34 lines
1.6 KiB
Markdown
34 lines
1.6 KiB
Markdown
---
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name: analyze-sequences
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description: Evaluates live or completed email sequences, highlighting performance, deliverability, and experiment results.
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usage: /email-sequence-orchestration:analyze-sequences --sequence "Expansion Play" --window 14d --detail full
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---
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# Command: analyze-sequences
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## Inputs
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- **sequence** – program name or ID to analyze.
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- **window** – time horizon (7d, 14d, 30d, custom date range).
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- **detail** – summary | full to control verbosity.
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- **segment** – optional audience filter (persona, tier, region).
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- **compare_to** – optional baseline sequence or control group.
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## Workflow
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1. **Data Pull** – collect MAP + CRM metrics (deliverability, engagement, pipeline impact) within specified window.
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2. **Health Diagnostics** – evaluate KPI attainment, drop-off points, inbox placement, and fatigue risk.
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3. **Experiment Readout** – summarize running/closed tests with confidence intervals and recommended actions.
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4. **Insights & Actions** – generate prioritized playbook (optimize cadence, refresh content, escalate issues).
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5. **Handoff** – prepare recap doc plus suggested backlog updates for architect + ops teams.
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## Outputs
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- Performance dashboard snapshot with KPIs by touch, persona, mailbox provider.
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- Deliverability + QA alert summary referencing `deliverability-lead` incident logs.
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- Experiment insights memo (winners, next tests, rollout guidance).
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## Agent/Skill Invocations
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- `experiment-analyst` – interprets tests and recommends next experiments.
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- `deliverability-lead` – correlates reputation signals with performance dips.
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- `cadence-design` skill – flags pacing issues causing fatigue.
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---
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