Automatic Question Detection: How OLVA Helps During Live Calls

Questions are high-leverage moments

In many meetings, the most important moments arrive as questions. A buyer asks whether a product supports a workflow. A candidate asks about team process. A stakeholder asks for a timeline. A manager asks what changed since the last update.

OLVA is built to recognize these moments while the conversation is happening. Automatic question detection helps the assistant know when the user may need an answer, supporting context, or coaching.

Why automatic detection matters

Without automatic detection, a user has to stop listening, type a question, search a document, or prompt an assistant manually. That breaks attention at exactly the moment attention matters most.

With OLVA, the assistant can detect that a question was asked and prepare help in the background. The user can stay present in the meeting while OLVA generates useful support.

What OLVA can use as context

OLVA can use the live transcript and, when available, attached documents or uploaded materials. This document-aware workflow helps answers stay grounded in the information the user actually wants to reference, such as product notes, pricing guidance, onboarding material, sales docs, or implementation details.

Useful in many meeting types

Automatic question detection is valuable for sales calls, demos, interviews, customer success sessions, support escalations, product discovery, and internal reviews. In each case, the user benefits from knowing that important questions are being noticed and supported.

OLVA does not replace judgment. It gives professionals a faster way to respond with context, confidence, and memory while the meeting is still live.