Market Research Platform Skill

Overview

The Market Research Platform skill provides integration with market research platforms and survey tools for conducting primary and secondary research. This skill enables comprehensive research design, deployment, and analysis for marketing insights.

Capabilities

Survey Design

• Qualtrics survey design and deployment
• SurveyMonkey campaign management
• Survey logic and branching
• Question library management
• Mobile-optimized surveys

Panel Management

• Panel provider integrations (Prolific, MTurk)
• Sample size calculation
• Quota management
• Panel quality monitoring
• Respondent screening

Advanced Research

• Conjoint analysis setup
• MaxDiff analysis configuration
• Focus group recruitment and scheduling
• In-depth interview coordination
• Diary study management

Analysis and Reporting

• Statistical analysis (SPSS, R integration)
• Survey response analysis and reporting
• Cross-tabulation and segmentation
• Data visualization
• Executive summaries

Usage

Survey Configuration

const surveyConfig = {
  platform: 'Qualtrics',
  study: {
    name: 'Q1 2026 Brand Health Study',
    type: 'brand-tracking',
    methodology: 'quantitative'
  },
  sample: {
    size: 1000,
    panel: 'Prolific',
    criteria: {
      geography: 'United States',
      age: '25-54',
      demographics: 'nationally-representative'
    },
    quotas: {
      gender: { male: 50, female: 50 },
      region: { northeast: 20, south: 35, midwest: 22, west: 23 }
    }
  },
  survey: {
    estimatedLength: '12 minutes',
    sections: ['screener', 'awareness', 'perception', 'usage', 'nps', 'demographics'],
    branching: true,
    randomization: true
  },
  analysis: {
    tracking: true,
    priorWaves: ['Q4-2025', 'Q3-2025'],
    benchmarks: 'industry-standard'
  }
};

Process Integration

Process	Integration Points
customer-segmentation-analysis.js	Research execution
customer-persona-development.js	Persona research
voice-of-customer-program.js	VoC studies
brand-health-assessment.js	Brand tracking

Best Practices

1. Clear Objectives: Define research questions before designing
2. Sample Quality: Ensure representative, quality samples
3. Survey Length: Keep surveys focused and respondent-friendly
4. Statistical Rigor: Use appropriate analysis methods
5. Actionable Insights: Focus on findings that drive decisions

Metrics and KPIs

Metric	Description	Target
Response Rate	Survey completion rate	>70%
Data Quality	Responses passing quality checks	>95%
Sample Match	Demographics matching quotas	Within 5%
Insight Utilization	Research findings used in decisions	High

Related Skills

• SK-002: Competitive Intelligence (market analysis)
• SK-004: Brand Tracking (brand research)
• SK-020: Journey Mapping (customer research)