Optimizing ChatGPT: The RISEN Framework Explained PPT


This PPT slide, part of the 26-slide Prompt Engineering Strategies PowerPoint presentation, presents the RISEN framework, a structured approach designed to optimize the utilization of ChatGPT's capabilities. It outlines 5 key components: Role, Instructions, Steps, End Goal, and Narrowing. Each element serves a specific purpose in guiding the AI to produce relevant and focused outputs.

The Role section emphasizes the importance of clearly defining ChatGPT's persona, which dictates the tone and depth of the responses. This clarity ensures that the AI aligns with the user's expectations and context. Instructions follow, where detailed guidance is provided on how to approach the task at hand. This step is crucial for setting the parameters of engagement.

Steps outline a chronological breakdown of the problem-solving process, ensuring that the AI follows a logical progression. The End Goal specifies the desired outcome, which is essential for measuring the effectiveness of the interaction. Finally, the Narrowing component introduces constraints that help filter out unnecessary information, refining the focus of the output.

Case examples illustrate the practical application of the RISEN framework. For instance, using ChatGPT for competitive analysis involves directing it to assess market strengths and weaknesses, while operational efficiency tasks may require a focus on supply chain processes. Strategy formulation showcases how the framework can guide the AI in crafting comprehensive growth plans.

The prompt example further contextualizes the framework by demonstrating how to engage ChatGPT in developing an entry strategy for a specific market. Overall, the RISEN framework is positioned as a meticulous blueprint that ensures AI outputs are aligned with overarching business objectives, enhancing decision-making processes.




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