Using consumer research to test needs for AI products

Start with the task rather than a feature list

Ask when people encounter the problem, how they handle it today and what a helpful outcome would look like. Establish those needs before deciding whether an AI feature is appropriate. Liking a concept does not, by itself, show that someone will use it in a daily task.

Bring expressed needs and context together

Surveys can explore needs and concerns. Consented behavioral research can add the sequence and circumstances of actual use. Where they differ, review question wording, observation dates and coverage. A single trial or comment is not evidence that all potential users will accept the product.

Turn findings into questions that can be examined

Replace a broad ambition such as being smarter with a specific question: can people understand a suggestion, identify the next step or continue when something goes wrong? Define the audience and study conditions, then decide what the next study needs to observe or ask. This keeps research connected to a product decision.

Keep research outputs and permissions distinct

Receiving research findings does not mean access to participants’ raw records or automatic model-training rights. Each study should explain consent, agreed purposes and available deliverables. Discuss the research question and approach without assuming that a data subscription or general-purpose interface is available.