

System diagrams also reflect the perspectives of their creators. Choices about what to include, exclude, and how to show relationships shape how the system is understood. Making models visible allows others to discuss, critique, and improve them. Different people may see the system differently, identifying missing or overlooked parts that are key to understanding how it works.

Real-world systems also change over time. A model that fits today may not work tomorrow. Feedback loops may strengthen or weaken, stocks may grow or shrink, and new relationships may form. Models should be seen as evolving tools that need updating as conditions change.

The next sections (S.4 - S.7) explain four formal systems thinking models. Each type of model focuses on a different type of relationship between system parts, such as flows between parts (stock/flow), cause-and-effect (causal loops and feedback), rules that affect behaviour (agent-based), or other kinds of connections (networks). Understanding these visual tools can help us choose the most effective one for representing and sharing our mental models and addressing complex issues.

Activity S.3

Concept: Systems

Skills: Thinking skills (transfer)

Time: varies, depending on which option is chosen

Type: Individual, pairs, and/or group depending on option


Option 1: Practising systems thinking symbols

Time: 35-40 minutes

The embedded economy model shows that there are four provisioning institutions in the economy: households, markets, commons and the state. Like all systems, these parts are related and even though you may be at the start of your economics studies, you may already have some idea how.

Alone, in pairs or small groups, use what you know about systems diagrams to redraw the information in Figure 17, showing distinctions, system parts/wholes, relationships, and perspectives. Section 1.1.2 provides a basic outline of these institutions, but don’t worry if you don’t have many ideas yet. 

Share your ideas with others when finished and discuss the following:

The economy part of the embedded economy model, with household, market, commons and state

Figure 17. The four provisioning institutions of the economy can be redrawn using DSRP patterns and the system symbols you learned about in Section S.2 and S.3.

Option 2: Reflecting on systems thinking with tools you’re already using

Time: 15-40 minutes, depending on the complexity of information selected by the students, and whether time is allocated for sharing



Option 3: Browsing the Master the Moves shorts - Jigsaw

Time: 40 minutes

This activity is repeated from S.2 because it also applies to S.3.

The Further Exploration section further down on this webpage has a list of short (ca. 5 min) videos about various ‘moves’ to practice the basics of systems thinking. They are listed in order from distinctions, systems, relationships and perspectives, with the final one circling back to thinking about distinguishing systems.

Checking for understanding

Further exploration

Sources

Cabrera, D., & Cabrera, L. (2018). Systems thinking made simple: New hope for solving wicked problems (2nd ed.). Odyssean Press.

Terminology (in order of appearance)

Coming soon!