Productivity Methods Atlas - Diagnostic Method Selection
GitHub -> Standalone GitHub Pages demo ->
Launch Interactive DemoWhat it is
An interactive diagnostic atlas for productivity methods. The core move is simple:
Diagnose the failure substrate before choosing a method.
The atlas groups productivity, workflow, governance, cognition, safety, and feedback methods by the problems they actually solve. It treats methods as decision tools, not identities or aesthetics.
Current shape
- 30 method families
- 15 failure patterns
- 8 diagnostic selection lenses
- 1 constraint-first operating model
- Searchable method and anti-pattern catalogs
- Method chooser and failure matrices
- Standalone static HTML demo
- Structured JSON source data and MethodCards
Why it matters
Most productivity systems fail because they prescribe behavior before identifying whether the actual problem is constraint, flow, cognition, state, authority, safety, knowledge, or feedback.
This atlas asks a better first question: what kind of system failure is this?
Architecture
The public repo separates generated presentation from source data:
- JSON stores method records, anti-patterns, source notes, selection rules, and matrices
- MethodCards preserve method-level records with advisory metadata
- Markdown keeps doctrine and schema notes readable
- A Python build script compiles the standalone HTML demo
- Integrity tests check source counts and demo presence
The private ingestion material from the original local workspace was not published. The public repo keeps the useful knowledge architecture while removing host-system implementation details.
What This Demonstrates
Knowledge architecture for messy human systems. Evidence-aware framing. Interface design for browsing, comparing, and selecting methods. Publication discipline: public artifact separated from private implementation context.