ai-training/.cursor/skills/research/steps/04_engine-analysis.md

Research Engine — Analysis Phase (Steps 4–8)

Step 4: Build Comparison/Analysis Framework

Based on the question type, select fixed analysis dimensions. For dimension lists (General, Concept Comparison, Decision Support): Read references/comparison-frameworks.md

Save action: Write to 03_comparison_framework.md:

# Comparison Framework

## Selected Framework Type
[Concept Comparison / Decision Support / ...]

## Selected Dimensions
1. [Dimension 1]
2. [Dimension 2]
...

## Initial Population
| Dimension | X | Y | Factual Basis |
|-----------|---|---|---------------|
| [Dimension 1] | [description] | [description] | Fact #1, #3 |
| ... | | | |

---

Step 5: Reference Point Baseline Alignment

Ensure all compared parties have clear, consistent definitions:

Checklist:

• Is the reference point's definition stable/widely accepted?
• Does it need verification, or can domain common knowledge be used?
• Does the reader's understanding of the reference point match mine?
• Are there ambiguities that need to be clarified first?

---

Step 6: Fact-to-Conclusion Reasoning Chain

Explicitly write out the "fact → comparison → conclusion" reasoning process:

## Reasoning Process

### Regarding [Dimension Name]

1. **Fact confirmation**: According to [source], X's mechanism is...
2. **Compare with reference**: While Y's mechanism is...
3. **Conclusion**: Therefore, the difference between X and Y on this dimension is...

Key discipline:

• Conclusions come from mechanism comparison, not "gut feelings"
• Every conclusion must be traceable to specific facts
• Uncertain conclusions must be annotated

Save action: Write to 04_reasoning_chain.md:

# Reasoning Chain

## Dimension 1: [Dimension Name]

### Fact Confirmation
According to [Fact #X], X's mechanism is...

### Reference Comparison
While Y's mechanism is... (Source: [Fact #Y])

### Conclusion
Therefore, the difference between X and Y on this dimension is...

### Confidence
✅/⚠️/❓ + rationale

---
## Dimension 2: [Dimension Name]
...

---

Step 7: Use-Case Validation (Sanity Check)

Validate conclusions against a typical scenario:

Validation questions:

• Based on my conclusions, how should this scenario be handled?
• Is that actually the case?
• Are there counterexamples that need to be addressed?

Review checklist:

• Are draft conclusions consistent with Step 3 fact cards?
• Are there any important dimensions missed?
• Is there any over-extrapolation?
• Are conclusions actionable/verifiable?

Save action: Write to 05_validation_log.md:

# Validation Log

## Validation Scenario
[Scenario description]

## Expected Based on Conclusions
If using X: [expected behavior]
If using Y: [expected behavior]

## Actual Validation Results
[actual situation]

## Counterexamples
[yes/no, describe if yes]

## Review Checklist
- [x] Draft conclusions consistent with fact cards
- [x] No important dimensions missed
- [x] No over-extrapolation
- [ ] Issue found: [if any]

## Conclusions Requiring Revision
[if any]

---

Step 8: Deliverable Formatting

Make the output readable, traceable, and actionable.

Save action: Integrate all intermediate artifacts. Write to OUTPUT_DIR/solution_draft##.md using the appropriate output template based on active mode:

• Mode A: templates/solution_draft_mode_a.md
• Mode B: templates/solution_draft_mode_b.md

Sources to integrate:

• Extract background from 00_question_decomposition.md
• Reference key facts from 02_fact_cards.md
• Organize conclusions from 04_reasoning_chain.md
• Generate references from 01_source_registry.md
• Supplement with use cases from 05_validation_log.md
• For Mode A: include AC assessment from 00_ac_assessment.md