Students refine their logo drafts by applying principles of negative space and contrast, creating color and black-and-white versions for professional export.

Students combine their icon and typography choices to build an official brand logo draft, focusing on balance, alignment guides, and the 'Squint Test' for simplicity.

Students master custom shape creation using polyline and curve tools, exploring line weights and the importance of vector scalability for professional branding.

Students move from curating to creating, using Google Drawing to build complex objects with simple geometric shapes while learning the fundamentals of vector design and layering.

Students learn how font choices communicate a brand's tone of voice, distinguishing between serif, sans serif, and display fonts to select a pair that fits their business identity.

Students explore the emotional impact of color in branding, learning to use Hex codes and curated imagery to build a brand mood board that reflects their product's personality.

Students perform quality control on their business proposals through peer review, grammar tools, and text-to-speech auditing before exporting their final work as professional PDFs.

Students learn about intellectual property, source reliability, and technical citation skills like hyperlinking and footnotes to perform ethical competitor research.

Students integrate market research data and customer testimonials into their formal proposals, using evidence to validate their product concepts and finalizing the Solution section.

Students learn to distinguish between product features and customer benefits, drafting the Executive Summary and Problem sections of their business proposal using persuasive formatting.

Students learn the importance of professional document formatting and hierarchy, setting up a formal business proposal template with structured headings and standardized typography.

Students conduct a market research sprint, interviewing classmates to validate their product ideas and learning to 'pivot' based on real user feedback and data synthesis.

Students learn the difference between leading and open-ended questions, developing a research table and interview script to gather unbiased feedback from potential customers.