Tier 4

qaf - Question Analysis Framework

Question Analysis Framework

Overview

This framework provides methods for analyzing questions to determine:

  1. Which questions are foundational (answering them unlocks other answers)
  2. Which questions already have rigorous answers in existing research
  3. Which questions can be answered deductively vs empirically
  4. How questions depend on each other (DAG structure)
  5. What analysis methods produce answers with high confidence

When to Use

  • When facing many questions and unsure where to start
  • When analyzing philosophical or complex conceptual questions
  • During RCI when you’ve generated many causal chains
  • When determining which assumptions to investigate first
  • Before committing resources to answering a question

Output Format

answer_documentation: "## Answer: [The question]\n\n**Certainty Level**: [level] (guessing:\
  \ [0-1])\n\n**Derivation**:\n- Premise 1: [statement] (certainty: [level])\n- Premise\
  \ 2: [statement] (certainty: [level])\n- \u2234 Conclusion: [statement]\n\n**Remaining\
  \ Uncertainty**: [what's still unknown]\n"
dependency_graph: "## Question Dependencies\n\nROOT QUESTIONS:\n- Q1: [question]\n\
  - Q2: [question]\n\nDEPENDENCY CHAINS:\nQ3 depends on \u2192 Q1, Q2\nQ4 depends\
  \ on \u2192 Q3\n...\n"
question_classification: '## Question: [The question]


  | Dimension | Level | Implication |

  |-----------|-------|-------------|

  | Foundationality | [1-5] | [What this means] |

  | Prior Art | [1-5] | [Action to take] |

  | Verifiability | [1-5] | [Method to use] |

  | Tractability | [1-5] | [Approach] |

  | Position | [type] | [Priority] |


  **Priority Score**: [calculated]

  **Recommended Action**: [what to do next]

  '

Depth Scaling

Default: 2x. Parse depth from $ARGUMENTS if specified (e.g., “/qaf 4x [input]”).

DepthMin Questions AnalyzedMin Dependencies MappedMin Foundation QuestionsMin Resolution Paths
1x5311
2x8522
4x12833
8x181255
16x251887

These are floors. Go deeper where insight is dense. Compress where it’s not.