rapid-triage

name	rapid-triage
description	Strategy: rapid coarse screening — two filtering rounds compress a large set of gaps into a fine-rankable candidate set
version	1.0.0
category	hypothesis-formation
type	strategy
campaign	gap-prioritization
tactics	["scoring-matrix-construction"]
sops	["gap-normalization","importance-scoring","feasibility-scoring","priority-synthesis"]
dependencies	{"tactics":["hypothesis-formation-scoring-matrix-construction"],"sops":["gap-normalization","priority-synthesis"]}

Rapid Triage

Rapid coarse screening: when the number of gaps is very large (50+), first use binary filtering to quickly eliminate obviously unqualified gaps, then lightly score the survivors, compressing the candidate set down to a fine-rankable size.

When to Use

• The number of gaps is very large (50+), making full multi-dimensional scoring of each gap infeasible
• Time or compute resources are limited and a quick preliminary ranking is needed
• As a precursor step to multi-criteria-ranking or portfolio-optimization
• You need to quickly show a team "which gaps are not worth considering"

Thinking Framework

Core principle: don't finely rank garbage. Eliminate first, then fine-rank.

Two filtering rounds:

Round 1: binary filtering (Keep / Drop) Ask three yes/no questions about each gap:

• Is this gap within our research scope? (scope filter)
• Is this gap technically solvable (not a philosophical problem, not an unbounded problem)? (solvability filter)
• Is this gap already being adequately addressed by sufficient recent work? (novelty filter)

Any answer of "no" → Drop. Passing all three → advance to round 2.

Round 2: light scoring (1–3 points, two dimensions) Score surviving gaps on only two dimensions:

• Importance (1–3): a rough estimate of field impact
• Feasibility (1–3): whether progress can be made within 6 months with existing resources

Score = importance × feasibility (max 9 points). Take top-K (K = target fine-ranking count) into the next stage.

Key insight: the three round-1 questions must be answered quickly (no more than 30 seconds per gap); no deep analysis allowed. Speed is the core value of this strategy.

Budget Gate

Tier	Input gap count	Round-1 retention rate	Round-2 output	Final output
S	50–80	≤60%	top-15	Candidate set + elimination-rationale summary
M	81–150	≤50%	top-20	Candidate set + elimination-rationale summary
L	150+	≤40%	top-30	Candidate set + elimination-rationale summary + category statistics

Default Reference Flow

1. Call the gap-normalization SOP: normalize gap format, generate a one-sentence summary for each gap