Answer Leveling is a technique to coax AI chatbots like ChatGPT into giving deeper, more interesting responses beyond their default answers.
Chatbots provide basic answers based on the perceived user expertise, typically at a beginner to intermediate level, unless signaled otherwise.
By utilizing Answer Leveling, users can prompt AI to provide more detailed, thoughtful responses, enhancing the depth of information and analysis received.
Different levels of prompts can lead to varied responses in terms of complexity and insights provided by the AI chatbot, from basic to advanced solutions.
Level 1 prompts elicit generic yet practical approaches to scenarios, such as defusing conflicts and promoting teamwork within a Scrum team.
Level 2 prompts encourage deeper exploration, focusing on underlying dynamics, systemic views, and strategies like Nonviolent Communication for conflict resolution.
Level 3 prompts challenge AI chatbots to suggest advanced techniques like working with inner team dynamics, archetypes, deep democracy, Gestalt therapy, and process work.
Answer Leveling can unlock insights into realms such as Jungian psychology, Gestalt Therapy, narrative transformation, and more, pushing the boundaries of AI responses.
This technique can be implemented for diverse queries, not limited to Scrum Master responsibilities, enhancing the quality and depth of AI-generated information.
Answer Leveling serves as a valuable tool for obtaining richer responses from AI chatbots by simply requesting more detailed answers without complex engineering.