interview-me

Clarify user intent by engaging in iterative questioning that explores needs step-by-step. This approach uses targeted questions to define goals precisely, validating assumptions through direct interaction with each refinement.

Iterative questioning refines dialogue-based learning by guiding users through a series of targeted questions. It validates assumptions and progressively deepens the understanding of user intent with each step.

Assess user confidence by encouraging users to quantify their certainty in initial requests. This confidence-based validation ensures request clarity and measures how well expectations align with defined needs.

Hypothesis testing validates assumptions by requiring an initial hypothesis about user intent. It refines understanding through direct interaction, testing expectations against user responses to achieve precise intent clarification.

No dependencies are required to start the intent refinement process. You begin by providing your initial hypothesis and confidence level about the user's intent to activate the step-by-step exploration.

Avoid using iterative questioning when user requests already possess high clarity and depth. This approach is designed specifically for cases lacking precision, so applying it to clear requests adds unnecessary conversational friction.