---
title: Analyze a single round of observed data
review-state: drafting
last-human-review: "2026-06-10"
depends-on:
  - src/pytyche/analysis/_functions.py
owner: tradcliffe
quadrant: how-to
---

# Analyze a single round of observed data

This guide covers the use case where you already have one round of A/B/n
data from your own platform and do not need pytyche's sequential allocation
loop — you want a posterior fit and a decision, once.

The canonical one-shot path is `pt.analyze(observed)`, which runs fit
auto-selection via `pt.fit` then immediately calls `.analyze()` on the
resulting posterior. For callers who need access to the intermediate
posterior object, the explicit two-step alternative is equivalent:

```python
posterior = pt.fit(observed)
result = posterior.analyze()
```

Both paths produce the same `AnalysisResult`; the one-liner is convenience
sugar for the common case where you have no reason to inspect the raw
posterior draws before producing a decision.

For a full walkthrough of the posterior object and what you can do with it
before calling `.analyze()`, see the
[working with the posterior](../tutorials/working-with-the-posterior.md)
tutorial. For the types returned by `.analyze()`, see
[result objects](../concepts/result-objects.md).