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Report Chat lets you interact with your research data through natural conversation. Ask questions, explore topics, and uncover insights beyond what’s in the standard report.

What Is Report Chat?

Report Chat is an AI-powered interface that:
  • Answers questions about your data
  • Provides custom analysis on demand
  • Helps you explore findings deeper
  • Generates insights for specific questions
Think of it as having a research analyst who’s read every response and can answer any question about your data.

How to Use Report Chat

1

Open Report Chat

Navigate to the Analysis tab and find the Chat feature.
2

Ask a Question

Type your question in natural language.
3

Review the Response

The AI analyzes your data and provides an answer with supporting evidence.
4

Follow Up

Ask additional questions to go deeper or explore related topics.

Types of Questions to Ask

Exploratory Questions

Understand broad patterns:
  • “What are the main reasons people are dissatisfied?”
  • “What themes emerge in the feedback about pricing?”
  • “How do different age groups feel about the brand?”

Specific Inquiries

Get targeted answers:
  • “How many people mentioned sustainability?”
  • “What do people say about the mobile app experience?”
  • “Are there differences between Panel A and Panel B?”

Comparative Questions

Understand differences:
  • “How do satisfied vs. dissatisfied customers differ?”
  • “What distinguishes heavy users from occasional users?”
  • “How does perception vary by region?”

Summary Requests

Get concise overviews:
  • “Summarize the key concerns about the new feature”
  • “What are the top 3 recommendations from participants?”
  • “Give me a quick overview of brand perception”

Effective Questions

Be Specific

Less EffectiveMore Effective
”What do people think?""What do people think about our customer service?"
"Tell me about the data""What are the main themes in open-ended responses?"
"Anything interesting?""What unexpected findings emerged about price sensitivity?”

Ask One Thing at a Time

Instead of:
“What do people think about the price, quality, and how does that compare to competitors and what should we do about it?”
Try:
“What do people think about the price?” (then) “How does this compare to perceptions of quality?” (then) “What do people say about competitors’ pricing?”

Reference Specific Topics

The AI understands your study context:
  • Reference specific questions by topic
  • Mention particular segments or panels
  • Ask about specific products or features studied

Understanding Responses

Response Structure

Chat responses typically include:
  • Direct answer: The main finding
  • Supporting evidence: Data or quotes backing it up
  • Context: Any caveats or nuances
  • Citations: Links to source responses

Following Up

After each response, you can:
  • Ask for more detail
  • Request specific examples
  • Explore a related topic
  • Challenge or verify the finding

Example Conversation

You: “What are the main barriers to purchase?” AI: “The three main barriers identified are: (1) price concerns, mentioned by 35% of respondents; (2) uncertainty about quality, especially among non-customers; (3) lack of awareness of key features. For example, one respondent said…” You: “Tell me more about the price concerns” AI: “Price concerns focus on two areas: initial cost and value for money. Many respondents felt the product was priced higher than alternatives without clear differentiation…” You: “How do current customers view the price vs. non-customers?” AI: “Interesting distinction: current customers generally feel the price is justified once they experience the product. Non-customers, however…”

Best Practices

Start broad, then narrow. Begin with general questions, then follow up on interesting areas.
Verify important claims. For key insights, click through to the original responses to verify.
Ask for examples. Request specific quotes or examples to understand the human perspective.
Explore contradictions. Ask about conflicting responses or minority viewpoints.

What Report Chat Can’t Do

Limitations

  • Can’t access data not in your study
  • Won’t generate fictional responses
  • May not have perfect accuracy on all claims
  • Can’t make business decisions for you

When to Verify

Always verify:
  • Statistics and percentages cited
  • Key quotes used in decisions
  • Findings that seem surprising
  • Anything going into external reports

Conversation Tips

Starting a Session

Good opening questions:
  • “What are the key findings from this study?”
  • “What surprised you most about the responses?”
  • “What are the main themes in the qualitative data?”

Diving Deeper

Follow-up patterns:
  • “Tell me more about…”
  • “What evidence supports…”
  • “How do X and Y compare…”
  • “Are there any counterexamples to…”

Wrapping Up

Closing questions:
  • “Summarize the main insights for [stakeholder type]”
  • “What are the most actionable findings?”
  • “What questions remain unanswered?”

Common Questions

Conversation history is typically maintained during your session. Check your platform for persistence features.
You can usually copy responses. Check sharing features in your platform.
The AI only answers based on your actual data. If no one addressed a topic, it can’t answer questions about it.
Yes, and you may get similar (but not identical) responses. The AI generates fresh responses each time.

Next Steps