dongjian-insight

To turn a complex research question into a testable insight, reconstruct the real prompt, surface hidden premises, and build a mechanism stack across micro, meso, and macro levels. This structured approach ensures your analysis yields clear, testable predictions.

Mechanism-based analysis explains how a phenomenon operates across micro, meso, and macro levels to produce testable predictions. You need it for theory development, research topic evaluation, and policy analysis when superficial descriptions are insufficient.

Evaluating research topics requires reconstructing the real question behind the text and revealing hidden premises. By building a mechanism stack and steelmanning the strongest objection, you provide a rigorous, boundary-defined critique.

Yes, you can use this mechanism stack approach for organizational analysis across disciplines. It reconstructs questions, states clear boundaries, and provides action criteria, making it applicable to varied analytical contexts.

The best way to structure analysis and self-score rigor is through an eight-step workflow that compresses insights into 1-3 sentences, provides testable predictions, and benchmarks the output against a reference rubric to guide revision.

The limitation of this eight-step workflow is its focus on disciplined, mechanism-rich insights, which may compress complex policy nuances into 1-3 sentences. It requires clearly stating boundaries to avoid overgeneralizing testable predictions.