market-research-platform

Integration with market research platforms and survey tools for primary and secondary research

509 stars

Best use case

market-research-platform is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Integration with market research platforms and survey tools for primary and secondary research

Teams using market-research-platform should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/market-research-platform/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/marketing/skills/market-research-platform/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/market-research-platform/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How market-research-platform Compares

Feature / Agentmarket-research-platformStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Integration with market research platforms and survey tools for primary and secondary research

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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
```javascript
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)

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