Sell better with AI
Summary
This article introduces a narrative-based approach to human decision-making, asserting that individuals primarily make important choices by constructing and favoring specific stories. It challenges the notion of purely rational decision-making, highlighting that most significant decisions, from hiring to personal choices, are driven by underlying narratives rather than simple cost-benefit analyses. The author proposes that to influence someone, one must craft a compelling story in which the desired outcome is embraced. The article then addresses the limitations of current AI "digital twin simulations" for persuasion, which often produce overly rational and unrealistic models. It offers a "megaprompt" designed to help AI create a more human-like digital twin by interviewing the user, modeling the target person's decision-making story, and identifying their deeper narrative to generate concrete influence strategies, including better framings and language.
Key takeaway
For AI Product Managers developing persuasion tools, recognize that generic "digital twin" simulations fail because humans are not purely rational. Your focus should shift to AI models capable of understanding and generating narrative-driven influence strategies. Implement systems that interview users to build a target's decision-making story, surfacing deeper narratives to create more effective and human-centric persuasion prompts.
Key insights
Human decisions are primarily narrative-driven, requiring compelling stories to influence outcomes.
Principles
- Influence requires making the "yes" story appealing.
- Rationality rarely drives important human decisions.
Method
The proposed method involves using a "megaprompt" to train AI to build a human-like digital twin by modeling a target's decision-making story and underlying narrative, then generating influence strategies.
In practice
- Use AI to model a target's decision-making story.
- Craft narratives that align with a person's existing story.
Topics
- AI for Sales
- Narrative Decision-Making
- Digital Twin Simulations
- Influence Megaprompt
- Human-Centric AI
Best for: Prompt Engineer, AI Product Manager, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI + IQ.