Unlock Insights with neuratrial

Maximize Insights: Ask Better Questions

Thoughtfully framed questions lead to precise, actionable insights.

Best Practices

  • Be Specific: Provide trial phases, demographics, or regions.
    Example: "What factors contribute to high dropout rates in cardiovascular trials among patients over 65?"
  • Break It Down: Split complex questions into smaller parts.
    Example: "What are the key differences in patient engagement strategies for rare disease trials in urban vs. rural areas?"
  • Use Follow-Ups: Build on prior insights for deeper analysis.
    Example: "Are there any recent studies comparing patient compliance rates in Phase II oncology trials using wearable monitoring devices?"
  • Request Specific Formats: Ask for tables, summaries, or structured outputs.
    Example: "Provide a comparison table of treatment outcomes for diabetes trials conducted in 2020 vs. 2023."

Common Pitfalls

  • Making Assumptions: Don't expect the AI to infer missing details.
    Tip: Specify trial type, demographics, or region.
    Example: "How does patient compliance affect trial outcomes? Include trial phase, condition, or duration."
  • Providing Incomplete Input: Avoid vague queries like 'What is this data?'

    Example: ""

Why Context Matters

Context ensures precise, relevant, and actionable AI responses, improving your outcomes.

Avoid Ambiguity

Generic questions like "How does compliance impact trials?" often lead to incomplete answers.

Refine Insights

Include trial phases, demographics, or conditions to narrow the scope of the response.

Improve Accuracy

Context helps the AI filter vast datasets for precise and relevant insights.

Ask Smarter Questions

Leverage these tips to receive more accurate and meaningful insights.

Stay on Track During Long Conversations

Learn how to maintain context and focus for productive discussions.

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