dimensional-analysis

name	dimensional-analysis
description	Campaign for mapping design spaces — discover dimensions/axes, enumerate combinations, identify gaps and novel opportunities. Produces dimensional maps in the wiki vault.
execution	campaign
dependencies	{"strategies":["dimension-discovery","knowledge-structuring-combination-mapping","knowledge-structuring-gap-prioritization"],"tactics":["axis-extraction","knowledge-compilation","matrix-generation"],"sops":["context-checkpoint","context-init"]}

Dimensional Analysis

Map the design space of a research area by discovering its fundamental dimensions (axes of variation), enumerating meaningful combinations, and identifying unexplored regions that represent novel opportunities.

Manifest

Level	Count	Skills
Strategy	3	dimension-discovery, combination-mapping, gap-prioritization
Tactic	2	axis-extraction, matrix-generation
SOP	6	dimension-page-creation, axis-validation, combination-enumeration, novelty-scoring, question-generation, matrix-export

Budget Table

Metric	Small	Medium	Large
Dimensions identified	3	6	10
Axes per dimension	3	5	8
Combinations explored	10	30	60
Novel gaps identified	3	8	15
Questions generated	5	12	25

Strategy Sequence (Reference, Not Prescription)

1. dimension-discovery — identify fundamental axes of variation in the design space
2. combination-mapping — enumerate interesting combinations, mark existing work
3. gap-prioritization — rank unexplored combinations by novelty and feasibility

MCP Tools Used

• vault_search — find existing coverage of dimension values
• vault_add_edge — connect dimensions to concepts
• vault_query_graph — explore existing dimension neighborhoods
• vault_graph_stats — assess coverage completeness

Context-Management

- Call `context-init` at campaign start - Call `context-checkpoint` after each strategy completes - Call `knowledge-compilation` after each strategy

Guiding Principles

• Dimensions are independent. If two axes always co-vary, they're likely one dimension.
• Completeness over depth. Map the full space first, then drill into promising regions.
• Empty cells are opportunities. An unexplored combination in a well-populated matrix is a research opportunity.
• Feasibility constrains. Not all combinations are realizable. Mark impossible combinations explicitly.
• Cross-domain dimensions. The most interesting dimensions often come from outside the domain.

Available Strategies

Optional, no fixed order; the final leaf is always a sop.

Strategy	When to use
dimension-discovery	Strategy for identifying fundamental dimensions of variation in a design space.
knowledge-structuring-combination-mapping	Strategy for enumerating meaningful combinations across dimensions and marking existing work.
knowledge-structuring-gap-prioritization	Strategy for ranking unexplored combinations by novelty, feasibility, and potential impact.

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
axis-extraction	Tactic for systematically extracting axes of variation from literature — identify how practitioners compare approaches.
knowledge-compilation	Tactic for compiling research findings into vault pages — orchestrates page creation, updates, edge linking, and index maintenance. Minimum yield ≥3 page operations per invocation.
matrix-generation	Tactic for generating and populating combination matrices — cross dimensions to enumerate the design space.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
context-checkpoint	Append research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
context-init	Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.