35 lines
1.6 KiB
Markdown
35 lines
1.6 KiB
Markdown
---
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name: prioritize-hypotheses
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description: Scores experiment backlog using impact, confidence, effort, and guardrail readiness.
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usage: /growth-experiments:prioritize-hypotheses --source backlog.csv --capacity 6 --framework rice
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---
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# Command: prioritize-hypotheses
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## Inputs
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- **source** – backlog file, experiment tracker, or Notion database ID.
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- **capacity** – number of experiments that can run in the next sprint/cycle.
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- **framework** – ice | rice | custom; determines scoring weights.
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- **guardrails** – optional JSON/CSV for mandatory guardrail requirements.
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- **filters** – tags or OKRs to focus on (acquisition, activation, retention, monetization).
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## Workflow
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1. **Data Ingestion** – load backlog, normalize fields, and enrich with latest metrics.
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2. **Scoring Engine** – calculate ICE/RICE/custom scores, factoring guardrail readiness.
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3. **Portfolio Mix** – ensure balance across funnel stages and surfaces; flag conflicts.
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4. **Capacity Planning** – fit highest-value tests into available slots, accounting for owners + effort.
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5. **Decision Pack** – generate prioritized list, rationale, and trade-off notes for approval.
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## Outputs
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- Ranked backlog with scores, dependencies, and guardrail status.
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- Capacity plan showing selected tests plus waitlist.
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- Decision memo summarizing trade-offs and next actions.
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## Agent/Skill Invocations
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- `experimentation-strategist` – orchestrates prioritization + governance alignment.
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- `insight-analyst` – validates data quality and metric assumptions.
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- `hypothesis-library` skill – links past learnings to current ideas.
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- `guardrail-scorecard` skill – enforces readiness requirements.
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---
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