Often, a user doesn't know exactly what to ask for. They might have a general need but are unaware of the key features or specifications that they should be looking for. This is the classic "I don't know what I don't know" problem.

With a standard search tool, this ambiguity leads to poor outcomes. A vague query like "I need a good camera" will return generic, unhelpful results. This wastes the user's time, makes the research process feel overwhelming, and may cause them to abandon the task altogether.

Maven is designed to handle ambiguity intelligently. Instead of returning poor results for a vague query, it recognizes the need for more information and pivots to a clarification dialogue. It effectively says, "I can help with that, but first, tell me more."

It then initiates a conversation, asking targeted, easy-to-answer questions to help the user build a better query. For example, it might ask, "What is your approximate budget?", "Will you be shooting photos, videos, or both?", or "Is portability and size a key factor for you?". This interactive approach helps the user articulate their own needs.