answering-sequence-design

name	answering-sequence-design
description	SOP: Design the optimal answering order for sub-questions
version	1.0.0
category	hypothesis-formation
type	sop
campaign	research-question
input	Sub-question list + dependency graph
output	Execution sequence + rationale + parallelization opportunities
dependencies	{"skills":["subagent-spawning"]}

Answering Sequence Design

Design the optimal answering order for sub-questions — based on dependency relationships and resource efficiency.

HARD-GATE

Input must contain: sub-question list + dependency graph (from dependency-mapping).

Pipeline

1. Precondition check: is the dependency graph acyclic
2. Topological sort: determine the basic order based on dependency relationships
3. Parallel grouping: identify sub-questions that can proceed simultaneously
4. Resource optimization: adjust the order considering resource constraints
5. Risk ordering: prioritize high-risk/high-uncertainty items (fail fast)
6. Final sequence: determine the optimal sequence by integrating the above factors
7. Output: execution sequence + phased plan + parallelization opportunities

Output Format

Phase 1 (parallel): [SQ1, SQ3] — no mutual dependencies
Phase 2 (sequential): [SQ2] — depends on SQ1
Phase 3 (parallel): [SQ4, SQ5] — depend on SQ2
Rationale: [why this order is optimal]
Risk note: [which sub-questions, if they fail, will affect subsequent ones]