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Core Philosophy of Cognitive Models

Make the chaotic world clear, predictable, and controllable. By mastering proven mental models and structured thinking tools, enhance complex problem-solving abilities, achieve cognitive upgrades and decision optimization.

Structured Thinking Models

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SWOT Analysis

Strategic Analysis Tool

Model Structure

Strengths

Internal positive factors, resources and capability advantages the organization possesses

Weaknesses

Internal negative factors, weak points the organization needs to improve

Opportunities

External positive factors, favorable conditions and trends in the environment

Threats

External negative factors, risks that may affect goal achievement

Application Scenarios

Personal career planning, project feasibility analysis, business strategy formulation, competitive environment assessment and other decision scenarios.

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PDCA Cycle

Continuous Improvement Tool

Cycle Steps

Plan

Identify problems, develop improvement plans and goals

Do

Implement according to plan, collect execution process data

Check

Compare actual results with expected goals, analyze differences

Act

Solidify successful experiences, improve shortcomings, enter next cycle

Application Value

Project management, quality improvement, personal growth, learning optimization and other scenarios requiring continuous iteration.

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MECE Principle

Problem Decomposition Framework

Core Elements

ME - Mutually Exclusive

No overlap between parts, avoid double counting

CE - Collectively Exhaustive

All parts together make the whole, no missing elements

Application Examples

Complex problem breakdown, market segmentation analysis, cost structure analysis, time management classification and other scenarios requiring systematic thinking.

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SMART Goals

Goal Setting Framework

Goal Elements

S - Specific

Goals are clear and specific, not vague or abstract

M - Measurable

Have quantitative indicators, can measure progress

A - Achievable

Match actual capabilities, have achievability

R - Relevant

Related to larger goals, have practical significance

T - Time-bound

Have clear completion time milestones

Application Scenarios

Personal goal setting, project planning, team management, performance evaluation and other scenarios requiring clear goals.

Multi-Mental Model Library

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Problem-Solving Models

For systematic solution of technical challenges and complex problems

TRIZ Contradiction Matrix

Theory of Inventive Problem Solving

Core Principle: TRIZ is the theory of inventive problem solving. By analyzing the evolution patterns of technical systems, it provides systematic innovation methods. The contradiction matrix is its core tool for resolving technical contradictions.

Application Method: Identify technical contradictions (improving one parameter causes another to deteriorate), find corresponding position in 39Γ—39 contradiction matrix, get recommended inventive principles, guide innovative solution design.

Practical Cases: Product design improvement, engineering technical challenges, process optimization, system performance enhancement and other scenarios requiring breakthrough of technical bottlenecks.

MECE Tree Diagram

Structured Analysis

Decomposition Principle: Decompose complex problems hierarchically according to MECE principle, forming tree structure. Each level must be mutually exclusive and collectively exhaustive, ensuring analysis logic and completeness.

Construction Method: Start from problem root, decompose layer by layer downward, sub-nodes under each node must satisfy MECE principle. Visually show problem structure through tree diagram, facilitate systematic analysis.

Applicable Scenarios: Business process organization, problem root cause analysis, market research planning, knowledge system construction and other complex problems requiring structured thinking.

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Decision Optimization Models

For option evaluation and decision quality improvement

Decision Matrix

Multi-Criteria Decision Analysis

Construction Steps: List all optional plans, determine evaluation criteria, assign weights to each criterion, score each plan under each criterion, calculate weighted total score, select highest scoring plan.

Scoring Techniques: Use 1-10 scale for quantitative evaluation, maintain scoring criteria consistency, consider quantitative and qualitative factors, conduct sensitivity analysis when necessary to verify decision stability.

Typical Applications: Career choices, supplier selection, investment plan evaluation, product feature priority ranking and other decision scenarios requiring comprehensive multiple factors.

Reverse Thinking

Predicting Failure Scenarios

Thinking Transformation: Instead of asking "how to succeed," ask "how to fail," then avoid factors leading to failure. Predict risks in advance, develop preventive measures.

Implementation Method: List all possible failure causes, analyze probability and impact of each failure, develop corresponding prevention and response measures, establish risk monitoring mechanisms.

Value Demonstration: Project risk management, investment decisions, entrepreneurship planning, important life choices and other high-risk decision scenarios, helping improve decision success rates.

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Creative Inspiration Models

For creative stimulation and innovative thinking

SCAMPER Innovation Method

Creative Thinking Tool
S - Substitute

What can be substituted? Materials, people, processes, places etc.

