TRIZ-Academic Problem Discovery v2.0
14 TRIZ Core Tools · 1+4 Matrix Architecture
Description
The core dilemma researchers face when selecting a topic is often not 'having no problems,' but 'not seeing the real problem.' TRIZ-Academic Problem Discovery v2.0 uses the AFP 3.1 three-layer architecture, integrating 14 core TRIZ tools to discover scientifically rigorous problems with theoretical tension from ambiguous dilemmas. Core Capabilities: 1. 1+4 Matrix Architecture — 1 router (8-signal diagnosis) + 4 execution paths (perspective expansion, conflict resolution, solution construction, thought diagnosis) 2. Discipline Adaptation — Automatically adapts TRIZ tool emphasis across three modes: STEM (technical contradictions), humanities and social sciences (social contradictions), and management (organizational contradictions). 3. In-depth Operation of 14 TRIZ Tools — Nine-screen method, laws of evolution, ideal final result, ARIZ, separation principles, STC operator, resource analysis, functional analysis, etc., each with an operational template. 4. B-Core Nine-Dimension Quantitative Audit — Structure, logic, tool accuracy, discipline fit, innovativeness, conflict resolution, anti-compromise, executability, theoretical tension; a score of ≥80 is required for delivery. 5. Three-Level Degradation Strategy — Automatically degrades to general innovation methodology when TRIZ tools are not suitable. Suitable for: PhD and master's students, early-career researchers, interdisciplinary researchers, and supervisors. Supports both Chinese and English.
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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.
STEM PhD Topic Diagnostician
Already have a PhD dissertation topic but unsure whether it is rigorous, innovative, and feasible? This Skill is designed to diagnose existing topics—not randomly generate topics from scratch or merely polish the wording. It breaks down the research subject, core variables, mechanisms, outcome measures, and research boundaries in your topic. Based on the Chinese and English literature, experimental foundation, samples, methods, equipment, timeline, and budget you provide, it assesses the topic’s rigor, novelty, and feasibility, while identifying risks such as “innovation” based only on changing materials, confounded variables, insufficient evidence for the proposed mechanism, an uncontrolled sample matrix, and chapters that cannot build progressively. The final output is a STEM PhD Topic Health Check Report, which clearly recommends whether to: retain the topic with minor adjustments; retain the research subject while strengthening its dimensions; retain the research problem and reconstruct the subject; or stop patching and redesign the topic. It is intended for STEM PhD students in food science, chemistry, materials science, biology, basic medical sciences, environmental science, agriculture, energy, and engineering. It is especially useful for those preparing a proposal defense, revising a topic at an advisor’s request, who have already defended their proposal but lack a clear central thread, or who have existing experiments but are unsure whether they can support an entire PhD dissertation.
ResearchProject Proposal Expert v3.0
From vague ideas to logically rigorous application materials, even ordinary technical personnel can complete a 10,000-word argumentation report in 2 hours. Core Features: Eliminate empty language in applications: automatically strip out filler words like 'high-level' and 'significantly improved', use SCQA framework + Pyramid Principle to write quantified, logically rigorous arguments. Accurately identify innovation patterns: automatically analyze project characteristics, match three modes (autonomous originality, integrated innovation, iterative micro-innovation), give compatibility score and recommendation, avoid failure due to mispositioned innovation. Prevent logic gaps in argumentation: exclusive 'five elements + three chapters' structured output method, from project rationale to innovation points tightly linked, master 10,000-word deep report + high-definition technology roadmap. Zero experience required: no idea? Just input a one-sentence project idea (e.g., 'want to make a quantum sensor for gas leak detection'), system automatically completes 6 phases, outputs complete application materials. Usage: Open the dialogue box and directly input your project idea or upload existing materials; the system will guide you through the entire process: information collection → innovation mode selection → brief argumentation generation → full report generation → technology roadmap generation. Each phase has a confirmation mechanism, and you can flexibly exit and iterate. About V3.2: The new V3.2 version integrates five methodologies: SCQA framework, SMART principles, Pyramid Principle, Comparison-Difference-Advantage method, and Three-Dimensional Value method. It has been refined through real-world cases in quantum detection, smart elderly care, energy management, and other fields, locking in the underlying logic of research proposal success—an essential tool for successful project applications! Application scenarios: ✅ National Natural Science Foundation applications ✅ Provincial/municipal science and technology plan projects ✅ Enterprise technology innovation project initiation ✅ Graduate thesis proposal writing ✅ Technology achievement transformation plan design Core advantages: 🎯 Efficiency increase by 10x: from 2-3 weeks to 2-3 hours 📊 Quality professional guarantee: quantified indicators, rigorous logic, prominent innovation points 🔄 Flexible and controllable: each phase can be confirmed, modified, or exited 📈 Validated by real cases: successfully generated multiple 10,000-word deep reports Typical output examples: ✅ 10,000-word deep argumentation report ✅ High-definition technology roadmap ✅ Structured brief argumentation ✅ SCQA diagnostic analysis report ✅ Innovation mode compatibility assessment
TRIZ-Academic Problem Discovery v2.0
14 TRIZ Core Tools · 1+4 Matrix Architecture
Description
The core dilemma researchers face when selecting a topic is often not 'having no problems,' but 'not seeing the real problem.' TRIZ-Academic Problem Discovery v2.0 uses the AFP 3.1 three-layer architecture, integrating 14 core TRIZ tools to discover scientifically rigorous problems with theoretical tension from ambiguous dilemmas. Core Capabilities: 1. 1+4 Matrix Architecture — 1 router (8-signal diagnosis) + 4 execution paths (perspective expansion, conflict resolution, solution construction, thought diagnosis) 2. Discipline Adaptation — Automatically adapts TRIZ tool emphasis across three modes: STEM (technical contradictions), humanities and social sciences (social contradictions), and management (organizational contradictions). 3. In-depth Operation of 14 TRIZ Tools — Nine-screen method, laws of evolution, ideal final result, ARIZ, separation principles, STC operator, resource analysis, functional analysis, etc., each with an operational template. 4. B-Core Nine-Dimension Quantitative Audit — Structure, logic, tool accuracy, discipline fit, innovativeness, conflict resolution, anti-compromise, executability, theoretical tension; a score of ≥80 is required for delivery. 5. Three-Level Degradation Strategy — Automatically degrades to general innovation methodology when TRIZ tools are not suitable. Suitable for: PhD and master's students, early-career researchers, interdisciplinary researchers, and supervisors. Supports both Chinese and English.
