[IMAGE_CONTENT] = What the image shows (design, data, product, etc.) [ANALYSIS_FOCUS] = Specific aspects to evaluate or improve [EXPERT_PERSPECTIVE] = Professional lens to apply [BACKGROUND_CONTEXT] = Relevant situation or goals [OUTPUT_STRUCTURE] = How you want information organized Step 1 → Visual Context Establishment Begin by uploading or referencing [IMAGE_CONTENT] and providing essential context about what the AI is seeing. Specify the type of visual (design mockup, data visualization, product photo, etc.), its purpose, and any relevant background information. Direct the AI's attention to the most important visual elements that require focus. Step 2 → Analysis Framework Creation Develop a targeted analytical approach for [ANALYSIS_FOCUS] that: Identifies specific aspects of the image that need evaluation Establishes criteria or standards for assessment Defines comparative benchmarks if applicable Sets the depth and scope of analysis Specifies any constraints or requirements to consider Step 3 → Expertise Direction Request analysis from a specific [EXPERT_PERSPECTIVE] such as: Professional role (designer, marketer, educator, etc.) Domain specialization (UX design, data science, etc.) Methodological approach (heuristic evaluation, statistical analysis) Theoretical framework or school of thought Experience level (industry veteran, cutting-edge practitioner) Step 4 → Contextual Information Addition Provide relevant [BACKGROUND_CONTEXT] to improve analysis quality: Business or project objectives related to the visual Target audience characteristics and needs Previous iterations or feedback if applicable Resource constraints or technical limitations Timeline and implementation considerations Step 5 → Response Structure Definition Specify the desired [OUTPUT_STRUCTURE] for maximum utility: Format for observations and insights (bullet points, paragraphs, etc.) Organization method (priority-ranked, categorized, etc.) Balance between strengths and improvement areas Level of detail for recommendations Implementation guidance requirements Pro Tip: When using multi-modal prompts for design feedback, always include "alternative approaches" as part of your requested output structure. This encourages the AI to provide multiple creative solutions rather than a single prescriptive answer, giving you a range of possibilities to consider.