nina-research-decomposition

To break down a vague research prompt, decompose it into decision questions, sub-questions, and an evidence plan before gathering sources. This structured decomposition defines the scope, sets evidence standards, and clarifies the intended final deliverable for strategic and exploratory asks.

A research decomposition framework transforms broad prompts into a structured plan by defining decision questions, evidence criteria, and synthesis structure. It establishes source buckets and expected deliverables, guiding structured, decision-focused research to ensure high-quality outcomes for underspecified market asks.

Plan evidence collection by defining specific evidence criteria and source buckets during the research decomposition phase. Structure deliverables by determining the intended final output format, such as a memo or pattern map, ensuring the gathered evidence directly addresses the key sub-questions and decision framework.

Yes, you can apply structured research planning to broad or underspecified market asks. The decomposition process translates vague prompts into a clear decision framework, outlining specific sub-questions and evidence standards to guide the research and produce a structured final deliverable.

The best way to define decision questions is to apply a research decomposition process that breaks the original prompt into a clear decision framework. This method identifies key sub-questions and sets evidence standards upfront, ensuring source gathering directly supports the intended synthesis structure.

Exploratory research lacks structure when it skips decomposition, failing to establish decision questions and evidence criteria beforehand. Without defining an evidence plan and synthesis structure, broad prompts remain underspecified, preventing the creation of a clear, actionable final deliverable.