nahisaho growth-orchestrator
Overview
Orchestrates product growth loops from segmentation to experiment learning synthesis.
Orchestration Flow
- growth-user-segmentation -> 2) growth-funnel-analysis -> 3) growth-experiment-design -> 4) growth-copy-variants -> 5) growth-learning-synthesis
Input Contract
- Product growth objective and target metrics
- Audience and lifecycle context
- Historical experiment constraints
Output Contract
- Segment-level bottleneck diagnosis
- Experiment plan with variants
- Learning summary and next experiment backlog
Quality Gates
- Upstream outputs are complete and parseable before moving to next skill.
- Each step must include assumptions and confidence levels.
- Final response must include recommended next actions.
Fallback Policy
- If a sub-skill output is insufficient, request clarification and rerun that step.
- If constraints conflict, present at least two viable alternatives.
Verification Loop (v0.2.0)
PLAN → define scope, inputs, expected outputs
EXECUTE → run skill logic
VERIFY → check outputs against quality gates
REPORT → structured result for downstream skills
Quality Gates
- Explicit assumptions and constraints documented
- Clear decisions and rationale
- Actionable next steps provided