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A different approach to market research prompts.

The best prompts for market researchers do more than summarize a transcript. They pull the themes buried across dozens of interviews, flag the quotes that back each one up, and tell you where a survey result actually differs by segment instead of just describing what people said. Market researchers have used AI to speed up this work for a few years now, but most of that speed came from summarizing text and stopped there.

Why generic prompts fall flat for market researchers

A prompt run against a plain transcript only ever sees the words. It cannot tell you that a participant hesitated before answering, that a focus group went quiet when a competitor came up, or that a survey respondent typed “fine, I guess” in a tone that was anything but fine. Researchers end up reading between the lines by hand anyway, which is the exact work the prompt was supposed to remove.

How Speak AI reads your research, not just the words

Speak AI transcribes every interview, focus group, and recorded session in your language, with 100+ supported, and analyzes the recording itself alongside the words: the tone and energy of a respondent, the pacing that signals hesitation, and the visual cues on video sessions. Names, product mentions, sentiment, and recurring themes are extracted into structured fields your prompts can query directly, so a prompt like “show me every mention of price” returns exact quotes with speaker and timestamp, not a paraphrase.

Prompts market researchers actually run

• “Pull the most common complaints and standout praise from this month’s customer feedback.”
• “What themes keep coming up across the last twelve interviews, and where do respondents disagree?”
• “Summarize this focus group: the prevailing opinions, and the reasoning behind them.”
• “Which survey responses differ most by region, and is the difference statistically significant?”
• “Turn these forty pages of qualitative notes into three themes I can present to the client.”
• “Draft an executive brief from this data, focused on what it means for the roadmap.”

From scattered notes to a research report

The result is a research process that builds its own report as it goes. Themes surface automatically instead of being coded by hand at midnight before a deadline. Quotes stay attached to their speaker and timestamp instead of getting copied into a slide with no source. And because sentiment and theme frequency are tracked as structured data, Panele sterowania, które możesz dostosować i oznakować własną marką show how opinion on a product, brand, or campaign moves study over study, not just what one focus group said in isolation. One global market research firm running Olson Zaltman-style metaphor elicitation studies put its interviews through this exact workflow and zaoszczędzili $60K i 950+ godzin, bez zwiększania załogi.

And because research prompts are strongest when they can query everything at once, the same knowledge base is queryable from Claude, ChatGPT, and Cursor through the serwer MCP, and connects to ocena rozmów oraz coaching for teams that also review sales and service calls on the same criteria.