Hello OpenAI team,

I’d like to share a product design proposal called Contextual Observation.

The idea addresses a small but important gap in the current conversational AI interaction model: the moment when a user is curious and wants to explore, but does not yet know what question to ask.

This is especially relevant during first use. A person may open ChatGPT with curiosity but without knowing what an AI assistant can do, what is worth asking, or how to formulate an effective prompt. The blank input field can therefore create a subtle friction point: the system is ready to respond, but the user does not yet know how to begin.

The same friction can appear later in a conversation, when the user reaches a natural pause or senses that there is something interesting within the discussion but cannot identify what to ask next.

Contextual Observation proposes a small, voluntary interaction that allows the user to ask ChatGPT to briefly observe the available context and surface one meaningful perspective.

The important point is that this is not a proposal for a new AI capability. The model can already perform this task through prompting.

It is a proposal for a new interaction pattern that makes an existing capability discoverable and accessible precisely at a moment where the current interface leaves a friction point.

In simple terms:

Questions ask the AI to answer an intention.
Contextual Observation helps the user discover the next intention.

The interaction is intentionally constrained: user-initiated, brief, contextual, non-prescriptive and integrated directly into the existing conversation.

I’ve attached a concise product proposal explaining the interaction, the first-use friction it addresses, the context hierarchy, UX principles and the boundaries intended to preserve user control and simplicity.

I’d be very interested to hear how a product, UX or research team at OpenAI might evaluate this interaction pattern.

Thank you for taking the time to consider it.