Documentation Bottleneck Diagnosis Matrix
Rate how strongly each factor influences each result parameter in your documentation system.
Higher scores = stronger influence / bigger lever.
0 · no real impact
1 · weak
3 · noticeable
9 · strong
27 · critical / bottleneck
| Factors | Result Parameters | Σ Factor Score | |||
|---|---|---|---|---|---|
| Q Quality |
S Workflow interruptions |
P Throughput |
Mk Sustainability |
||
|
A. Tools
Authoring tools, templates, CCMS, AI, version control. E.g., outdated Word templates force manual formatting → impacts Quality & Throughput.
|
0 | ||||
|
B. Source Material
Requirements, SME input, tickets, specs, product knowledge. E.g., vague requirements → chasing SMEs for clarification → impacts Workflow interruptions.
|
0 | ||||
|
C. Process
Workflow design, reviews, branching, terminology control. E.g., 5-layer review process with unclear approval gates → impacts Throughput & Workflow interruptions.
|
0 | ||||
|
D. People & Collaboration
Writers, SMEs, reviewers, communication, ownership. E.g., single writer with tribal knowledge → critical bottleneck → impacts Sustainability.
|
0 | ||||
|
E. Documentation Debt
Outdated pages, inconsistencies, legacy structure, broken links. E.g., 40% of docs still reference deprecated UI → impacts Quality & Sustainability.
|
0 | ||||
|
F. Specific Factors
Regulation, customer tailoring, domain complexity. E.g., GDPR compliance checks needed for every doc → impacts Throughput & Quality.
|
0 | ||||
|
G. Supporting Systems
Ticketing, CI/CD, analytics, screenshot tools, design systems. E.g., broken build pipeline blocks publishing → critical impact on Throughput.
|
0 | ||||
|
H. Unknown Factors
Last-minute changes, tribal knowledge, surprise features. E.g., undocumented API changes found during release → impacts Workflow interruptions & Quality.
|
0 | ||||
| Σ Result Score | 0 | 0 | 0 | 0 | |