The Process

Generative design projects typically follow a series of phases to systematically progress from ideation to implementation. While the specific phases can vary depending on the project nature and industry, here is a generalized framework:

1. Discovery and Research:
   • Objective: Understand project requirements, constraints, and goals.
   • Activities: Gather relevant data to inform the project’s direction.
   • Timeframe: 1 Week
2. Ideation and Conceptualization:
   • Objective: Generate creative ideas and concepts based on research findings.
   • Activities: Conduct brainstorming sessions, sketching, and explore various design possibilities.
   • Timeframe: 1 Week
3. Prototyping:
   • Objective: Create low-fidelity prototypes to test and validate design concepts.
   • Activities: Rapid prototyping, refine design iterations based on feedback.
   • Deliverable: Presentation of the first three phases.
   • Timeframe: 2 Weeks
4. Generative Algorithms and Parameters:
   • Objective: Develop generative algorithms that create design variations based on predefined parameters.
   • Activities: Code the system, experiment with different algorithms, and adjust parameters to influence generated outcomes.
   • Deliverable: Presentation of generated designs.
   • Timeframe: 2 Weeks
5. Optimization:
   • Objective: Refine and optimize generated designs for specific criteria such as cost, efficiency, or aesthetics.
   • Activities: Iteratively adjust generative algorithms, fine-tune parameters, and analyze results to achieve optimal solutions.
   • Deliverable: Set of assets/images in required resolutions and dimensions.
   • Timeframe: 2 Weeks
6. Integration with Traditional Design:
   • Objective: Integrate generative design outcomes with traditional design elements to create a holistic solution.
   • Activities: Combine generative outputs with human-centric design principles, ensuring a balance between algorithmic creativity and practical usability.
7. Documentation:
   • Objective: Document the generative design process, algorithms, and parameters for future reference and collaboration. Also serves marketing purposes to promote the project.
   • Activities: Create comprehensive documentation detailing the design system, algorithms used, and any relevant guidelines.
   • Deliverables: Design Manual, Social Media Campaign
8. Tool Development:
   • Objective: Implement the final generative design into the intended application or product. Develop a tool others can use to generate their assets/images.
   • Activities: Code integration, deployment, and monitor the performance of the generative design in a real-world context.