Question: Which postcodes look like our donors but we’ve never asked?
Outputs: answer.md (bias audit + ~10 unasked look-alikes + pilot
recommendation) + answer.html (three-layer MapLibre map showing donor
postcodes, campaigned postcodes, and unasked look-alikes as visually
distinct layers, CARTO light_all basemap).
| File | What it is |
|---|---|
prompt.md |
Instruction set. |
sample_donors.csv |
500 synthetic donors. |
sample_campaign_list.csv |
16 postcodes deliberately biased to eastern Sydney wealth — ignores inner-city renters and middle/regional postcodes that look demographically similar. |
CLAUDE.md |
Auto-load for Claude Code. |
expected_output.md |
Shape of a good markdown answer. |
Nothing else is bundled. ABS boundaries + demographics come from the public endpoints listed in the prompt.
cd starter/examples/02_spot_the_bias
claude
> "Run CLAUDE.md."
The deck’s insight_mail slide makes the point that donor files are a
record of who we asked AND who said yes, not who would say yes if
asked. This prompt operationalises that point — and the three-layer
map makes the bias visually unambiguous.
A passing answer should identify Marrickville (2204), Balmain (2041), Leichhardt (2040), Pymble (2074), Castle Hill (2154) and similar postcodes as demographic twins of the donor base that were never campaigned to — and pick one as the cheapest pilot.