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population-gap-detector

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Detects overlooked, underrepresented, weakly resolved, or poorly validated populations and subgroups within a biomedical research area so users can identify more precise and meaningful study populations. Always use this skill when the real question is not just what is under-studied, but which populations, strata, or subgroups are missing, thinly represented, superficially analyzed, pooled without resolution, or insufficiently validated in the current evidence base. Focus on meaningful subgroup gaps rather than generic calls for diversity.

When to use

• detecting overlooked populations
• identifying underrepresented subgroups
• finding weakly resolved populations
• identifying poorly validated subgroups
• distinguishing meaningful subgroup gaps
• auditing subgroup evidence depth
• ranking strongest next-step subgroup focus
• translating subgroup gaps into research directions

When not to use

• direct patient-specific medical advice
• subgroup treatment decisions
• full disease review without subgroup-gap purpose
• inventing subgroup opportunities without evidence mapping
• non-biomedical segmentation
• marketing-style audience analysis
• general topic gap finding

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