Writing Better Prompts: Making the Most of AI Moderation in QualBoard

In this Article

• Start with a Clear Research Topic
• Define Specific Research Goals
• Use Neutral Language
• Avoid Multi-Part Questions
• Example: Strong Prompts for a CPG Study 
• The Bottom Line

Start with a Clear Research Topic

Your research topic tells the AI what the study is about and provides the context it needs to guide the conversation. The clearer your topic, the easier it is for the AI moderator to interpret participant responses and ask relevant follow-up questions.

When defining your topic, it helps to use simple, direct language and structured bullet points rather than long paragraphs. Clear instructions reduce ambiguity and help the AI stay aligned with your research objectives.

A strong research topic allows the AI to:

• Contextualize each question
• Detect relevant keywords in participant responses
• Choose meaningful follow-up questions when probing is enabled

Avoid:

• Topics that are too broad (for example, “Snacks”)
• Topics that are overly complex or difficult to interpret

Aim for:

• A clear area of exploration, including specific behaviors or features you’re investigating
• A topic that highlights the insights your team hopes to uncover
• Language that is simple enough for anyone on the team to understand quickly

Define Specific Research Goals

Once your topic is set, your research goals help guide the AI toward the actionable outcomes.

In QualBoard, the goals you define directly influence how the AI moderator probes participant responses. Clear goals help the AI stay focused on the purpose of the research and avoid asking irrelevant follow-up questions.

Strong research goals are:

• Learning-oriented, using language such as understand, learn, explore, or identify
• Clearly scoped and explicit about the insight needed
• Neutral to reduce bias in the AI’s follow-up questions

Well-written goals give the AI a framework for interpreting responses and deciding what areas deserve deeper exploration.

Use Neutral Language

Just like with traditional qualitative moderation, neutrality matters.

Leading questions can unintentionally push participants toward a particular response, which can bias your insights. When writing prompts, avoid language that assumes a specific opinion or outcome.

For example, instead of asking:

“What did you like about this product?”

Try asking:

“What was your experience using this product?”

Neutral prompts create space for participants to share honest perspectives and allow the AI moderator to probe responses more objectively.

Avoid Multi-Part Questions

Multi-part prompts can overwhelm participants and make responses harder for the AI moderator to interpret.

For example, a question like:

“How often do you use this product, why do you use it, and what would you change about it?”

asks participants to respond to several topics at once.

Instead, separate the question into individual prompts:

• How often do you use this product?
• What usually motivates you to use it?
• If you could change one thing about it, what would it be?

Breaking questions into smaller parts makes it easier for participants to respond thoughtfully and allows the AI moderator to follow up naturally.

Example: Strong Prompts for a CPG Study

Below is an example of how a research topic and goals might look when setting up an AI-moderated study in QualBoard.

Research Topic

Understanding consumer habits and preferences related to everyday household cleaning products.

Research Goals

• Identify common cleaning routines and triggers for product usage
• Evaluate unmet needs or frustrations with current cleaning solutions
• Explore how consumers assess the effectiveness of cleaning products
• Understand what factors influence product switching or trial behavior

This structure gives the AI moderator clear direction on what the study is about and how to probe participant responses.

The Bottom Line

AI Moderation in QualBoard is designed to scale qualitative research without sacrificing depth. But the quality of the conversation still depends on the direction you provide.

A well-crafted research topic and thoughtful set of goals give the AI moderator the context it needs to ask smarter questions, probe more effectively, and uncover deeper data.

With the right prompts in place, AI Moderation becomes a powerful way to gather meaningful qualitative insights quickly, flexibly, and at scale.