For fostering deep inquiry, some prompting techniques that excel include:

  1. Chain of Thought (CoT): This method allows for breaking down a complex topic step-by-step, which helps in thorough exploration. It prompts the AI to think logically and systematically.
  2. Tree of Thought (ToT): Useful for considering multiple perspectives, this approach generates a range of paths or solutions, leading to a deeper understanding.
  3. Reflective Prompting: Encourages self-examination of the content or thought process, helping refine understanding and find gaps in reasoning.
  4. Scenario Prompting: Establishing a scenario helps contextualize questions and create a more engaging inquiry. It’s especially good for critical thinking or real-world applications.
  5. Persona Prompting: Using personas to gain insights from different fields, this method helps inquire from various expert angles, promoting rich and diverse insights.
  6. Meta-Prompting: Using a prompt to analyze previous answers or generate further questions based on insights helps expand inquiry beyond an initial question.
  7. Branching Method: This approach helps explore related areas and sub-topics by encouraging a branching network of inquiries, leading to broader and interconnected understanding.
  8. Role Method: Assigning roles in the inquiry can help simulate different viewpoints or fields of expertise, deepening the inquiry with specialized knowledge.
  9. Constraint-Based Prompting: By restricting or adding conditions, this encourages creative thinking and deeper exploration within boundaries.
  10. Recursive Inquiry: A deep, repeated questioning technique that continuously digs deeper into answers to uncover fundamental principles or hidden assumptions.

These methods are ideal for inquiry because they emphasize thorough exploration, multiple perspectives, and iterative thinking. Depending on your specific goal, you could use a mix of these techniques to encourage a deeper and more effective inquiry.

Which of these approaches resonates with your goals the most? I can help you craft prompts around them if you'd like.

Here are definitions for the concepts you mentioned, with concrete examples based on the provided document:

Scenario

A Scenario in prompt engineering refers to a specific context or situation in which the AI is given background information to set the stage for a response. It could involve immersing the AI in high-stakes contexts or detailed environments, making it generate responses aligned with the emotions, stakes, and nuances of the scenario.

Example: "Imagine you are a diplomat negotiating peace between two conflicting nations. How would you start the discussion?"

This prompt helps guide the AI into adopting a specific tone and style that aligns with the scenario's gravity .

Practical Use