Data Synthesis

Data Synthesis helps you analyze research data and transform it into actionable insights using AI.

Overview

Data Synthesis is designed for:

• Competitive analysis — Compare competitors systematically
• User research synthesis — Find patterns across interviews
• Market analysis — Understand industry trends
• Feature analysis — Evaluate feature opportunities

Creating an Analysis

New Analysis

1. Navigate to Research → Data Synthesis
2. Click + New Analysis
3. Choose an analysis type:
   • Competitive Analysis
   • User Research
   • Market Analysis
   • Feature Analysis
4. Enter a title and description

Analysis Types

Competitive Analysis

Compare your product against competitors:

• Feature comparison matrices
• Pricing analysis
• Positioning maps
• Strengths and weaknesses

User Research

Synthesize findings from user interviews:

• Pattern identification
• Pain point clustering
• Need prioritization
• Persona refinement

Market Analysis

Understand your market landscape:

• Trend identification
• Market sizing
• Opportunity mapping
• Risk assessment

Feature Analysis

Evaluate feature opportunities:

• Impact vs effort matrices
• User value assessment
• Technical feasibility
• Priority recommendations

Working with Analyses

Adding Data Sources

Link research to your analysis:

1. Open your analysis
2. Click + Add Source
3. Select from:
   • Research Notes
   • Knowledge Notebooks
   • External links
   • Manual input

AI-Powered Synthesis

Once you've added sources:

1. Click Synthesize with AI
2. Molley analyzes all connected sources
3. Generates insights, patterns, and recommendations
4. Review and refine the output

Manual Editing

Combine AI synthesis with your expertise:

• Edit generated content
• Add your own insights
• Reorganize sections
• Include custom visualizations

Analysis Status

Track progress through status:

Status	Description
Draft	Work in progress
Processing	AI is analyzing
Completed	Analysis finished

Collaboration

Sharing Analyses

Share with your team:

• All analyses are visible to team members
• Add comments and feedback
• Track who contributed

Export Options

Export for presentations or reports:

• PDF — Formatted document
• Markdown — Plain text format
• Slides — Presentation-ready format

AI Context

When synthesizing data, Molley AI considers:

• Your company profile and goals
• Your project's target audience
• Existing features and roadmap
• Industry context

This means insights are tailored to your specific situation, not generic recommendations.

Best Practices

1. Quality Sources

Better input = better output:

• Use detailed research notes
• Include diverse perspectives
• Add quantitative data when available

2. Iterative Refinement

Don't expect perfection on first try:

• Review AI output critically
• Add your domain expertise
• Re-synthesize with additional context

3. Connect to Action

Link insights to outcomes:

• Create feature ideas from findings
• Update your product wiki
• Inform marketing strategy

4. Regular Updates

Keep analyses current:

• Add new research as it comes in
• Re-run synthesis periodically
• Archive outdated analyses

Example Workflow

Competitive Analysis Example

1. Gather sources

   • Competitor websites
   • Product reviews
   • Industry reports
   • User feedback

2. Create analysis

   • Select "Competitive Analysis"
   • Link all sources
   • Add specific questions to answer

3. Run synthesis

   • AI analyzes all sources
   • Generates comparison matrix
   • Identifies gaps and opportunities

4. Refine and act

   • Review AI findings
   • Add your insights
   • Create feature ideas from gaps
   • Update product strategy

Next Steps

• Feature Ideas — Turn insights into features
• Product Wiki — Document your strategy
• Research Notes — Capture more research