Cleaning, joining and analysing quantitative and qualitative data. AI accelerates the mechanical work and explains the numbers, but it must never be the final word on a figure that will travel to a donor.
AI cleans and tidies, writes analysis code in R or Python, summarises themes across long transcripts, and explains statistical output in plain words. You verify every number against the source and keep the disagreements visible.
Name the variables, record the cleaning steps, keep a copy.
Report counts, averages and the sample size first.
Use a comparison group before claiming any effect.
Tag themes, keep frequency separate from intensity.
Trace every figure; log the source for each one.