Does Gemini need a specific prompt structure?

Yes. While it's flexible, using a structured framework like RITFC ensures that the AI understands the relationship between your multimodal inputs and your desired output.

The Gemini Prompt Framework

Building the Perfect Gemini Prompt: The RITFC Framework

Because Gemini handles so many different types of data, your prompt structure must be Modular. You aren't just giving instructions; you are providing an Input Stream. We use the RITFC Framework to maintain control.

The Framework: Role + Input + Task + Format + Constraints

Role: Who is Gemini today? (e.g., "You are a UX Audit Expert").
Input: What is the source data? (e.g., "Analyze the attached 10-minute user testing video").
Task: What is the objective? (e.g., "Identify every time the user struggled with the navigation menu").
Format: How should the data look? (e.g., "Return as a table with timestamps and descriptions").
Constraints: What are the rules? (e.g., "Keep the descriptions under 20 words. Focus only on mobile UI issues").

🧩 Example: Multimodal UX Audit

Framework in Action

Role: You are a Senior UX Researcher.

Input: [Screenshot of checkout page] + [PDF of brand guidelines].

Task: Compare the screenshot to the brand guidelines.

Format: List.

Constraints: Identify 3 areas where the UI violates the brand's color accessibility rules. Be specific.

💡 Gemini-Specific Difference: The Multi-Media Input

In Gemini, the Input is the most dynamic variable. Unlike ChatGPT or Claude, where the input is primarily text or a static image, Gemini's input can be a live link, a video file, or even an audio recording of a meeting. Your prompt must explicitly tell Gemini how these different inputs relate to each other.

The Gemini Prompt Framework.