Connect existing ideas in new ways

Combinatorial Creativity

Combinatorial creativity is based on the principle that innovation comes from connecting existing elements in new ways. This approach systematically explores combinations to generate breakthrough ideas.

In one sentence

“Connect existing ideas in new ways”

Quick facts

Time required

10–15 minutes

Primary benefit

Idea Synthesis

Techniques

9 individual techniques

The core mechanism.

The science

Where it came from.

Combinatorial creativity draws from cognitive science research showing that innovation often emerges from connecting existing knowledge in novel ways. Studies in creative cognition demonstrate that the ability to make remote associations between seemingly unrelated concepts is a key driver of breakthrough ideas. This approach is supported by research in conceptual blending theory, which explains how combining mental spaces can generate new meaning and possibilities.

Techniques

9 techniques, each ready to use.

Each technique is a distinct prompt or operation. Apply them one at a time or combine several for deeper exploration.

Random Combination

Force connections between unrelated concepts

Select two or more random, unrelated concepts, objects, or ideas and force connections between them. How might they work together? What new product, service, or solution might emerge from their combination?

Matrix Method

Create systematic combination grids

Create a grid with one set of elements along the horizontal axis and another set along the vertical. Systematically explore each intersection to discover novel combinations. This ensures comprehensive exploration of possibilities.

Cross-Industry Transfer

Apply concepts from different domains

Deliberately import concepts, processes, or business models from unrelated industries. For example, how might healthcare adopt practices from hospitality? How could manufacturing benefit from video game design principles?

Feature Extraction

Isolate and recombine object attributes

Break products or concepts into their component features, then mix and recombine these features in new ways. For example, extract features from a smartphone and a book, then explore ways to combine them into new products.

Conceptual Blending

Merge mental spaces and frameworks

Blend not just physical features but entire conceptual frameworks. For instance, blend the mental models of 'library' and 'social network' to create new information-sharing systems that incorporate aspects of both frameworks.

Historical Combinations

Study past successful mashups

Analyze historically successful combinations — like the camera phone, spork, or digital marketplace — to understand what made them work. Use these principles to guide your own combinatorial efforts.

Chain Combinations

Create sequences of conceptual connections

Start with two concepts and find a connection between them. Then add a third concept and connect it to the previous result. Continue this chain to build increasingly complex and novel combinations.

Forced Analogy

Leverage similarities between domains

Identify analogies between your domain and a completely different one. For example, 'Our customer service process is like a hospital emergency room.' Explore the analogy to discover transferable insights.

Bisociation

Connect previously unrelated matrices of thought

Cultivate the ability to think simultaneously in multiple frames of reference, allowing your mind to make sudden connections between previously separate matrices of thought. This is what Arthur Koestler called 'bisociation' — the essence of creativity.

Best practices

How to apply it effectively.

Start by identifying distinct elements or concepts that could be combined. Look for complementary features that might create new value when merged. Use structured methods like SCAMPER or forced analogies to systematically explore combinations. Don't limit yourself to obvious connections — some of the most innovative ideas come from unexpected combinations. Document all combinations, even seemingly impractical ones, as they may spark other ideas.

Best use cases

When to reach for this.

When you suspect the answer lies in combining existing things
When cross-industry transfer might reveal solutions
When you want to systematically explore a large combinatorial space
When looking for the 'camera phone' type innovation in your domain

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