hypothesis-formation-scoring-matrix-construction

Business

Tactic: orchestrate multi-dimensional scoring SOPs to build a comprehensive assessment matrix for all gaps

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Scoring Matrix Construction

Orchestrate multiple scoring-dimension SOPs to build a multi-dimensional comprehensive assessment matrix for each gap, serving as the quantitative basis for ranking decisions.

Orchestration Intent

Single-dimension scoring is prone to bias (e.g., ranking purely by "importance" ignores feasibility). This tactic invokes each scoring SOP in parallel or serial, comparing the multiple dimension scores of all gaps within a single matrix, so that priority judgments rest on systematic evidence rather than intuition.

CC selects the number of dimensions to cover based on topic tier; each dimension's scoring is handled by a dedicated SOP; once scoring is complete, CC consolidates the SOP outputs into a single matrix format.

Available SOPs

SOP	Responsibility	When to invoke
importance-scoring	Assess a gap's strategic importance to the field (0-10)	Required for all tiers
feasibility-scoring	Assess the feasibility of attacking a gap with currently available resources/methods (0-10)	Required for all tiers
novelty-scoring	Assess the research novelty and original-contribution potential of a gap (0-10)	Required for all tiers
impact-scoring	Assess the potential citation/application impact of the research output (0-10)	Added at M/L tier
ahrq-picme-assessment	Use the AHRQ PiCMe framework for a structured assessment of clinical/applied gaps	At L tier or when the biomedical/health domain is involved

Orchestration Pattern

Simplified (S tier, 3 dims)

Invoke: importance-scoring, feasibility-scoring, novelty-scoring
Matrix: gaps × 3 dimensions
Execute all SOPs in parallel, consolidate results

Default (M tier, 4 dims)

Invoke: importance-scoring, feasibility-scoring, novelty-scoring, impact-scoring
Matrix: gaps × 4 dimensions
Execute the first 4 SOPs in parallel, consolidate results

Deep (L tier, 5 dims + PiCMe)

Invoke: all 5 SOPs
Matrix: gaps × 5 dimensions + PiCMe structured-assessment appendix
Execute the first 4 SOPs in parallel first, PiCMe serially after (depends on domain confirmation)

Minimum Yield

Complete matrix: every gap × every dimension has a score filled in (no blanks)
Each scoring cell carries a 1-2 sentence scoring rationale
The matrix includes a weighted-total column (equal weights by default, unless weights are provided upstream)
Output format: Markdown table + a scoring-summary paragraph for each gap

Yield Report

After execution, report to the calling strategy:

Number of gaps covered / number of scoring dimensions
Score distribution (highest/lowest/median)
The dimension with the largest scoring variance (for sensitivity-testing to perturb first)
Scoring confidence: which gaps have sufficient evidence and which need supplementary literature

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
ahrq-picme-assessment	SOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions
feasibility-scoring	SOP: assess the attackability of a research gap, identify bottlenecks, and output a feasibility score
hypothesis-formation-novelty-scoring	SOP: Assess the novelty potential of a research gap, identify differentiation directions, and output a score
impact-scoring	SOP: assess the potential impact of a research gap, identify beneficiaries and output an impact score
importance-scoring	SOP: assess the academic and practical importance of a research gap, output a 1-5 score with rationale