survey-design-administration
Develop survey instruments, implement sampling strategies, optimize response rates, and manage multi-mode data collection
Best use case
survey-design-administration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Develop survey instruments, implement sampling strategies, optimize response rates, and manage multi-mode data collection
Teams using survey-design-administration 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/survey-design-administration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How survey-design-administration Compares
| Feature / Agent | survey-design-administration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Develop survey instruments, implement sampling strategies, optimize response rates, and manage multi-mode data collection
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.
SKILL.md Source
# Survey Design and Administration Skill Develop survey instruments, implement sampling strategies, and manage data collection for population-based research. ## Overview The Survey Design and Administration skill enables development of survey instruments, implementation of sampling strategies, optimization of response rates, and management of multi-mode data collection for rigorous population-based social science research. ## Capabilities ### Questionnaire Design - Question construction - Response scale design - Question ordering - Skip logic implementation - Cognitive testing ### Sampling Methods - Probability sampling - Stratified sampling - Cluster sampling - Multi-stage sampling - Non-probability alternatives ### Response Optimization - Contact strategies - Incentive design - Follow-up procedures - Non-response analysis - Weighting adjustments ### Multi-Mode Administration - Web survey design - Phone survey protocols - Mail survey procedures - Mixed-mode strategies - Mode effect assessment ### Quality Control - Data cleaning - Response validation - Item non-response handling - Bias assessment - Documentation standards ## Usage Guidelines ### When to Use - Collecting population data - Measuring attitudes/behaviors - Conducting needs assessments - Evaluating programs - Testing hypotheses ### Best Practices - Pilot test instruments - Document procedures - Monitor response rates - Address non-response - Archive data properly ### Integration Points - Psychometric Assessment skill - Quantitative Methods skill - Research Ethics and IRB skill - Mixed Methods Integration skill ## References - Survey Research Design process - Survey Administration process - Scale Development and Validation process - Survey Research Director agent
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