C - Combine

Can it be combined with other elements? Mix, integrate, unite

A - Adapt

Can it be adapted for other uses? Borrow, imitate, adjust

M - Modify

Can it be enlarged or reduced? Exaggerate, emphasize, change

P - Put to other use

Are there other uses? New application methods

E - Eliminate

Can something be removed? Simplify, reduce, delete

R - Reverse/Rearrange

Can it be rearranged? Reverse, invert, reorder

Application Process

Select innovation object β†’ apply SCAMPER seven techniques one by one β†’ record all ideas β†’ evaluate and filter feasible solutions β†’ further optimize and improve. Suitable for product innovation, service improvement, workflow optimization and other innovation scenarios.

Analogical Reasoning

Cross-Domain Learning

Learning Mechanism: Find similar structures, processes or principles from different domains, transfer successful experiences to current problems. Discover new solution ideas and innovation directions through analogy.

Implementation Strategy: Analyze essential characteristics of problems, seek similar cases in other domains, extract transferable core principles, adaptively transform and apply to target scenarios.

Classic Cases: Biomimetics (learning from nature), business model innovation (cross-industry learning), management method transfer (from sports, military to enterprise) and other cross-domain innovation applications.

Learning Application Mechanisms

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Model Transfer Training

Training Method

Weekly select 1 life scenario (like "how to make children actively do homework"), use at least 3 mental models to design solutions. Through multi-model comparison, deepen understanding of each model's characteristics and applicable scenarios.

Practice Cases

Scenario: Improve Work Efficiency
  • SWOT Analysis: Analyze personal work capability strengths/weaknesses, identify environmental opportunities/threats
  • PDCA Cycle: Develop efficiency improvement plan, execute verification, continuous improvement
  • MECE Decomposition: Break down work efficiency problems into time management, focus, tool usage dimensions

Training Effects

Through repeated practice, cultivate multi-angle thinking habits, enhance comprehensiveness and depth of problem analysis, strengthen flexibility and accuracy of model application.

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Cognitive Bias Correction

Bias Identification

Create "Common Logical Fallacies Checklist" posted at desk, check against it when encountering arguments. Establish cognitive bias self-check mechanism, improve thinking quality.

Common Cognitive Biases
Confirmation Bias

Only seeking information supporting one's views, ignoring contrary evidence

Anchoring Effect

Over-relying on initial information obtained, affecting subsequent judgments

Availability Heuristic

Making judgments based on information accessibility rather than accuracy

Survivorship Bias

Only focusing on success cases, ignoring failure cases

Correction Strategies

Actively seek contrary evidence, delay judgment time, solicit different viewpoints, establish decision review mechanisms, gradually improve thinking objectivity and accuracy.

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Mind Map Evolution

Evolution Path

Upgrade from "flat mind maps" to "three-dimensional dynamic brain maps" (recommend MindMeister), strengthen systematic thinking ability. Enhance thinking three-dimensionality and dynamics through visualization tools.

Tool Features

Multi-dimensional Display

Support three-dimensional presentation of timelines, hierarchical relationships, causal chains

Dynamic Interaction

Nodes can expand/collapse, support drilling and zooming, convenient for complex thinking organization

Collaborative Sharing

Support multi-person collaborative editing, facilitate team thinking collision and knowledge co-construction

Application Scenarios

Complex project planning, knowledge system construction, meeting minutes organization, study note creation and other scenarios requiring structured thinking organization.

Efficient Learning Methodology

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Feynman Learning Method Implementation

Implementation Plan

After learning each knowledge point, record explanation videos in language elementary students can understand (publish on TikTok/Xiaohongshu). Test your understanding level by teaching others, discover knowledge blind spots.

Operation Steps

1. Choose Concept

Select knowledge point or concept to learn

2. Simple Explanation

Explain in simplest language to laypeople

3. Identify Problems

Find unclear explanations, go back to re-learn

4. Simplify Language

Reorganize with more concise and clear language

Dual Benefits

Both improve learning effects and accumulate content creation materials, forming positive cycle of learning-output-monetization.

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Immersive Learning Method

Flow State

Force entry into "flow state." Flow state is a psychological state of high investment, enjoyment and immersion when focusing on certain activities. In this state, people forget time passage and surrounding environment, completely invest in what they're doing.

Focus Training

Can improve focus through meditation, deep breathing exercises. Spend 10-15 minutes daily on meditation practice, focus on breathing. When distracting thoughts appear, gently bring attention back to breathing. Long-term persistence helps improve focus, making it easier to enter flow state.

Flow State Trigger Conditions
Clear Goals

Set clear specific learning objectives

Immediate Feedback

Establish timely learning effect feedback mechanisms

Skill Match

Task difficulty matches personal ability

Distraction-free Environment

Create focused learning environment

Training Plan

Gradually extend focus time, starting from 15 minutes, gradually increasing to 2-3 hours. Combined with Pomodoro Technique, find optimal rhythm between focus and rest.