Mindset and dissection mechanics are useless without tools. This chapter equips you with three weapons that turn 16 mental models into automated research output. Copy-paste ready.
Each row = 1 paper processed in 20 minutes.
| Property | Type | Maps To | Fill Time |
|---|---|---|---|
| Date | Date | Timestamp | 5s |
| Title | Title | Paper title | 10s |
| Field | Select (STEM/SocSci/Humanities/Education) | Context layer | 5s |
| Status | Select (Pending/Done/Migrated/Archived) | Processing state | 5s |
| I-Core | Text | “Problem→Finding→Sequence” | 3min |
| A1-Link | Rich Text | [[Note]]↔[[Physics]] |
5min |
| A2-Action | Multi-select (Topic/Review/Method) MAX 3 | Action extraction | 8min |
| A3-Tags | Multi-select (★★★/❓/📈) | Prioritization | 2min |
| Background | Text | Field context | 30s |
| PainPoint | Text | Specific gap | 30s |
| Architecture | Text | Study framework | 1min |
| Data | Text | Sample/variables | 1min |
| Steps | Text | 3-step process | 1min |
| Assumption | Text | Hidden premises | 1min |
| Summary | Text | 3–5 bullets | 1min |
| Insight | Text | Mindset shift | 1min |
| Rebuild | Text | “I’d redesign as...” | 1min |
| GroundTerms | Multi-select (Theory/Method/Data) | Consensus extraction | 30s |
| NextWeek | Text | Follow-up reading | 30s |
OutputScore = length(A2-Action) // 0-3 points
MigrationScore = if(empty(A1-Link), 0, 1)
TotalROI = OutputScore + MigrationScore
Three-tier system processes 20 scans → 3 deep reads weekly:
Level 1: CORE JOURNALS (your 3 field-defining pubs)
├── EDUCATION-Computers&Education
├── EDUCATION-BritishJournalEdTech
└── AI-JournalEdTechSociety
Level 2: PROCESSING STATE
├── SCAN-20min → PENDING
├── DEEP-1hr → PROCESSING
└── EXTRACTION-20min → DONE
Level 3: MENTAL MODEL ACTIVATION
├── #Atomic1 → Needs decomposition
├── #CrossDomain2 → Bridge potential
├── #Rebuild3 → Research idea spark
└── #Ground10 → Consensus gold