Map evidence sources and signals to each dimension
For each scoring dimension, proposes named sources, the specific data point or signal to extract from each, and a fallback for common data gaps.
In / outLocked dimension set + rubric → per-dimension evidence guide listing named sources, extraction signals, and data-gap fallbacks
You might say…
“Mapping sources to dimensions before the first live case meant I'd already solved the 'where do I look for this?' problem before it became a time pressure.”
What it does
For each scoring dimension, proposes named sources (databases, registries, published reports, interview question sets, observation checklists), the specific data point or signal to extract from each, and a fallback for common data gaps. Used after dimensions and rubric levels exist. Human-reviewed reference output.
Trigger: Use after dimensions and rubric levels exist, to produce the evidence guide analysts follow during data collection.
Recognise the problem?
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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