Related Skills
View allTRIZ 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.
STEM PhD Topic Diagnostician
Already have a PhD dissertation topic but unsure whether it is rigorous, innovative, and feasible? This Skill is designed to diagnose existing topics—not randomly generate topics from scratch or merely polish the wording. It breaks down the research subject, core variables, mechanisms, outcome measures, and research boundaries in your topic. Based on the Chinese and English literature, experimental foundation, samples, methods, equipment, timeline, and budget you provide, it assesses the topic’s rigor, novelty, and feasibility, while identifying risks such as “innovation” based only on changing materials, confounded variables, insufficient evidence for the proposed mechanism, an uncontrolled sample matrix, and chapters that cannot build progressively. The final output is a STEM PhD Topic Health Check Report, which clearly recommends whether to: retain the topic with minor adjustments; retain the research subject while strengthening its dimensions; retain the research problem and reconstruct the subject; or stop patching and redesign the topic. It is intended for STEM PhD students in food science, chemistry, materials science, biology, basic medical sciences, environmental science, agriculture, energy, and engineering. It is especially useful for those preparing a proposal defense, revising a topic at an advisor’s request, who have already defended their proposal but lack a clear central thread, or who have existing experiments but are unsure whether they can support an entire PhD dissertation.
ResearchProject Proposal Expert v3.0
From vague ideas to logically rigorous application materials, even ordinary technical personnel can complete a 10,000-word argumentation report in 2 hours. Core Features: Eliminate empty language in applications: automatically strip out filler words like 'high-level' and 'significantly improved', use SCQA framework + Pyramid Principle to write quantified, logically rigorous arguments. Accurately identify innovation patterns: automatically analyze project characteristics, match three modes (autonomous originality, integrated innovation, iterative micro-innovation), give compatibility score and recommendation, avoid failure due to mispositioned innovation. Prevent logic gaps in argumentation: exclusive 'five elements + three chapters' structured output method, from project rationale to innovation points tightly linked, master 10,000-word deep report + high-definition technology roadmap. Zero experience required: no idea? Just input a one-sentence project idea (e.g., 'want to make a quantum sensor for gas leak detection'), system automatically completes 6 phases, outputs complete application materials. Usage: Open the dialogue box and directly input your project idea or upload existing materials; the system will guide you through the entire process: information collection → innovation mode selection → brief argumentation generation → full report generation → technology roadmap generation. Each phase has a confirmation mechanism, and you can flexibly exit and iterate. About V3.2: The new V3.2 version integrates five methodologies: SCQA framework, SMART principles, Pyramid Principle, Comparison-Difference-Advantage method, and Three-Dimensional Value method. It has been refined through real-world cases in quantum detection, smart elderly care, energy management, and other fields, locking in the underlying logic of research proposal success—an essential tool for successful project applications! Application scenarios: ✅ National Natural Science Foundation applications ✅ Provincial/municipal science and technology plan projects ✅ Enterprise technology innovation project initiation ✅ Graduate thesis proposal writing ✅ Technology achievement transformation plan design Core advantages: 🎯 Efficiency increase by 10x: from 2-3 weeks to 2-3 hours 📊 Quality professional guarantee: quantified indicators, rigorous logic, prominent innovation points 🔄 Flexible and controllable: each phase can be confirmed, modified, or exited 📈 Validated by real cases: successfully generated multiple 10,000-word deep reports Typical output examples: ✅ 10,000-word deep argumentation report ✅ High-definition technology roadmap ✅ Structured brief argumentation ✅ SCQA diagnostic analysis report ✅ Innovation mode compatibility assessment
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