Expert discovery and question design

Office Hours is competing less with ChatGPT on answers, and more on problem framing. In practice, the hard part in primary research is often not summarizing an industry once the topic is known. It is figuring out which buyer, operator, or specialist has the missing piece of context, and which follow up questions will surface it. That makes expert networks valuable as a way to turn vague curiosity into a concrete research plan.

• This is why Office Hours leans into search and matching, not just transcripts. The product is built around helping customers identify the right person and the right line of questioning, then reducing scheduling and compliance friction so that insight can actually be captured.
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• The contrast with Tegus and AlphaSense is useful. Those products are strongest once a user already knows the company, sector, or thesis they want to investigate. Office Hours is positioned earlier in the workflow, where the user still needs help finding the relevant perspective and sharpening the question itself.
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• This also explains why expert judgment stays valuable as AI improves. In B2B user research, diligence, and model evaluation, customers are buying taste, context, and lived experience. That means knowing which detail matters, which answer deserves a follow up, and which adjacent issue has not been considered yet.
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The next step for the category is software that combines AI interviewing with expert discovery and question design. As voice agents become cheap and common, the scarce layer will be access to credentialed experts and the workflow that helps customers ask smarter questions before the interview starts.