AI Researcher
Sourcetable's AI Researcher enables you to conduct rigorous research with statistical analysis, hypothesis testing, and data visualization. From literature reviews to final reports - get expert research capabilities in a spreadsheet.
Try for Free
Statistical rigor meets AI simplicity
Perform hypothesis testing, ANOVA, regression analysis, and effect size calculations. Ask in plain English and get statistically rigorous analysis with proper p-values, confidence intervals, and effect sizes.
From data collection to publication
Design experiments, calculate sample sizes, analyze results, and generate publication-ready tables and figures. Complete research workflows from hypothesis to conclusion.
Multi-method research support
Quantitative, qualitative, and mixed methods research. Survey analysis, experimental design, observational studies, and meta-analysis - all supported with AI guidance.
Analyze data, test hypotheses, and generate insights using plain English. AI helps you conduct rigorous research faster - from exploration to publication.
Run t-tests, chi-square tests, ANOVA, and non-parametric tests with AI assistance. Get automatically formatted results with p-values, effect sizes, confidence intervals, and statistical power. Sourcetable guides you to the right test for your research design.
Try for free
Design robust studies with AI recommendations on sample size, control variables, and statistical methods. Analyze survey data, experimental results, and observational studies with appropriate techniques for your research questions.
Try for free
Generate APA-formatted tables, correlation matrices, regression outputs, and statistical reports. Export professional visualizations and documented analysis that meet academic publication standards.
Try for free
From hypothesis to publication - conduct rigorous research with statistical analysis, data visualization, and comprehensive reporting.
Enable researchers, graduate students, and analysts to conduct sophisticated statistical analysis without deep programming knowledge. Focus on your research questions while AI handles the technical implementation.
Every analysis is fully documented with code, assumptions, and methods. Share your work with collaborators, peer reviewers, or students who can verify and build upon your findings.
From social sciences to biomedical research, from market research to educational studies - get AI assistance for the statistical methods and research designs specific to your field.
Conduct literature reviews, pilot studies, and full analyses in a fraction of the time. AI helps you explore multiple analytical approaches while maintaining statistical validity and research ethics.
Team Purple
Chris Aubuchon
@ChrisAubuchon
Spreadsheets are still the best interface for so many real world projects, it's time for @SourcetableApp to give them a reboot
Micah Alpern
@malpern
Love seeing innovation in this space after so many decades with very little.
Sourcetable's AI helps with literature review, data collection, statistical analysis, hypothesis testing, data visualization, experimental design, and research report generation across scientific, academic, and market research.
Yes, Sourcetable's AI performs t-tests, ANOVA, regression analysis, chi-square tests, correlation analysis, and other statistical tests commonly used in research, providing interpretation of results and significance.
Sourcetable's AI provides functionality similar to SPSS, R, or Stata but through natural language commands. Instead of learning statistical software syntax, describe your analysis and Sourcetable's AI executes it.
Yes, Sourcetable's AI can help with sample size calculations, experimental design, survey design, and methodology recommendations based on your research questions and constraints.
Sourcetable's AI creates publication-quality visualizations including scatter plots, box plots, histograms, heatmaps, and specialized research charts. Specify your visualization needs and Sourcetable's AI generates appropriate graphics.
Yes, Sourcetable's AI can analyze qualitative data including interview transcripts, open-ended survey responses, and field notes. It identifies themes, codes responses, and provides qualitative insights.