nw-por-review-criteria

Solid

Review dimensions and bug patterns for journey artifact reviews

Code & Development 526 stars 55 forks Updated 1 weeks ago MIT

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Quality Score: 92/100

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Skill Content

# Review Criteria Skill Domain knowledge for product-owner-reviewer (Eclipse). Covers journey coherence, emotional arcs, shared artifacts, example data quality, CLI UX patterns. ## Review Dimensions ### Journey Coherence Validate complete flow with no gaps. Checks: all steps start-to-goal defined | no orphan steps | no dead ends | decision branches lead somewhere | error paths guide to recovery Severity: critical = missing main flow steps / dead ends | high = orphan steps | medium = ambiguous decisions | low = minor clarity ### Emotional Arc Validate emotional design quality. Checks: arc defined (start/middle/end) | all steps annotated | no jarring transitions | confidence builds progressively | error states guide not frustrate Severity: critical = no arc / major jarring transitions | high = missing key annotations | medium = confidence doesn't build | low = minor polish ### Shared Artifact Tracking Validate ${variable} sources and consistency. Checks: all ${variables} have documented source | single source of truth | all consumers listed | integration risks assessed | validation methods specified Severity: critical = undocumented ${variables} / multiple sources | high = missing consumers / unassessed risks | medium = incomplete validation | low = minor consumer docs ### Example Data Quality Key review skill -- analyze data for integration gaps. Checks: realistic not generic | reveals integration dependencies | catches version mismatches | catches path inconsiste...

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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