nw-diverge

Orchestrate a four-phase divergence workflow from validated problems to design artifacts.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-diverge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-diverge
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-diverge
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-diverge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generating multiple design directions from a validated problem using a structured divergence workflow.

Core Features & Use Cases

  • JTBD analysis to extract jobs and ODI outcome statements.
  • Competitive research mapping current solutions and non-obvious alternatives.
  • Structured brainstorming producing diverse design options.
  • Taste evaluation scoring and ranking with fixed weights.
  • Use Case: When a problem is validated but no solution path is chosen, for new products, brownfield features, or pivots.

Quick Start

Invoke NW-DIVERGE for your feature by running /nw-diverge with the feature-id to bootstrap the divergence process.

Frequently Asked Questions about nw-diverge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate multiple design directions from a validated product problem?

A structured divergence workflow transforms a validated problem into 3-5 design directions by enforcing a four-phase process: JTBD analysis, competitive research, brainstorming, and taste evaluation. This ensures solution paths are systematically explored rather than guessed.

When should I use structured divergence for product design?

Structured divergence is a four-phase process used when a problem is validated but no solution path is chosen. You should use it for new products, brownfield features, or pivot redesigns to systematically explore diverse design options before committing to a direction.

How does JTBD analysis help with brainstorming product features?

JTBD analysis helps with brainstorming product features by extracting core jobs and ODI outcome statements from your validated problem. This frames the subsequent brainstorming phase to ensure generated design directions directly address actual user needs and desired outcomes.

Can I use this divergence workflow for brownfield feature redesigns?

Yes, you can use this divergence workflow for brownfield feature redesigns. It is explicitly designed to handle new products, brownfield features, and pivot redesigns whenever a problem is validated but a specific solution path has not yet been chosen.

How do you evaluate and rank competing design directions?

You evaluate and rank competing design directions using a taste evaluation phase that scores brainstormed options using fixed weights. This structured ranking process gates quality and outputs the final prioritized design directions to your feature-level artifacts.

What are the limitations of using a structured divergence workflow?

A limitation of this structured divergence workflow is that it requires a validated problem as input; it cannot generate design directions for unvalidated or poorly defined product issues. Additionally, its taste evaluation phase relies on fixed weights, which may not suit highly dynamic market contexts.