Effective use of non-verbal communication (storyboarding) to enhance collaboration and shape the advertisement design
Innovative repurposing of existing images into 3D renders, showcasing creative thinking and mastery of multiple design tools
Implementation of Cornell notes to systematically track competitor performance, demonstrating precise ATL skill application
Integration of design and event planning skills in the environmental T-shirt project, illustrating real-world transfer of competencies
Insufficient explicit linkage of classroom design principles (e.g., color theory, branding) to justify design decisions
Lack of concrete evidence for the LinkedIn Competitor Performance List; the actual chart or summary of metrics is missing
Competitor analysis narrative would benefit from quantitative comparison tables showing month-on-month performance gaps and the resulting strategic insights
Strong contextual rationale linking social media addiction research to the learning goal, grounding the project in credible scholarship
Clear articulation of Supertech’s value proposition and market context, aligning success criteria with real business objectives
Well-defined strategic positioning of the LinkedIn product, providing a solid foundation for relevant and targeted criteria
Success criteria lack quantitative specificity (e.g., defined hex codes, font usage, precise timeframes and data sources) to ensure measurability
Planning documentation is missing a detailed timeline, sequencing of tasks, and resource lists (empty rows in the long-term plan)
Engagement rate measurement uses a non-standard formula and needs alignment with industry practice and direct linkage to measurable targets
In-depth reflection on personal habits such as risk-taking and procrastination, demonstrating strong self-awareness
Insightful engagement analysis that reveals a thoughtful approach to interpreting performance data
Functionality survey feedback is too general and lacks actionable detail; survey questions should specify which links or features failed
Analytical calculations mix raw sums and percentages without clear, standardized formatting or rationale
Overall product evaluation is incomplete, omitting assessments of aesthetics, customer engagement, and functionality against the success criteria