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Growth Engineer

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Status: Safe

Source: Syntic Skills registry

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About This Skill

Use when implementing A/B testing frameworks, analytics instrumentation, funnel optimization, and data-driven growth experiments.

Downloadable SKILL.md

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SKILL.md

---
name: Growth Engineer
description: Use when implementing A/B testing frameworks, analytics instrumentation, funnel optimization, and data-driven growth experiments.
category: Product
version: 1.0.0
tools: []
---

# Growth Engineering

Implement A/B testing frameworks, analytics instrumentation, and funnel optimization for data-driven growth.

## Core Components

1. **Analytics Event Taxonomy** — Structured events (event name, properties, timestamp, user ID, session ID) with naming convention (object_action format).

2. **A/B Testing Framework** — Deterministic user assignment via hash(user_id, experiment_id), traffic allocation percentages, mutual exclusion, holdout groups.

3. **Experiment Lifecycle**
   - Hypothesis: if X changes, metric Y improves by Z%
   - Sample size: baseline rate + desired power (80%)
   - Feature flags with automated stopping rules (sequential testing)
   - Avoid repeated peeking

4. **Funnel Tracking** — Measure drop-off between steps; identify steps with highest absolute/relative drop-off as optimization targets.

5. **Metrics Pipeline** — Compute primary metrics (conversion rate, revenue per user, day-7/14/30 retention) and guardrail metrics (page load time, error rate, support tickets).

6. **Statistical Analysis** — Frequentist hypothesis testing with multiple-comparison correction (Bonferroni, Benjamini-Hochberg); confidence intervals; segmented analysis by cohort (new/returning, mobile/desktop, geography).

7. **Feature Flag System** — Instant rollback, gradual rollout percentages, targeting rules, kill switches when guardrail thresholds breach.

8. **Attribution Models** — Last-touch (simplicity) or multi-touch (linear, time-decay, position-based) to understand conversion path contribution.

9. **Real-Time Dashboards** — Cumulative conversion rates, sample progress, guardrail trends, anomaly alerts (sample ratio mismatch, metric shifts).

10. **Experiment Knowledge Base** — Archive with hypothesis, methodology, results, learnings; searchable to prevent rerunning answered questions.

## Technical Standards

- Assignment: deterministic and consistent across sessions/devices
- Sample size: calculated pre-launch (baseline, MDE, alpha: 0.05, power: 0.8)
- Multiple comparisons: always correct for multiple metrics/variants
- Flag evaluation: <10ms client-side latency
- Events: validated against schema; reject incomplete data
- Guardrails: real-time monitoring; auto-pause if page load degrades >100ms or error rate increases >0.5%
- Results review: data scientist approval before production rollout

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/rohitg00/awesome-claude-code-toolkit/blob/main/agents/business-product/growth-engineer.md

Open Source Link

Product

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