nss-novelty-space-search

name	nss - Novelty Space Search
description	Creativity = novelty + value.
output	{"format":"prose"}

Novelty Space Search

Overview

Creativity = novelty + value. This procedure separates the two:

1. Generate novelty (systematic combination, variation, import)
2. Filter for value (criteria-based selection)

By separating, we can be exhaustive in generation and rigorous in selection.

Goal

Systematically generate novel ideas/possibilities, then search for those that are valuable, feasible, and timely.

Steps

Step 1: Define the Innovation Space

Specify:

• What domain/problem
• What hard constraints
• What would make an idea valuable

Output: Innovation brief

Step 2: List Existing Solutions

What already exists in this space? These are the baseline to be more novel than.

Output: Existing solution inventory

Step 3: Apply Combinatorial Generation

List key elements/components. Systematically combine in new ways.

Output: Combinatorial ideas

Step 4: Apply Attribute Variation

For existing solutions, vary each attribute. Use SCAMPER or similar.

Output: Variation ideas

Step 5: Apply Analogy Import

Search other domains for analogous problems. Import their solutions.

Output: Imported ideas

Step 6: Apply Constraint Removal

List assumed constraints. Generate ideas that violate them.

Output: Constraint-free ideas

Step 7: Apply Extreme Parameters

Push key parameters to extremes. What does this enable?

Output: Extreme parameter ideas

Step 8: Compile All Ideas

Combine all generated ideas. Remove duplicates. State each clearly.

Output: Master idea list

Step 9: Quick Novelty Filter

For each idea, quick check:

• Already exists? → Remove
• Obvious? → Flag but keep

Output: Novel ideas

Step 10: Score on Value Criteria

For each novel idea, score on criteria:

• Solves real problem
• Better than alternatives
• Technically feasible
• Resource feasible
• Right timing
• Sustainable advantage

Output: Scored ideas

Step 11: Rank and Select

Rank by total score. Select top ideas for further development.

Output: Promising ideas

When to Use

• Innovation/ideation
• Finding new approaches
• Breaking out of local optimum
• Exploring possibility space
• Product/feature development

Verification

• Multiple generation methods were applied
• Ideas are genuinely novel (not already done)
• Ideas address real problems
• Feasibility was honestly assessed
• Top ideas have clear next steps