Generating concepts means coming up with multiple possible solutions to a problem before committing to any single one. It’s the creative phase where you explore ideas broadly, sketching out rough possibilities rather than perfecting a final answer. The term shows up across design, engineering, business, and education, but the core meaning stays the same: move from understanding a problem to imagining ways to solve it.
The Core Idea Behind Concept Generation
A concept, in this context, is a rough description of how something could work and what need it would satisfy. It’s not a finished product or a detailed plan. Think of it as a sketch on a napkin: enough detail to communicate the idea, but loose enough to leave room for changes. The Tufts University Engineering Design Handbook defines a concept as both “an approximate description of the technology, working principles, and form of the product” and “a concise description of how the product will satisfy customer needs.”
Generating concepts is the step where you produce as many of these sketches as possible. The emphasis is on quantity, not quality. You’re deliberately casting a wide net because the best solution often comes from an unexpected direction. This requires a different mindset than most people use day to day. Instead of finding the right answer quickly and moving on, you sit with the question longer and let yourself explore possibilities that might seem impractical at first.
As researchers at Stanford’s Biodesign program have put it, the process should feel “childlike” because at its heart it’s about exploring possibilities free from as many constraints as possible. Perfectionism works against you here. The goal is to fill the table with options so you can compare, combine, and refine them later.
Where It Fits in a Larger Process
Concept generation doesn’t happen in a vacuum. In design thinking, a widely used problem-solving framework, it falls roughly in the middle of the process. IDEO, the design firm that popularized the approach, breaks the work into seven steps: framing a question, gathering inspiration, synthesizing findings, generating ideas, making ideas tangible, testing to learn, and sharing the story. Generating ideas is step four.
What comes before matters. You need to understand the problem deeply, talk to the people affected by it, and identify patterns in what you’ve learned. Only then are you ready to generate concepts that actually address real needs rather than imagined ones. What comes after matters too. Once you have a pool of concepts, you shift into convergent thinking, where you evaluate, combine, and narrow down your options based on feasibility, cost, user needs, and other practical constraints.
How People Actually Generate Concepts
There are structured techniques that teams use to move beyond the obvious first idea.
- Brainstorming is the most familiar: a group shares ideas out loud, building on each other’s suggestions, with no criticism allowed during the session. The rule is to go for volume and withhold judgment.
- Brainwriting works like brainstorming but on paper. Each person writes down ideas, then passes the sheet to someone else, who builds on what’s already there. This is useful when quieter team members get drowned out in verbal sessions.
- SCAMPER is a set of prompts that push you to rethink an existing product or idea. Each letter stands for an action: Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, Reverse. You systematically ask what would happen if you applied each action to the thing you’re working on.
- The “magic circle” is a technique where the group temporarily sets aside all constraints (budget, technology, time) and imagines the ideal solution. Once you’ve dreamed big, you bring the constraints back in and see which elements of the ideal version are actually achievable.
These methods all share the same underlying logic: force yourself past the first workable idea, because it’s rarely the best one.
Generating Concepts in Business
In a business context, generating concepts often means developing possible products, services, or business models that could meet a market need. The output isn’t just a cool idea; it needs to answer some basic questions. What problem does this solve for a specific group of people? What makes it different from what already exists? Why should anyone believe this team can deliver it?
Harvard Business School frames this through a value proposition, a short statement that captures what your offering does and why it’s different. A useful framework breaks it into four parts: who you’re serving, what difference you’ll make, who you’re competing against, and why people should believe your claim. When you’re generating business concepts, you’re essentially drafting multiple versions of this value proposition and testing which ones hold up.
The key distinction is between a concept and a business plan. A concept is the seed of an idea, defined just enough to evaluate and discuss. A business plan is the detailed roadmap that comes later, after you’ve chosen which concept to pursue and validated it with real customers.
How AI Tools Fit In
AI tools have become a common part of concept generation. Text-based AI can rapidly produce variations on an idea, suggest alternative approaches, or help you see a problem from angles you hadn’t considered. Image generators can turn a written concept into a rough visual in seconds. Video models can now generate multi-second footage from simple text prompts, making it faster to communicate what a concept might look and feel like.
The practical role of AI in this process is as an accelerator, not a replacement. It can help you produce more raw material faster, which is exactly what the “quantity over quality” phase needs. But the critical human work, deciding which concepts actually address a real need, which ones are feasible, and which ones are worth pursuing, still requires judgment that comes from understanding the problem deeply. Teams that use AI effectively treat it as a brainstorming partner that never runs out of energy, while keeping human decision-making at the center of the process.
Why It Matters Outside of Design
You don’t have to be a designer or engineer to benefit from concept generation. The underlying skill, deliberately producing multiple possible solutions before committing to one, applies to career decisions, personal projects, marketing campaigns, event planning, and almost any situation where the first idea that comes to mind might not be the strongest. The habit of pausing to ask “what else could work?” before locking in a direction is what concept generation really teaches, regardless of the formal methods you use.