home / skills / a5c-ai / babysitter / market-research-platform

This skill helps design, deploy, and analyze market research surveys by integrating Qualtrics, Prolific, and analytics tools for actionable insights.

npx playbooks add skill a5c-ai/babysitter --skill market-research-platform

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SKILL.md
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---
name: market-research-platform
description: Integration with market research platforms and survey tools for primary and secondary research
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: marketing
  domain: business
  category: Market Research
  skill-id: SK-001
  dependencies:
    - Qualtrics API
    - SurveyMonkey API
    - Panel provider APIs
---

# 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)

Overview

This skill integrates with market research platforms and survey tools to run primary and secondary research end-to-end. It supports survey design, panel management, advanced research methods, and analysis workflows to produce actionable marketing insights. The skill is built to automate deployment, quota control, and reporting across platforms like Qualtrics, SurveyMonkey, Prolific, and MTurk.

How this skill works

The skill orchestrates study setup by composing platform-specific survey configurations, sample definitions, and quota rules, then deploys to panel providers and monitoring services. It collects and validates responses, applies statistical analysis or external tools (SPSS, R), and generates cross-tabs, visualizations, and executive summaries. Workflow hooks allow integration into persona development, voice-of-customer programs, and brand-tracking pipelines.

When to use it

  • Launching a large-scale quantitative survey that requires quota management and panel coordination
  • Running specialized research like conjoint, MaxDiff, or diary studies with automated setup
  • Automating repeated brand-tracking waves with benchmarking and prior-wave comparisons
  • Recruiting and managing focus groups or in-depth interview schedules
  • Collecting high-quality primary data for customer segmentation and persona development

Best practices

  • Define clear research questions and success criteria before building the survey
  • Prioritize sample and respondent quality over speed to preserve actionable results
  • Keep surveys concise and use screening and branching to reduce respondent fatigue
  • Use established statistical methods and external analysis tools for validity
  • Pre-register quotas and checks to ensure sample match and high data quality

Example use cases

  • Brand health tracking: deploy quarterly waves with consistent questions and benchmarks
  • Product concept testing: run MaxDiff and conjoint experiments to prioritize features
  • Customer segmentation: collect representative samples and produce cross-tab segments
  • Qualitative recruitment: source and schedule focus groups and in-depth interviews
  • Voice-of-customer programs: integrate survey results into ongoing VoC dashboards

FAQ

Which platforms does the skill support?

It supports major survey and panel platforms such as Qualtrics, SurveyMonkey, Prolific, and MTurk, with integrations for deployment, quotas, and respondent screening.

Can the skill handle longitudinal or tracking studies?

Yes. It manages tracking configurations, prior-wave comparisons, benchmarks, and consistent question sets for longitudinal analysis.