product-lifecycle-learning

SKILLFlusso di lavorocommunity
v0.0.0magnus919MITAggiornato 6 g faFonte →

Compare intended product outcomes against observed results to close the launch-to-learning loop: collect post-launch evidence, distinguish expected from observed from uncertain from inferred claims, update assumptions, assess feature health, and choose among continue/improve/harvest/pivot/pause/reti

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
44Stelle del repo
1Client
1Formati
6 g faUltimo aggiornamento
Skill
Autoremagnus919
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

Compare intended product outcomes against observed results to close the launch-to-learning loop: collect post-launch evidence, distinguish expected from observed from uncertain from inferred claims, update assumptions, assess feature health, and choose among continue/improve/harvest/pivot/pause/retire — including retirement lifecycles with deprecation, migration, customer treatment, and retained r

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skillclaude