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Zhongwei Li
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---
name: design-onboarding-journey
description: Builds persona-specific onboarding journeys with milestones, messaging, and measurement.
usage: /product-led-growth:design-onboarding-journey --persona "Admin" --tier enterprise --channels in-app,email --window 30d
---
# Command: design-onboarding-journey
## Inputs
- **persona** target persona or job-to-be-done (Admin, IC, Exec, Developer).
- **tier** plan/tier focus (free, pro, enterprise, beta).
- **channels** comma-separated channels (in-app, email, chat, docs).
- **window** onboarding time horizon (7d, 14d, 30d, custom).
- **metrics** optional activation KPIs to emphasize.
## Workflow
1. **Signal Review** pull activation metrics, qualitative feedback, and experiment data.
2. **Milestone Mapping** define aha moments, success metrics, and instrumentation requirements.
3. **Journey Blueprint** lay out steps, channel mix, triggers, and dynamic variants.
4. **Enablement Pack** create messaging, tutorials, and support resources.
5. **Measurement Plan** document KPIs, guardrails, and reporting cadence.
## Outputs
- Journey blueprint (diagram + table) with steps, channels, triggers.
- Content/messaging kit aligned to persona + milestones.
- Measurement + experiment plan with owners and timelines.
## Agent/Skill Invocations
- `product-adoption-strategist` architect journey + enablement.
- `usage-growth-scientist` supplies activation data + experiment ideas.
- `onboarding-blueprint` skill enforces structure + templates.
- `in-app-messaging-kit` skill populates message library.
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name: launch-in-app-experiments
description: Coordinates in-app experiments targeting activation, expansion, or monetization.
usage: /product-led-growth:launch-in-app-experiments --surface dashboard --goal activation --variants 3 --guardrails churn,latency
---
# Command: launch-in-app-experiments
## Inputs
- **surface** product area (dashboard, onboarding, billing, collaboration, mobile).
- **goal** activation | engagement | monetization | retention.
- **variants** number of experiment arms (including control).
- **guardrails** comma-separated guardrail metrics to monitor.
- **audience** persona/segment targeting (role, plan, region, cohort).
- **notes** optional context or risk flags.
## Workflow
1. **Hypothesis Intake** capture hypotheses, prior learnings, and success metrics.
2. **Design Package** define variant specs, targeting, triggers, and messaging.
3. **Instrumentation & Guardrails** ensure events, tracking, and guardrails are wired.
4. **Launch & Monitoring** deploy experiment, monitor metrics, trigger alerts.
5. **Readout Prep** summarize results, decisions, and follow-up actions.
## Outputs
- Experiment brief with hypotheses, variants, and instrumentation checklist.
- Guardrail + monitoring dashboard snapshot.
- Readout template with decision + rollout recommendation.
## Agent/Skill Invocations
- `usage-growth-scientist` leads experiment design + analysis.
- `product-adoption-strategist` ensures journey alignment + messaging.
- `in-app-messaging-kit` skill generates variant messaging + prompts.
- `usage-health-scorecard` skill monitors guardrails + success metrics.
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name: operationalize-pql-routing
description: Builds scoring, routing, and follow-up workflows for product-qualified leads.
usage: /product-led-growth:operationalize-pql-routing --segment startup --threshold 80 --destinations crm,cs --alerts true
---
# Command: operationalize-pql-routing
## Inputs
- **segment** cohort focus (startup, scaleup, enterprise, education, region).
- **threshold** minimum PQL/PQA score for routing.
- **destinations** systems/teams to notify (crm, cs, marketing, product-qualified team).
- **playbook** optional follow-up play (upsell, adoption, expansion, churn-save).
- **alerts** true/false to include Slack/email alerts for SLA breaches.
## Workflow
1. **Signal Review** evaluate telemetry, entitlement, and intent fields for the segment.
2. **Scoring Model** configure scoring weights, decay rules, and enrichment mapping.
3. **Routing Map** define ownership, queue priority, and automation triggers.
4. **Playbook Assembly** package messaging, assets, and SLAs for each destination.
5. **Monitoring Hooks** establish dashboards + alerts for backlog, conversion, and SLA adherence.
## Outputs
- PQL scoring + routing spec (JSON/CSV + narrative).
- Automation checklist for CRM/CS/rev tools.
- Follow-up playbook with sequences, assets, and owners.
## Agent/Skill Invocations
- `pql-ops-lead` owns scoring design + routing automation.
- `product-adoption-strategist` ensures messaging + enablement align to journey.
- `pql-framework` skill standardizes scoring methodology.
- `usage-health-scorecard` skill monitors conversion + health metrics.
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