Lack of first-hand information

This feature addresses situations where users cannot rely on direct, first-hand details when making decisions. It helps users clearly identify what is unknown and proceed with more transparent, informed next steps.

Lack of first-hand information describes a scenario where a user must evaluate a topic without direct observation, direct experience, or primary-source confirmation. The feature focuses on making this limitation explicit so users understand what is known versus what is assumed. It encourages users to separate verified details from second-hand or incomplete information. It supports decision-making by clarifying the confidence level of available inputs and highlighting where gaps may affect outcomes. Users can apply it when documenting requirements, summarizing situations, or communicating constraints to stakeholders. It is especially useful in cross-team contexts where information is passed through multiple people and may lose accuracy. By surfacing missing first-hand inputs, users can prioritize follow-up questions and reduce the risk of misunderstanding. It also helps teams set expectations by explaining why a recommendation may be tentative or conditional. Typical use cases include incident reviews, project planning, vendor evaluations, and any case where direct validation is not currently possible.