Research Question Identifiability and Design Feasibility Review
Test whether a research question can be answered with the proposed design, population, variables, data and estimand, separating repairable gaps from fatal limitations.
Category
Prompts for literature reviews, source checks, interview planning, research questions, evidence tables, and synthesis workflows.
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Test whether a research question can be answered with the proposed design, population, variables, data and estimand, separating repairable gaps from fatal limitations.
Cross-check hypotheses, outcomes, exclusions, power assumptions, models, multiplicity controls and decision rules before data inspection, with deviations made explicit.
Build and stress-test a qualitative codebook using traceable excerpts, rival interpretations, coder disagreement, positionality and documented adjudication.
Inspect a research package for data provenance, licensing, environment, code, seeds, dependencies and expected outputs, separating reproduced evidence from inaccessible work.
Determine whether cited evidence remains current and authoritative after corrections, retractions, updates, superseding guidance, or changed decision conditions.
Decide whether preliminary research is mature enough to inform a policy or operating decision, with bounded claims, reversible use, and monitoring conditions.
Audit consequential claims from current citation back to original source evidence, documenting where provenance breaks, mutates, or overstates authority.
Decide whether an existing systematic review needs an update and define the safest bounded scope before committing review resources.
Design reproducible review screening and extraction with explicit eligibility, conservative deduplication, independent decisions, provenance, appraisal, and reconciled flow reporting.
Analyze a regulatory or policy change into cited business impact, obligations, deadlines, affected workflows, evidence gaps, and legal review actions.
Extract key claims, figure evidence, methodology limits, citations, and practical implications from technical research papers.
Monitor an emerging trend with current cited sources, evidence quality checks, signal-vs-hype analysis, implications, and watchlist updates.