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Last updated: 9 Sep 2021
govuk-data-science-workshop: Assumptions and caveats log
This log contains a list of assumptions and caveats used in this analysis.
Definitions
Assumptions are RAG-rated according to the following definitions for quality and impact[^1]:
[^1]: With thanks to the Home Office Analytical Quality Assurance team for these definitions.
| RAG | Assumption quality | Assumption impact |
|---|---|---|
| Green | Reliable assumption, well understood and/or documented; anything up to a validated & recent set of actual data. | Marginal assumptions; their changes have no or limited impact on the outputs. |
| Amber | Some evidence to support the assumption; may vary from a source with poor methodology to a good source that is a few years old. | Assumptions with a relevant, even if not critical, impact on the outputs. |
| Red | Little evidence to support the assumption; may vary from an opinion to a limited data source with poor methodology. | Core assumptions of the analysis; the output would be drastically affected by their change. |
Assumption 1: Insert plain English title here
- Quality: Insert RAG rating here
- Impact: Insert RAG rating here
Add plain English description here.
Assumption 2: Insert plain English title here
- Quality: Insert RAG rating here
- Impact: Insert RAG rating here
Add plain English description here.