THE QUESTIONS
Sound familiar?
The recurring analytical questions in your field — and the methods that answer them.
Did the program cause the effect, or just correlate with it?
Working with panels: fixed vs. random effects, endogeneity.
Forecasting indicators and testing for structural breaks.
Benchmarking efficiency across regions or agencies.
METHODS THAT FIT
The analyses your work runs on.
Drawn straight from the Statistical & Model Lab catalog — every method with assumption checks and plain-language interpretation.
Causal inference
Quasi-experimental designs for policy impact.
Panel data
Exploit variation across units and time.
Time series
Forecast indicators and test dynamics.
Efficiency & structure
Benchmark performance and market structure.
SURVEY LAB
Collect the data too.
Design, distribute, and analyze surveys — the results flow straight into the same analysis engine.
HOW IT WORKS
From data to decision in four steps.
The same guided flow for every method — no coding, no guesswork.
Bring your data
Drop in CSV or Excel, or pull from a public dataset. Types are auto-detected.
Pick the method
Describe your question — the AI recommends fitting methods straight from the catalog.
Run with checks
Assumptions are validated before every run, with plain-language explanations.
Report & export
Get a publication-ready report with R / Python code and APA tables.
EXPLORE THE LABS
Where the work gets done.
Each lab is purpose-built for a different type of analysis — same interface, different lens.
Bring your data. Get answers.
A publication-ready report in minutes — with reasoning, R/Python code, and an AI tutor.