Research Question Refiner
Research Question Refiner
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Description
Gradually narrow broad interests, real-world phenomena, literature leads, or preliminary results into researchable, testable questions. Use an evidence ledger to identify gaps in data, mechanisms, boundaries, method comparisons, and contradiction synthesis; rank candidate questions through hard gates and sensitivity analysis; and develop a minimum viable research design for the top choice.
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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.
WriteAcademic Research Question
• Diagnose candidate topics: Identify overly broad topics, unclear subjects, uncontrolled boundaries, and false novelty before determining whether the topic is ready to be finalized. • Narrow the research scope: Remove nonessential subjects, variables, and objectives to reduce “trying to study everything” to one central question. • Derive the core question: Identify a single research direction based on subject clarity, question sharpness, scope control, and fit with available materials. • Generate a standardized title: Produce one Chinese title aligned with the research question, with an English title and a specific contribution statement when needed. After opening, say: “I have 3 candidate topics and want to submit to a CSSCI journal. Help me finalize the topic.” It will first check the research subject, core question, scope, and practical constraints, then provide a well-supported final research question. If information is insufficient, it will ask follow-up questions instead of forcing a polished title. Suitable for: Researchers with candidate topics who are struggling to choose one / scholars who need to focus quickly before submission / anyone who does not want to be rejected by a reviewer’s one-line criticism that the research question is unclear. ✅ This version has undergone two months of refinement, testing, and iteration.
TRIZ Research Innovation Coach
TRIZ Research Innovation Coach is a system for discovering innovative research problems and generating research topics for academic work. Centered on TRIZ contradiction resolution, the nine-screen method, laws of evolution, resource analysis, and thinking-trap diagnosis, it uses a rigorous AFP-style step-by-step process to transform vague research challenges into clear scientific questions, actionable research plans, and theoretically compelling topic directions. The system also includes dual review by a thinking coach and an academic editor, assessing research subjects, theoretical mechanisms, evidence pathways, methodological fit, and degree of innovation. It helps users overcome common challenges such as “I can’t find an innovation,” “I can only compromise,” and “my methods are limiting me,” while building transferable and reusable innovative thinking skills.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
