The full statistical study,
yours to keep.
Commission the whole analysis — the hypothesis tests, the models, the diagnostics, all the sections a serious answer needs — built to your brief and independently verified. Delivered as a permanent module you own and re-run on fresh data forever.
What you get.
Not a longer chart deck. A study — multi-section, methodologically real, defensible on its own merits. Owned by you and re-runnable as the underlying data changes.
Multiple report sections
Findings, hypothesis tests, models, diagnostics, and the reasoning that ties them together — the structure a stakeholder or a reviewer expects, not just more cards.
Real statistical method
Tests are chosen for the data, assumptions are stated and checked, models come with diagnostics. If the method doesn’t fit, the study says so and picks another.
Independently verified
Every section’s claims are checked against computed values by a stage that didn’t write them. Nothing ships until the verifier signs off.
A permanent module you own
Deployed to your account as a callable module. Re-run it on next quarter’s data for $12.50 — forever, on fresh data, with the same methodology.
Inside the Deck pipeline.
A full study needs specialists per section, not one specialist doing everything. Deck drafts a brief, fans out to per-card specialists to build the study, then puts both the visuals and the underlying analysis through independent verification loops before deployment.
Understand the question, pick the methods, know the data.
Classify the objective. A model consultant picks the family of statistical methods the study will need. Profile the columns so every downstream stage designs against reality.
Author the study spec — then check it before building.
A specialist drafts the full commissioned brief: sections, methods, key figures, expected outputs. A second stage independently verifies the brief is internally consistent and fits the data before a single line of analysis code runs.
Write and execute the whole study as real R code.
The full analysis — every section’s method — is written as executed R in a sandboxed container. Results and diagnostics are produced and pinned for the sections to quote.
A specialist per card, working in parallel.
Every section’s card is handed to its own refiner agent that shapes the visual, the labels, the prose, and the layout — each specialist concentrating on one part of the study rather than one generalist juggling all of it.
Enforce study-wide standards, then render.
Formatting, labeling, unit consistency, and structural rules are enforced across all sections before the study is rendered into its final visual form.
Read every card end-to-end — and fix if needed.
An independent agent reads each rendered card, cross-checks visuals against the values that produced them, and requests a build_fix pass if something is off. Only clean sections go on to deploy.
Ship the study as a permanent module and prove it runs.
The study is registered as a callable module on your account. A production test runs the deployed version end-to-end to confirm it reproduces the same answers — and then it’s available for re-run on fresh data at $12.50 forever.
An independent statistical review of the whole study.
A verifier and a judge stage evaluate the analysis itself — not the presentation — against methodological standards. If the judge disagrees with the study, an analysis_fix pass rewrites the affected sections and the study is re-verified before closeout.
Package the study, notify you, hand you the module.
Final deliverable is compiled with citations, method appendix, and code. You’re notified. The module is live in your account and available to re-run whenever the underlying data changes.
What the output looks like.
A structured study with the sections a real analysis needs — not a bigger chart deck.
“Which customer segments drove Q3 revenue growth, and is the effect real?”
- 01Executive summaryThe headline finding, the segment ranking, and the confidence level in plain language.
- 02Segment attributionRevenue lift decomposed by segment with visual breakdown and per-segment contribution figures.
- 03Hypothesis testsTwo-sample tests of Q3 vs Q2 per segment, with effect sizes, confidence intervals, and multiple-comparison correction.
- 04Driver modelA regression model of the segment-level drivers, with coefficients, standard errors, and interpretation.
- 05DiagnosticsResidual plots, assumption checks, and robustness of the fitted model.
- 06Method appendix & codeFull method statement, the executed code, and the citations backing the choices.
Why $25 for a study worth $600?
A senior data consultant commissioned to do the same study — scope it, run the tests, model the drivers, check the diagnostics, write it up defensibly — runs about three hours at typical rates. The Deck pipeline does that work in 30–45 minutes and delivers a permanent module. Every subsequent re-run on fresh data is $12.50 — half the build price, forever.
Commission the study.
Describe your question, hand us your data, and we’ll deliver a full statistical study in about the time it takes to have lunch — then it’s yours to re-run forever.
Commission a Deck