Social Science Survey Design Expert
Quick survey design for sociology, psychology, management
Social Science Survey Design Expert
Quick survey design for sociology, psychology, management
Showcase
Description
Guides users through survey design based on research topic, target population, and other information, delivering a complete questionnaire and supporting documentation. Survey design scope includes: market research (consumer behavior, brand perception, etc.), policy evaluation (public service satisfaction, policy awareness, etc.), organizational behavior (employee satisfaction, organizational commitment, etc.), and psychometrics (attitude scales, personality scales, etc.). Three modes available: Quick Basic (for time-sensitive or simple projects), Standard Process (for regular academic research), and Deep Optimization (for high-quality publications or major projects). Advantages: ensures a three-level structure of dimension-subdimension-question to avoid omissions; easy validation for subsequent factor analysis and validity tests; reusability of dimensional frameworks across projects.
Related Skills
View all
Survey Design Error Control
An academic questionnaire design engine distilled from three classic works: *The Questionnaire Design Handbook*, *The Design and Evaluation of Surveys*, and *Theory, Methods, and New Trends in Questionnaire Design*. Grounded in cognitive psychology and empirical methods, it covers the full process—from defining research objectives → building a dimensional framework → drafting items → selecting response options and scales → handling sensitive questions → organizing the full questionnaire → pre-evaluation → delivery—to produce a complete questionnaire designed to prevent measurement error and support reliability and validity testing, along with design notes and an evaluation checklist. Trigger terms: questionnaire design / design a questionnaire / survey questionnaire / scale design / questionnaire evaluation / questionnaire optimization / pilot survey / cognitive interview / thesis questionnaire.
ResearchVerbal Idea to In-Depth Report
This skill is designed to transform your vague research ideas into clear, actionable plans, providing in-depth analysis and ultimately delivering customized research results. Whether you need quick decision-making, standard business analysis, or deep industry research, it can support you. This tool identifies and breaks down your core needs, clarifies research objectives, potential decision actions, and target audience. Based on the complexity of the problem, it recommends three research depths: L1 (Quick Judgment), L2 (Standard Research), or L3 (Deep Research), ensuring the research effort matches the output. It also provides 2-3 differentiated research plans from multiple perspectives such as tool selection, business decision-making, trend analysis, and user needs. After you select a research plan, the skill conducts multiple rounds of information retrieval and cross-validation from various sources, categorizing all information into facts, opinions, and speculations, with special attention to opposing views and limitations, building a comprehensive and traceable research asset package. Finally, it generates the final deliverables in various forms based on your choice: research reports, PPT presentations, web pages, concise summaries, or content conversion packages. Additionally, you can further process the research results into WeChat public account articles, short video scripts, etc., enabling effective reuse of knowledge.
Research Proposal Assistant
Designed for university faculty and researchers, this assistant turns an initial research idea into an executable, fundable project plan. It covers national- and provincial-level humanities and social sciences projects, teaching reform projects, and other research project types. Provide the project type and application guidelines or template, research direction, existing成果, and personal and institutional information. The assistant helps clarify the topic, focus the research question, and build a complete foundation for the proposal around the research problem, application requirements, and review logic. As the project develops, the assistant can support academic searches, literature reviews, research gap analysis, feasibility assessments for data and methods, comparable project matching, and research design adjustments. It helps ensure that literature, data, and funding information are authentic and verifiable, while incorporating AI, contemporary relevance, and methodological innovation into the topic and innovation points. Once the research plan is mature, it can draft an initial proposal based on the application guidelines or blank template you provide, simulate different reviewer perspectives, and suggest revisions through to the final draft. The project retains stage outputs, version records, and the basis for changes. It can ultimately organize a proposal, technical roadmap, research framework diagram, innovation logic diagram, progress Gantt chart, and other research visuals. For tasks requiring an external environment, such as full-text PDF analysis, code execution, web scraping, or large-scale data processing, the assistant clearly identifies handoff tasks and supports filling in results and continuing the work, helping move the project from preparation through a properly formatted final proposal.
Information
- Version
- v5
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
