Key Concepts Explained

AI Design Assistant: Think of this as your research partner. It helps you build your study by suggesting questions, objectives, and improvements based on your research goals. You’re always in control - you can accept, decline, or modify any suggestions. Topic Guide Structure: Your guide has three main parts:
  • Research Briefing: The overall context and goals
  • Research Objectives: What you want to learn (usually 3-5 objectives)
  • Questions: Specific questions for each objective

Pro Tips

  • Start with context: The more background you give the AI, the better its suggestions will be
  • Use the prompt box: You can ask for anything - “make this question multi-select” or “add more follow-ups”
  • Follow-up settings matter: This controls how much the AI will probe after each question. More follow-ups = deeper insights but longer interviews
  • Context box is private: What you write here guides the AI but isn’t shown to participants

Quick Reference

Question Types:
  • Open-ended: Best for exploratory research
  • Single select: When you want one clear answer
  • Multi-select: When multiple answers are possible
Follow-up Levels:
  • None: Just the main question
  • Limited: 1-2 follow-ups
  • Extensive: Deep probing for rich insights

Complete Written Guide

If you prefer to read or want a reference, here’s the complete step-by-step process:

Step 1: Access the Dashboard

  1. Log into your Conveo account
  2. You’ll see the main dashboard with:
    • Prompt box at the top for communicating with the AI
    • Study summary at the bottom showing your drafted and completed studies

Step 2: Start Your Topic Guide

  1. Click the prompt box and describe what you want to research
  2. You can provide context in two ways:
    • Upload documents (PDFs, Word docs, etc.)
    • Type directly in the text area
  3. Click “Send” to start working with the AI design assistant

Step 3: Review Research Briefing

The AI will automatically generate:
  • Study title based on your research description
  • Research briefing with overall context and goals
  • Review and accept/decline these suggestions as needed

Step 4: Set Research Objectives

  1. The AI will suggest research objectives for your study
  2. You can:
    • Accept all suggestions
    • Accept some and decline others
    • Manually edit any objective
  3. Typically aim for 3-5 clear, focused objectives

Step 5: Create Questions

  1. For each research objective, the AI will generate relevant questions
  2. You can:
    • Use the prompt box to ask for specific types of questions
    • Accept/decline individual questions
    • Manually edit questions as needed

Step 6: Configure Question Settings

For each question, you can set: Question Type:
  • Open-ended: Participants provide free-form answers
  • Single select: Multiple choice with one answer allowed
  • Multi-select: Multiple choice with multiple answers allowed
Stimuli (optional):
  • Add images, videos, or Figma designs
  • Include links for UX testing
  • Upload documents for reference
Follow-up Configuration:
  • None: Just ask the main question
  • Limited: 1-2 follow-up questions
  • Extensive: Deep probing for rich insights
  • Automatic: Let the AI decide based on context
Context Box (important):
  • Write background information for the AI moderator
  • This guides how the AI will probe and follow up
  • Note: This is private and not shown to participants

Step 7: Fine-tune Your Guide

  1. Use the prompt box to make changes:
    • “Make question 3 multi-select”
    • “Add more follow-ups to objective 2”
    • “Change the study title to be more specific”
  2. The AI will propose changes that you can accept or decline

Step 8: Configure Study Settings

  1. Language Settings:
    • Set participant-facing languages
    • Choose reporting language
  2. Study Presentation:
    • Add a study title participants will see
    • Write an introduction brief for participants

Best Practices

Before You Start:
  • Have a clear research goal in mind
  • Gather any relevant documents or materials
  • Think about your target participants
While Building:
  • Start with broad context, then get specific
  • Use the prompt box liberally - the AI can handle complex requests
  • Don’t worry about perfection - you can always edit later
Question Design:
  • Mix question types for variety
  • Use open-ended questions for exploratory research
  • Use single/multi-select for specific feedback
  • Set follow-up levels based on how deep you want to go
Quality Control:
  • Test your topic guide with colleagues before launching to catch unclear questions
  • Review the AI’s question suggestions critically - accept what works, modify what doesn’t
  • Ensure your research objectives align with your overall business or research goals
  • Check that follow-up settings match your time constraints and depth requirements

Anything missing? Let us know at [email protected] and we’ll help you out!