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Key Concepts Explained

Cross-Study AI Analysis: This feature allows you to ask questions that span across multiple studies, letting the AI analyze and compare findings from different research projects. Think of it as having a research assistant that can instantly review all your transcripts and provide insights. Study Selection: You can choose which specific studies to include in your analysis, giving you control over the scope of your research. This is helpful when you want to compare specific cohorts or time periods. Processing Time: Unlike instant features, this AI analysis takes time to thoroughly review transcripts and generate comprehensive answers. The system needs to process potentially hours of interview data to provide meaningful insights.

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Pro Tips

  • Be specific with your requests: Ask for structured output like “please structure it in bullet points or a table” to get more organized, actionable results
  • Launch and multitask: Since processing takes time, start your query and work on other tasks while the AI analyzes your data
  • Ask comparative questions: This feature excels at finding differences and similarities between user groups or study cohorts
  • Provide context in your questions: The more background and specificity you give, the more relevant and useful the AI’s analysis will be

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Quick Reference

  • Access: Navigate to “Talk to Your Data” from your dashboard
  • Study Selection: Use the dropdown to select which studies to include
  • Question Format: Natural language questions work best
  • Processing: Analysis can take several minutes to hours depending on data volume
  • Output: Results include structured insights, comparisons, and direct quote references

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Complete Written Guide

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

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Step 1: Navigate to Talk to Your Data

Access the “Talk to Your Data” feature from your Conveo dashboard. This is your central hub for AI-powered cross-study analysis.

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Step 2: Select Your Studies

Use the study selection dropdown to choose which research projects you want to include in your analysis. You can select:
  • Individual studies for focused analysis
  • Multiple studies for comparative insights
  • All studies for comprehensive overview

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Step 3: Craft Your Question

Type your question in natural language. The AI works best with:
  • Specific, focused questions
  • Requests for structured output (bullet points, tables, categories)
  • Comparative queries (differences between groups)
  • Context about what you’re looking for
Example: “What are the key differences that the study surfaced between users and non-users of cannabis? Please structure it in bullet points or a table.”

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Step 4: Launch and Wait

Click to submit your question and be patient. The AI needs time to:
  • Review all selected transcripts
  • Identify relevant patterns and themes
  • Structure findings according to your request
  • Cross-reference insights across studies

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Step 5: Review Your Results

Once processing is complete, you’ll receive structured insights that may include:
  • Key similarities between groups
  • Important differences and contrasts
  • Supporting quotes from transcripts
  • Organized findings in your requested format

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Best Practices

Before You Start:
  • Have a clear research question in mind
  • Consider which studies are most relevant to your inquiry
  • Think about how you want the results formatted (bullets, tables, categories)
While Working:
  • Start your query early in your workflow since it takes time
  • Use specific language and provide context for better results
  • Don’t hesitate to ask follow-up questions based on initial results
Quality Control:
  • Validate AI insights by checking them against your original research objectives
  • Cross-reference findings with individual interview transcripts for accuracy
  • Consider multiple queries from different angles to get comprehensive insights
  • Save important findings for future reference and follow-up studies
Anything missing? Let us know at [email protected] and we’ll help you out!