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Dieter & Schmidt (2013) Design Definition
Design is pulling together something new, or arranging existing things in a new way, to satisfy a recognized societal need.
Ulrich & Eppinger (2016) Design Definition
Product development runs from perceiving a market opportunity through production, sale, and delivery.
Simplified design definition
The plans to make something.
Four Cs of Design
Creativity • Complexity • Choice • Compromise
Design process
Iterative: results from later phases often require revisiting earlier decisions
Types of Design: Original
Create a new solution
Types of Design: Adaptive
Modify an existing design for different needs
Types of Design: Variant
Change configuration or dimensions within an existing design family.
Types of Design: Selection
Choose an existing solution or component for an application
4 Types of Design
Original, Adaptive, Variant, Selection
Code
laws/rules protecting general welfare and preventing injury or property damage.
Standard
agreed procedures, criteria, dimensions, materials, or parts.
Performance Code
States outcome to achieve
Prescriptive code
states specific required details
Benefits of codes/standards
efficiency, safety, interchangeability, compatibility
Standards Organizations
ASME, ISO, IEEE, APA, and SAE
Environmentally Responsible Design
1. Easy to disassemble
2. Able to be recycled
3. Contains recycled materials
4. Uses identifiable and recyclable plastics
5. Reduces use of energy and natural materials in its manufacture
6. Manufactured without producing hazardous waste
7. Avoids use of hazardous materials
8. Reduces product chemical emissions
9. Reduces product energy consumption
Brand
Non-tangible set of meanings, symbols, promises, trust and expectations associated with a product
Brand identity
What the company intends its brand to represent.
Brand image
What customers actually perceive.
Emotional bonding
Customers seek emotional meaning or attachment beyond functional benefits.
ABCs of branding
Attributes, Behavior, Circumstances
Brand positioning
How a brand is differentiated and perceived relative to competitors.
Benchmarking
Benchmarking compares an organization’s practices or products with best-in-class companies, including companies outside its industry. It helps identify improvement opportunities and establish performance metrics.
Four sources of resistance to Benchmarking
fear of looking like copiers; fear of giving away competitive advantages; arrogance; impatience
Project Brief
the starting statement or document describing the desired project, problem, or opportunity.
Project Scope
statement of work specifying the project description (objective statement), key goals, primary market, secondary market, assumptions, and stakeholders
Objective statement
“The objective of this project is to…”
Primary market
Main intended users or purchasers.
Secondary market
Other possible users or applications
Assumptions
Conditions assumed to make the project feasible.
Stakeholders
People or groups who use, build, purchase, maintain, fund, or are affected by the product
Scope creep
Expansion of agreed project work or objectives
Feature creep
Accumulation of additional product functions/features
Customer Types
end users, purchasers, manufacturers, assemblers, maintainers, managers, and others affected by the design.
Stakeholder Types
Investors, Decision-Makers, Advisers, Receivers
Need Statements
describe what the product does, not how; be specific; phrase positively; describe product attributes; avoid “must” and “should.”
General Process to Identify Customer Needs
define scope; gather customer data (Ask about typical use, likes, dislikes, purchasing concerns, and desired improvements); synthesize needs; organize needs; rank importance; reflect and refine.
Things not to do when identifying Needs
Avoid assuming customer intentions, becoming defensive, leading interviews, or discussing technologies before functions.
Kanos Four Requirement Levels
1. Expecters: Basic features taken for granted
2. Spokens: Features explicitly requested
3. Unspokens: Important but not usually mentioned
4. Exciters/delighters: Unexpected features that distinguish the product
Functional Decomposition
breaking a complex system, procedure, or process into smaller functional parts. Ask: “WHAT DOES IT HAVE TO DO?”
Functional Decomposition DOES
Describe physical actions, Describe outcomes, Break the overall function into subfunctions
Functional Decomposition Doesn’t
Specify solutions, Specify components, Specify equations
Recursive design
the design process can be repeated for smaller units of the system
Synthesis
combine functions and candidate solutions into an integrated system
Task Analysis
breaking a complex process into SEQUENTIAL STEPS
Metric
How a function will be validated (e.g., force, temperature, pressure, user opinion).
Target
Specific value of a metric to design around (e.g., 10 N, 1080p, 10⁻⁴ torr).
Performance measure
Directly quantifiable and reproducible, such as length or temperature.
Psychological measure
Harder to quantify: comfort, personality, mental workload, learning.
Objective measure
Instrumentation/validation: wheel speed, yaw rate, azimuth.
Subjective Measure
Human judgment: test drivers, expert panels, surveys.
Brainstorming
Organized, rapid, free-flowing idea generation; defer criticism early.
Concept map
Central problem with connected branches of related ideas and subtopics
Sensitivity
Recognize that a problem exists
Fluency
Generate many alternative solutions
Flexibility
Generate different approaches to the same problem
Originality
Generate novel solutions
Mental block
Barrier that prevents perceiving a problem or conceiving a solution.
Design space
Set of all possible designs
Generative design
Generate many feasible candidates satisfying the design specification
Morphological analysis
1. Break the overall problem into subproblems/functions.
2. Generate alternative solutions for each function.
3. Combine alternatives systematically and evaluate complete concepts.
Combination count for Morphological analysis
Combination count = multiply the number of alternatives for each function. Lecture example (5 functions with 4 alternatives each): 4 × 4 × 4 × 4 × 4 = 1,024 possible combinations.
Garvin’s eight dimensions of quality
1. Performance: Does the product perform its primary job well?
2. Features: What additional useful functions are included?
3. Reliability: How often does it fail?
4 Conformance: Does it meet specified requirements?
5. Durability: How long will it last?
6. Serviceability: How easy is it to maintain or repair?
7. Aesthetics: How does it look, feel, or sound?
8. Perceived Quality: What quality does the customer infer from reputation and experience?
Human Factors
study human capabilities and limitations to design systems that are SAFE, PRODUCTIVE, and SATISFYING
Three schools of thought of Human factors vs Ergonomics
1. Human factors and ergonomics are synonymous terms.
2. Human factors focuses on cognitive issues; ergonomics focuses on physical issues.
3. Ergonomics is a subcomponent of the broader human factors field.
Three Ergonomic layout Approaches
Average user | Easy reference but may fit few actual users well. |
Extreme user | Useful when one population extreme controls the design. |
Range of users | Accommodates a broad population, often through adjustability; common best practice. |
Nielsen’s Heuristics
Heuristic | Easy example to remember |
1. Simple and natural dialogue | Remove unnecessary interface clutter. |
2. Speak the user’s language | Use familiar words and symbols. |
3. Minimize memory load | Make options visible rather than requiring recall. |
4. Consistency | Use the same icon for the same action. |
5. Feedback | Show “Saved successfully.” |
6. Clearly marked exits | Provide Undo or Cancel. |
7. Shortcuts | Keyboard shortcut for experienced users. |
8. Good error messages | Explain what went wrong and how to fix it. |
9. Prevent errors | Disable submission when required fields are missing. |
10. Help and documentation | Provide accessible contextual help. |
System
interacting parts working toward a common objective. Systems thinking considers the WHOLE and its interactions, not just individual parts.
Analytical approach
break into parts → study parts → recombine.
Systems Approach
identify the wider system and objective → derive requirements for the parts
V-model
Level | Left side: define | Right side: test |
Product | Quantitative product targets | Product testing and validation |
Subsystem | Subsystem target specifications | Subsystem integration and verification |
Component | Detailed technical targets | Component testing and verification |