1. Our Approach

We treat mental workload, attention, and process complexity as features that can be roughly modelled with a few measurable inputs. This page documents the heuristic metrics we use and the shared vocabulary that unifies our tools and articles. These are our own simplifications, built on established research — not validated clinical scales, and we label them as such throughout.

2. The Metrics We Use

Our tools output three metrics designed to turn a few hard-to-see factors into something you can compare and discuss. Each formula is shown in full. These are deterministic heuristic models — our own design choices — not clinical diagnostic scales.

3. Canonical Ontology (Glossary)

The following terms form the standardized vocabulary used across all our internal models, diagnostic articles, and calculators.

EntityDefinition
Intrinsic Complexity The immovable, structural procedural weight of a task based solely on its internal steps and required operational knowledge.
Extraneous Load The avoidable cognitive tax imposed by the environment, poor UI/UX, disorganized data, or broken toolchains.
Attentional Residue The cognitive lag and performance drop that persists after an interruption or rapid context switch.
Dynamic Complexity Workflow variance introduced by changing external conditions, making SOPs difficult to execute mechanically.
Procedural Entropy The degree of unpredictable branching and chaos within a system's workflow logic.

4. How we separate research from opinion

To avoid pseudo-scientific certainty, we keep two kinds of statements clearly apart across the whole site:

If you ever find those two blurred together on this site, that is a bug — please tell us and we'll correct it.

5. Primary Sources

The vocabulary and weighting directions on this page draw on established research. The formulas themselves are our own heuristics (see the previous section), but the concepts they operationalise come from these primary sources: