data-readout

Raw numbers turned into a decision: dataset interpretation, statistics with the business implication of each finding, chart specifications, pattern and anomaly detection, forecasts built on stated assumptions, segmentation, A/B test significance, dashboard metric selection and report templates, output as an executive summary, findings ranked by impact and the specific actions they support. Use whenever someone brings data, a spreadsheet, a CSV, an analytics export, an A/B result or an unexpected number and asks what it means, what to chart, whether the test won or which metrics to track, even if they never say analysis. Not for writing the pandas or R code that crunches the file (use production-code), for market research outside the user's own data (use research-brief) or for the strategic roadmap that follows (use strategy-memo).