Structured Synthesis Frameworks

Three synthesis frameworks cover most production research needs. Convergence synthesis identifies findings where multiple independent sources point to the same conclusion — the confidence scales with the number of independent supporting sources. Mosaic synthesis assembles a complete picture from fragments — each source contributes a piece that, combined, reveals a pattern none of them individually captured. Dialectical synthesis maps opposing interpretations against each other — identifying where the disagreements are, what drives them, and what resolution or structured ambiguity the analyst can offer.

## Synthesis Framework Selection Guide

CONVERGENCE SYNTHESIS
When: Multiple sources address the same question
Goal: Establish consensus findings with calibrated confidence
Output: Assessed finding + weighted evidence + confidence tier
Example: "Revenue estimate: $45M (HIGH confidence — 10-K,
two independent analyst reports, all within 5%)"

MOSAIC SYNTHESIS
When: Each source reveals a different aspect of the picture
Goal: Assemble fragments into a coherent whole
Output: Composite picture with source attribution per element
Example: Source A provides financials. Source B provides
product roadmap. Source C provides hiring signals. The
composite reveals: investing in AI product, funded by
divesting legacy line.

DIALECTICAL SYNTHESIS
When: Sources present conflicting interpretations
Goal: Map the disagreement and assess resolution
Output: Opposing theses + supporting evidence + resolution
or structured ambiguity
Example: "Restructuring (supported by R&D increase) vs.
Distress (supported by revenue decline). Resolution
pending Q1 data."