Research & Recuitment Operations

Discussion Guide

Discussion Guide

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Qualitative insights at the speed of your business

Conveo automates video interviews to speed up decision-making.

Definition:

A discussion guide is the foundational planning document for qualitative research, used in moderator-led interviews, focus groups, and AI-moderated sessions to structure the conversation without over-scripting it. A well-designed discussion guide balances research objectives with conversational flow, grouping questions into logical sections that move from broad context-setting to specific probes. In research operations, the quality of a discussion guide directly affects the depth and usability of findings. Poorly constructed guides produce shallow responses; well-constructed ones surface the motivations, tensions, and language that stakeholders need to make confident decisions. Discussion guide design is a core skill in qualitative methodology, requiring clear thinking about what the business actually needs to learn.

How Conveo Does It

Conveo uses AI-powered interview design to generate a discussion guide from a research brief or business objective in roughly 30 minutes. Researchers review and refine the guide before launch, and Conveo's AI interviewer then conducts real video interviews with real participants, not synthetic respondents, adapting its probing based on what each person actually says. Studies move from setup to usable findings in days, at enterprise scale across 50-plus languages.

Frequently asked questions.
A discussion guide is a structured document that outlines the questions, topics, and follow-up probes a moderator or AI interviewer uses during a qualitative session. It is not a rigid script. Instead, it provides a logical flow that keeps the conversation on track while allowing participants to respond in their own words. A strong discussion guide reflects clear research objectives and is sequenced to build rapport before moving into more specific or sensitive territory.
The discussion guide is where research quality is either built or lost. If the questions are leading, too narrow, or poorly sequenced, the responses will reflect those flaws regardless of how skilled the moderator is. A well-designed guide ensures that every session covers the same core territory, making cross-participant analysis more reliable. It also signals to stakeholders that the research was designed with rigor, which matters when findings are used to support significant business decisions.
A survey questionnaire is designed for scale and consistency, with fixed response options that can be tabulated across large samples. A discussion guide is designed for depth, using open-ended questions and adaptive probes to explore the reasoning behind responses. Surveys tell you what people chose; a discussion guide helps you understand why they chose it. The two serve different purposes, and substituting one for the other typically produces either shallow qual or unanalyzable quant.
AI is accelerating discussion guide development significantly. Platforms can now draft a guide from a research brief in minutes, drawing on established qualitative frameworks to structure questions appropriately. More importantly, AI-moderated interviews can use the guide dynamically, probing based on what a participant actually says rather than following a fixed sequence. This produces richer responses than a static script allows, while still ensuring the core research objectives are covered consistently across every session.
Enterprise teams usually start with a research brief that defines the business question, target audience, and key learning areas. A researcher then translates those objectives into a discussion guide, typically organized into sections covering warm-up, context, core topics, and closing. The guide goes through internal review before fieldwork begins. In practice, teams often reuse and adapt guides across related studies, which is why having a searchable library of prior guides and findings is a meaningful operational advantage over time.
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