feature-launch-playbook

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The operational playbook for launching a feature well. Positioning, internal alignment, customer comms, sales enablement, support readiness, rollout strategy, monitoring with pre-defined rollback triggers, post-launch measurement against spec hypotheses, and the discipline that distinguishes shipping from releasing from actually launching. Triggers on launch plan, feature launch, launch checklist, ship vs release, rollout strategy, gradual rollout, sales enablement, support readiness, launch announcement, post-launch measurement, launch failure, declared victory too early. Also triggers when planning a launch (any size, any segment), auditing an existing launch process, fixing the we shipped it but the metric did not move problem, or building a launch checklist for the team.

AI & Automation 476 stars 62 forks Updated 1 weeks ago MIT

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Skill Content

# Feature Launch Playbook A veteran PM-leader's playbook for launching features well, not just shipping them. Most teams conflate shipping, releasing, and launching. Shipping means engineering work is complete. Releasing means users can access it, even if it is behind a flag at 1 percent. Launching is the discipline of positioning, internal alignment, customer comms, sales enablement, support readiness, rollout strategy, monitoring, and post-launch measurement that turns "feature exists" into "feature lands." A feature that ships without launching costs you the same engineering investment but captures a fraction of the value. Sales does not know how to sell it. Support does not know how to help with it. Customers do not notice it. The metric you said you would move does not move because nobody knows the feature is there. This skill is the operational playbook. It assumes you have already written the spec (`pm-spec-writing`), prioritized it onto the roadmap (`roadmap-planning`), instrumented it (`product-analytics-setup`), and possibly tested it (`experiment-design`). The launch is the next discipline: how to actually get the feature in front of the right users, with the right context, in a way that lets you measure whether it worked. When to use this skill: planning a launch (any size, any segment), auditing an existing launch process, fixing the "we shipped it but the metric did not move" problem, or building a launch checklist for the team. --- ## What this skill is ...

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Author
rampstackco
Repository
rampstackco/claude-skills
Created
3 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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