Slash Command292 estrellas del repoactualizado 2d ago

workflow-post-launch-learning

This workflow orchestrates post-launch measurement and learning by sequencing five interconnected tasks: defining event tracking specifications, designing analytics dashboards, documenting feature results with analysis, conducting a team retrospective, and documenting lessons for organizational retention. Use it after shipping a feature to establish measurement infrastructure, evaluate performance against goals, and systematize insights from the launch experience for future product decisions.

Ver fuente Repositorio: pm-skills

Instalar en Claude Code

Copiar

mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/product-on-purpose/pm-skills/HEAD/commands/workflow-post-launch-learning.md -o ~/.claude/commands/workflow-post-launch-learning.md

Después abre una sesión nueva de Claude Code; el slash command carga automáticamente.

Definición

workflow-post-launch-learning.md

Run the Post-Launch Learning workflow to set up measurement, evaluate results, and capture learnings after a feature ships.

This workflow uses multiple skills in sequence. For each step, read the skill instructions and follow them to create the artifact.

## Workflow Steps

### Step 1: Instrumentation Spec

Use the `measure-instrumentation-spec` skill from `skills/measure-instrumentation-spec/SKILL.md`.

Define event tracking and analytics instrumentation requirements for the shipped feature.

### Step 2: Dashboard Requirements

Use the `measure-dashboard-requirements` skill from `skills/measure-dashboard-requirements/SKILL.md`.

Specify the analytics dashboard including metrics, visualizations, and data sources.

### Step 3: Experiment Results

Use the `measure-experiment-results` skill from `skills/measure-experiment-results/SKILL.md`.

Document the results of the feature launch with analysis and recommendations.

### Step 4: Retrospective

Use the `iterate-retrospective` skill from `skills/iterate-retrospective/SKILL.md`.

Facilitate a team retrospective covering the full feature lifecycle.

### Step 5: Lessons Log

Use the `iterate-lessons-log` skill from `skills/iterate-lessons-log/SKILL.md`.

Distill retrospective findings into durable lessons for organizational memory.

## Output

Create all five artifacts in sequence. Steps 1-2 should happen at or before launch; Steps 3-5 after data accumulates.

Reference the Post-Launch Learning workflow at `_workflows/post-launch-learning.md` for additional guidance.

Context from user: $ARGUMENTS

Del mismo repositorio

pm-changelog-curatorSubagent

pm-criticSubagent

pm-release-conductorSubagent

pm-skill-auditorSubagent

pm-workflow-orchestratorSubagent

workflow-customer-discoverySlash Command

Run the Customer Discovery workflow (research -> JTBD -> opportunities -> problem)

workflow-design-sprintSlash Command

Run the Design Sprint workflow (5-day prototype-and-test arc producing a Decider's build/iterate/pivot/stop call)

workflow-feature-kickoffSlash Command

Run the Feature Kickoff workflow (problem -> hypothesis -> PRD -> stories)