Every analysis run in Aixys carries enough metadata to generate the document around it: what data was used, what tests were chosen, what the results were, what the limitations are. The report generator stitches those into a polished PDF or Word document in your house style — ready for a stakeholder, sponsor, or peer reviewer.
Click any card to expand. Every action carries provenance — what data was used, what was decided, when, by whom.
The structure is fixed so reviewers know where to look. The content is yours — generated from the actual analysis, refined by your team.
Title, sponsor, date, principal investigator, and a 120-word abstract drafted from the study question and conclusions.
Sites, sample, design type, randomisation, statistical test, software version. Pulled directly from the run metadata.
Embedded figures with statistical references in the caption (F, p, n). Tables formatted to journal style or to your house template.
Drafted as a checklist — outliers retained, missing data handling, scope of inference — for the team to review before publication.
Observation-only language by default. The human researcher decides what to do; the report records what was observed.
Raw test outputs, residual plots, data dictionary, and a reproducibility manifest pointing back to the source dataset version.
Three representative scenarios drawn from real research workflows. Click any to expand the follow-up that the team typically runs next.
Industries where this module is most directly relevant. The underlying engine is general — sector templates accelerate the work.
A 30-minute working session with the Aixys studio. Bring a real dataset; leave with an analysis, a plan, and answers to your team's hardest research-ops questions.