Chisquare automates the entire analysis pipeline — EDA, bias detection, statistical testing, and AI-drafted reports — for NGOs, research firms, and academic teams.
No credit card required · GDPR-ready · Works with CSV, Excel, XLSForm
Built by researchers, for researchers. Every statistical decision is transparent, auditable, and explainable.
Gemini proposes the right statistical tests for your research questions — Kruskal-Wallis, Spearman, OLS regression, moderation, and more.
Column profiling, bias detection, social desirability checks, and quality scores — all before you touch a single line of code.
Effect sizes, exact p-values, assumption checking, and APA-style reporting. Non-parametric tests auto-selected for Likert scales.
Donor, internal, academic, or policy reports — each with appropriate language, depth, and formatting. AI drafts, you review.
Upload your survey instrument alongside the data. The AI maps question labels to dataset columns automatically.
Row-level security on every table, data stays in EU region, signed export URLs with 7-day expiry.
A guided, linear workflow keeps you in control at every decision point.
Name your study, set research questions, select sampling method and target population.
CSV or Excel. Optionally attach your questionnaire (XLSForm / Word / PDF) for label mapping.
AI suggests roles: outcome, covariate, demographic, identifier. You review and confirm.
EDA, bias detection, and data cleaning suggestions — all with one click.
Approve the AI's analysis plan or add your own tests. All stats computed deterministically.
Per-RQ synthesis, traffic-light evidence verdicts, charts, and AI interpretations.
Download a publication-ready DOCX or PDF with methodology, findings, and recommendations.
Baseline/endline evaluations, needs assessments, donor reports
Survey data analysis at scale, fast turnaround for clients
Publish-ready results with correct statistical notation
Plain-language summaries and actionable recommendations
“We used to spend 3 weeks on post-survey analysis. Chisquare compressed that to 2 days, including the donor report.”
Amira K.
MEL Manager, humanitarian INGO
“The AI correctly identified that our Likert-scale data needed non-parametric tests. That alone saved us a reviewer rejection.”
Dr. R. Mensah
Research Director, West Africa
“The evidence-per-RQ synthesis section is exactly what our policy team needed. No statistics background required.”
Sara T.
Policy Analyst