Activity mapping refers to two distinct practices depending on the field. In business strategy, it’s a visual tool for showing how a company’s activities reinforce each other to create competitive advantage. In neuroscience, it’s the process of observing and recording which parts of the brain are active during specific tasks or states. Both share a core idea: making invisible connections visible so they can be understood and acted on.
Activity Mapping in Business Strategy
The business version of activity mapping comes from Michael Porter’s work on competitive strategy. An activity system map is a diagram that shows how a company’s various operations, choices, and processes link together to support its core strengths. The point isn’t just to list what a company does. It’s to reveal why those activities are hard for competitors to copy: they work as an interconnected system, not a collection of independent decisions.
A company’s core competences can be defined as the activities where resources are deployed in a way that achieves a lasting competitive advantage. The activity map makes the interdependence of those activities visible. If a competitor tries to copy one piece without the rest, it won’t produce the same result.
IKEA as a Classic Example
IKEA’s activity system map is one of the most widely studied examples of how this works. One of IKEA’s core competences is customer self-selection, where shoppers browse, choose, and transport products themselves. That single strength depends on a web of supporting activities: suburban store locations with ample parking, most items kept in on-site inventory, limited sales staffing, and flat-pack packaging.
Each of those choices reinforces the others. Flat packs lower shipping costs and reduce product damage, supporting IKEA’s low-price positioning. Suburban locations mean cheaper land, but they also give customers car-friendly access to load those flat packs. Customers willing to carry purchases home and assemble them themselves pay less, get furniture the same day, and face far less risk of shipping damage. The value of any single activity is amplified by the others around it. A failure of any one activity, like running out of on-site inventory, can weaken the entire system.
This is precisely what makes activity mapping useful as a strategic tool. It shows that competitive advantage isn’t about doing one thing well. It’s about a system of choices that fit together so tightly that imitating just one or two pieces doesn’t get a competitor very far.
How to Build an Activity System Map
Creating an activity map for your own organization follows a fairly straightforward process. Start by identifying the core competences or strategic themes that define how your company competes. These go at the center of your map. Then list the specific activities and operational choices that support each one.
From there, the steps are:
- Identify the starting activity or central strategic theme that anchors the map
- Determine the supporting activities and the sequence or hierarchy in which they contribute
- Define decision points where one choice enables or constrains another
- Connect activities with lines or arrows to show how they reinforce each other
- Note parallel processes or activities that support multiple themes at once
- Review for completeness to check whether removing any single activity would weaken the overall system
The finished map typically looks like a web of circles (activities) connected by lines, with the most central strategic themes in larger or more prominently placed circles. Activities that connect to many others are often the hardest for competitors to replicate and the most important to protect.
Activity Mapping in Neuroscience
In neuroscience, activity mapping means observing which regions, circuits, or individual neurons in the brain are active during specific tasks, stimuli, or states. The goal is to build a functional picture of how different parts of the brain work together. This field relies on a set of imaging technologies that each capture different aspects of brain activity.
The most commonly used techniques include functional MRI (fMRI), which uses magnetic fields and radio waves to detect changes in blood flow that correspond to neural activity, and EEG (electroencephalography), which records the brain’s electrical signals through electrodes placed on the scalp. Both are noninvasive. fMRI gives precise spatial information about where activity is happening, while EEG captures when it happens with millisecond-level timing. Other techniques like PET scans and magnetoencephalography (MEG) offer complementary views of brain function.
Researchers use fMRI to identify which brain regions activate during specific tasks, like reading, remembering, or feeling pain. This allows them to map functional networks and understand how different areas are connected. More advanced methods, like diffusion tensor imaging, can trace the physical fiber pathways that connect distant brain regions, revealing the brain’s structural wiring alongside its functional activity.
The Push to Map Entire Brains
Activity mapping in neuroscience has scaled dramatically in recent years. The NIH BRAIN Initiative, now in its second decade, is building toward a comprehensive understanding of the human brain through technology development and large-scale data integration. Its current goals include defining unifying principles of brain function, explaining how the brain and body work together to sense and engage with the world, and developing individualized therapies based on unique neural patterns.
The initiative is building interconnected knowledge platforms that link cellular data, connectivity maps across different species and scales, and behavioral data tied to neural activity. Its long-term plan includes AI-powered tools to search across the entire ecosystem of brain data and translational frameworks that connect findings in animal models to human brain health.
A major milestone arrived in October 2024, when researchers published the first complete wiring map of an adult fruit fly brain. This connectome, as scientists call it, catalogs nearly 140,000 neurons and more than 50 million connections between them. It’s the largest and most complex full-brain wiring diagram ever produced. While a fruit fly brain is vastly simpler than a human one, this kind of neuron-by-neuron, synapse-by-synapse mapping provides a foundation for understanding how neural circuits produce behavior, a question that applies across species.
How the Two Meanings Connect
Despite coming from completely different fields, both forms of activity mapping share a core logic. In business, the insight is that activities don’t operate in isolation; their value comes from how they connect and reinforce each other. In neuroscience, the same principle applies: individual brain regions don’t work alone, and the real understanding comes from mapping how they interact as networks. In both cases, the map is the point. It transforms a list of parts into a picture of a system, and that picture reveals things the parts alone never could.