Innovation Engine
Input: $ARGUMENTS
Overview
A systematic search for non-obvious strategies using cross-domain mapping, unexplored gap search, and strategy inversion.
This procedure is mandatory for all goals to prevent the system from simply recommending the “default” or “passive” path.
Steps
Step 1: Map the Strategy Space
Define the dimensions along which strategies can vary:
- What are the key decision dimensions? (e.g., target audience, delivery method, pricing model, timing, scale)
- What options exist along each dimension?
- What combinations are currently being used? (Conventional strategies)
- What combinations are NOT being used? (Gaps = innovation opportunities)
STRATEGY SPACE:
Dimension 1: [name] — options: [A, B, C, D]
Dimension 2: [name] — options: [X, Y, Z]
Dimension 3: [name] — options: [1, 2, 3]
Used combinations: [A-X-1, B-Y-2, ...]
Unused combinations: [A-Z-3, C-X-1, ...] ← INVESTIGATE THESE
Step 2: Cross-Domain Search
Look for strategies that work in OTHER domains:
Source domains to search:
- Nature/biology — What does evolution do here?
- Military/warfare — What would a strategist do?
- Games/sports — What do winners do?
- Technology — What does an engineer do?
- Markets/economics — What does an economist do?
- Art/design — What does a creative do?
- Science — What does a researcher do?
For each source domain:
- What’s the analogous problem?
- What strategies have been tried?
- Which strategies won?
- What’s the mechanism? (WHY did it work?)
- Can the mechanism transfer?
| Source Domain | Strategy | Mechanism | Transferable? | Translation |
|---|---|---|---|---|
| [domain] | [what they do] | [why it works] | Y/N/Maybe | [how it would look in our domain] |
Step 3: Strategy Inversion
For the conventional/obvious strategy:
- What is the obvious approach?
- What if you did the OPPOSITE on each dimension?
- For each inversion: Is there ANY merit? (Not “is it better” — just “is there a non-zero case?”)
- Which inversions reveal something interesting?
| Dimension | Conventional | Inverted | Merit? | Insight |
|---|---|---|---|---|
| [dim] | [normal] | [opposite] | Y/N | [what it reveals] |
Step 4: Gap Analysis
From the strategy space mapping:
- Which unused combinations are most promising?
- WHY are they unused? (Bad idea, or just unexplored?)
- If bad idea → understand why (may be bad for them but good for you)
- If unexplored → investigate further
- Which gap has the best mechanism story? (Not just “different” — different AND causally sound)
Step 5: Evaluate Novel Strategies
For each promising non-obvious strategy found:
| Strategy | Source | Mechanism | Assumptions | Testable? | Competitive Advantage |
|---|---|---|---|---|---|
| [strategy] | [where found] | [why it works] | [what must be true] | [can we test cheaply?] | [hard to copy?] |
Red flags for novel strategies:
- No clear mechanism (“it just might work” = gamble, not strategy)
- Untestable assumptions
- Easy for competitors to copy once proven
- Requires conditions that don’t exist in your context
Green flags:
- Clear causal mechanism
- Testable with small investment
- Hard to copy (requires capability, position, or insight others lack)
- Evidence from analogous domains
Step 6: Design Minimum Viable Test
For the top novel strategy:
- What’s the smallest test that would validate/invalidate this?
- What’s the cheapest test?
- What result would confirm the mechanism works?
- What result would kill the idea?
- How long would the test take?
Step 7: Report
INNOVATION ENGINE:
Domain: [where we're innovating]
Conventional approach: [what everyone does]
Strategy space: [N] dimensions × [options] = [total combinations]
Currently used: [N] combinations
Gaps found: [N] unexplored combinations
Cross-domain strategies:
1. From [domain]: [strategy] — mechanism: [why it works]
Inversions with merit:
1. [inversion] — insight: [what it reveals]
Top novel strategy:
Name: [label]
Source: [where found]
Mechanism: [causal chain]
Key assumption: [what must be true]
Competitive advantage: [why hard to copy]
Minimum viable test:
Action: [what to do]
Cost: [resources needed]
Success criterion: [what proves it works]
Kill criterion: [what proves it won't]
Verification
- At least 3 source domains searched for cross-domain strategies
- Strategy space mapped with dimensions identified
- Empty cells (gaps) explicitly identified
- Each novel strategy has mechanism explanation
- Novel strategies validated before commitment
- Minimum viable test designed for top candidate
When to Use
- During strategy discovery for any new goal
- When the current plan feels obvious or conventional
- When you want to find a competitive advantage
- When you feel stuck in a local optimum
- → INVOKE: /cda (cross-domain analogy) for deeper cross-domain analysis
- → INVOKE: /va (variation analysis) for systematic inversion
- → INVOKE: /ma (morphological analysis) for exhaustive combination generation