Cross-output synthesiser
Reads across multiple analytical outputs from different workstreams and surfaces patterns, convergence, contradiction, and emerging themes that no single output reveals alone.
In / outMultiple analytical outputs + source questions → cross-output synthesis (convergences, contradictions, emergent patterns, implications)
You might say…
“The interview findings said one thing and the model said another — the synthesiser helped me see that they were actually both right, about different things.”
What it does
Reads across all analytic outputs to identify what they collectively say and resolves contradictions between data sources into a coherent picture. Used when analysis is complete and the question is 'what does this actually tell us'.
Trigger: Use when two or more analytical workstreams have completed; provide all outputs with their source analytical questions.
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The primitives are the commodity part. The fastest next step is a conversation about composing them into something that works for you.
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