Incremental and Radical Innovation
Incremental and Radical Innovation
Background
Work began independently by Donald A. Norman and Roberto Verganti.
Norman contributed significantly to the field of human-centered design (HCD).
HCD typically involves an iterative cycle of investigation, including:
Observations of users
Ideation phase
Rapid prototyping and testing
Iterations build on previous cycles until results are satisfactory.
Hill Climbing in Design
Hill climbing is a mathematical method for finding local optimization, applied in design as:
Height along the vertical axis indicates product quality.
Different design parameters are represented along horizontal dimensions.
The iterative nature ensures continual improvement, but it can lead to local maxima, preventing exploration of potentially higher innovations.
Incremental vs. Radical Innovation
Incremental Innovation: Focuses on improving existing solutions (hill climbing approach).
Radical Innovation: Seeks entirely new solutions (involves shifting to a different hill).
HCD is deemed unsuitable for achieving radical innovation as it focuses on current parameters and needs.
Evidence and Examples
Norman found that most radical innovations emerged without extensive design research, including:
Technologies developed long before design research was established (e.g., indoor plumbing, electric lighting).
Social networks like Facebook and Twitter also arose from the inventors' curiosity rather than systematic design methods.
HCD is valuable post-innovation for enhancing product appeal.
Collaboration with Roberto Verganti
Verganti emphasizes the role of technology and meaning change in radical innovations.
Combined ideas led to a unified view on the roles of design research in incremental and radical innovations.
Definitions of Design
Design is viewed as making sense of things—connecting meaning and usability.
Norman and Verganti agree that HCD works for incremental innovations but struggles with radical innovation.
Types of Innovations
Two essential categories for products/services discussed:
Incremental Innovation: Results in minor improvements within an existing framework.
Radical Innovation: Involves significant changes that disrupt existing paradigms.
Criteria for radical innovation (Dahlin and Behrens):
Must be novel—different from prior inventions.
Must be unique—dissimilar from current inventions.
Must gain adoption—influencing future inventions.
Types of Design Research
Design research takes two forms:
Exploration and experimentation leading to theory development.
Collection and analysis of data to understand topics for practical insights.
Frayling's triadic classification of design research:
Research into design
Research through design
Research for design
Incremental vs. Radical Innovation Framework
Technology-Push Innovation: Driven by new technology without changes in meaning.
Example: Introduction of color TV.
Meaning-Driven Innovation: Emerges from changes in socio-cultural dynamics without new technology.
Example: The mini-skirt signifying women's freedom.
Technology Epiphanies: Affects meaning change through technology.
Examples: Wii console, Swatch watches.
Market-Pull Innovation: Satisfies established user needs—rooted in HCD.
The Design Research Quadrangle
Stokes' framework aligns with design research:
Two dimensions include:
Quest for understanding (novel interpretation of meaning).
Consideration of use/practicality.
Four research types defined:
Basic Design Research: Explores new meanings without immediate application.
Design-Driven Research: Seeks to create new meanings applied in products.
Human-Centered Research: Focuses on current user needs and meanings.
Tinkering: Unstructured exploration, sometimes leading to innovation.
Can Design Research Lead to Radical Innovation?
Yes, but predominantly through meaning-driven approaches.
Incremental changes result from HCD methods, primarily yielding gradual enhancements.
Radical innovation involves:
New enabling technologies or shifts in product meanings.
Emphasizing deep interpretation of social and cultural dynamics in design research.
Importance of researchers not being confined by existing paradigms—encouraging broader explorations.
Conclusion
A holistic view of innovation must consider technology-driven and meaning-driven aspects.
Understanding societal changes and user aspirations is vital for effective design research.
The objective of design research should focus on recognizing new, meaningful opportunities rather than just refining existing solutions.