diff --git a/autogalaxy/analysis/analysis/analysis.py b/autogalaxy/analysis/analysis/analysis.py
index 2afd5978..daa42e3e 100644
--- a/autogalaxy/analysis/analysis/analysis.py
+++ b/autogalaxy/analysis/analysis/analysis.py
@@ -1,3 +1,18 @@
+"""
+Abstract `Analysis` class providing shared functionality across all **PyAutoGalaxy** model-fitting analyses.
+
+This module provides `Analysis`, the root analysis class from which all dataset-specific analysis classes
+inherit (`AnalysisImaging`, `AnalysisInterferometer`, `AnalysisEllipse`, `AnalysisQuantity`).
+
+`Analysis` itself inherits from `af.Analysis` (from **PyAutoFit**) and extends it with:
+
+- A cosmology instance (defaulting to Planck15).
+- A `galaxies_via_instance_from` helper that extracts galaxies from a model instance, handling the
+  case where an `extra_galaxies` collection is also present.
+
+All subclasses call `super().__init__` to initialise the cosmology before implementing their own
+`log_likelihood_function`.
+"""
 import logging
 import numpy as np
 from typing import List, Optional
diff --git a/autogalaxy/analysis/result.py b/autogalaxy/analysis/result.py
index 36902073..0849c9ae 100644
--- a/autogalaxy/analysis/result.py
+++ b/autogalaxy/analysis/result.py
@@ -1,3 +1,18 @@
+"""
+Result classes returned by **PyAutoGalaxy** model-fitting analyses.
+
+Each concrete analysis class (`AnalysisImaging`, `AnalysisInterferometer`, etc.) has a paired `Result*`
+class (e.g. `ResultImaging`, `ResultInterferometer`) that inherits from the base `Result` class defined here.
+
+The `Result` class extends **PyAutoFit**'s `af.Result` with galaxy-specific convenience properties:
+
+- `max_log_likelihood_galaxies` — the list of galaxies at the maximum likelihood point.
+- `path_galaxy_tuples` — (name, galaxy) pairs for inspecting which galaxy is which in the model.
+- Adapt-image utilities for propagating model images between pipeline stages.
+
+Dataset-specific result classes (e.g. `ResultImaging`) additionally expose the maximum-likelihood fit
+object (`max_log_likelihood_fit`) and other dataset-specific outputs.
+"""
 from __future__ import annotations
 
 from typing import Dict, List, Optional, Tuple, Type, Union