nw-jtbd-bdd-integration
SolidTranslating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria
Install
Quality Score: 92/100
Skill Content
Details
- Author
- nWave-ai
- Repository
- nWave-ai/nWave
- Created
- 3 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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nw-bdd-methodology
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nw-jtbd-analysis
JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
nw-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
job-story-mapper
Write Jobs-to-be-Done (JTBD) job stories and map customer jobs across functional, social, and emotional dimensions. Use when defining user needs, writing job stories, conducting JTBD research, or reframing features around customer outcomes. Produces a job story map with opportunity scoring, pain intensity ratings, and product opportunity analysis.
jtbd-extractor
Turn raw research into Jobs-to-be-Done statements showing what users are really trying to accomplish. Use when: extract jobs, jtbd analysis, jobs to be done, what job is the user hiring, underlying user needs.