docs(kano): Kano-model prioritization of the open backlog + survey + label scheme#220
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…ey, label scheme Deep-research deliverable: apply the Kano model to prioritize the 16 open issues. - 2026-06-04-kano-model-research-report.md — cited report (origins, 5 categories, functional/dysfunctional eval table, SI/DI, no-survey proxy adaptation, critiques, OSS triage). Includes a provenance caveat: the deep-research verify stage hit a StructuredOutput tooling failure (all claims defaulted to "refuted" via 0-0 abstain), so cited facts are manually vetted (canonical Kano), not machine-verified. - kano-backlog-categorization.md — 16 issues categorized + Kano-gated priority waves; factors in that #202/#186/#201 largely shipped (#218/#188). - kano-survey-template.md — functional/dysfunctional questionnaire tailored to the plugin. - kano-label-scheme-and-triage.md — kano:* + effort:* labels, gh commands, monthly cadence. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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What
Adds
docs/kano-model/— a deep-research deliverable applying the Kano model to prioritize rn-dev-agent's 16 open issues, plus reusable tooling.2026-06-04-kano-model-research-report.mdkano-backlog-categorization.mdkano-survey-template.mdkano-label-scheme-and-triage.mdkano:*+effort:*labels, readyghcommands, monthly re-triage cadence.Applied
The
kano:*labels from the scheme have been created and applied to all 16 open issues (Must-be ×6, Performance ×7, Attractive ×2, Indifferent ×1).Priority order (Kano-gated):
Provenance caveat
Seeded by the
deep-researchworkflow (20 sources, 88 claims). Its verify stage hit aStructuredOutputtooling failure — every verifier abstained (0-0), so the harness's refute-by-default killed all claims (false negative). The cited facts are therefore manually vetted (canonical Kano), not machine-verified, and the report says so up front. The inferred categories are hypotheses, not measurements (no survey run); the included survey template + cadence are the path to correct them with real signal.🤖 Generated with Claude Code