**CRITICAL**: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.
Creates A/B test plans by collecting parameters and generating hypotheses for conversion optimization.
/plugin marketplace add https://www.claudepluginhub.com/api/plugins/aitytech-agentkits-marketing/marketplace.json/plugin install aitytech-agentkits-marketing@cpd-aitytech-agentkits-marketingcommands/test/CRITICAL: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.
Standards: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.
Skills: Activate ab-test-setup, marketing-psychology, analytics-attribution skills.
Components: Reference ./.claude/components/interactive-questions.md
Question: "What level of A/B test planning do you need?" Header: "Scope" MultiSelect: false
Options:
Question: "What type of element are you testing?" Header: "Type" MultiSelect: false
Options:
Question: "What's your primary goal?" Header: "Goal" MultiSelect: false
Options:
Question: "What's your current traffic level?" Header: "Traffic" MultiSelect: false
Options:
Display summary:
## A/B Test Configuration
| Parameter | Value |
|-----------|-------|
| Test Element | [selected type] |
| Goal | [selected goal] |
| Traffic Level | [selected traffic] |
| Scope | [Quick/Standard/Complete] |
Question: "Create this A/B test plan?" Header: "Confirm" MultiSelect: false
Options:
Hypothesis Formation
Test Design
Implementation Plan
Analysis Framework
| Task | Agent | Trigger |
|---|---|---|
| Test design | conversion-optimizer | Primary task |
| Psychology review | brainstormer | Behavioral insights |
| Technical setup | researcher | Implementation guidance |
| Analytics setup | mcp-manager | Tracking configuration |
Format: "If we [change], then [metric] will [direction] because [reason]"
Example: "If we change the CTA from 'Sign Up' to 'Start Free Trial', then signup rate will increase by 15% because it reduces perceived commitment."
| Baseline Rate | 10% Lift | 20% Lift | 30% Lift |
|---|---|---|---|
| 2% | 19,000 | 4,800 | 2,200 |
| 5% | 7,700 | 1,900 | 900 |
| 10% | 3,900 | 1,000 | 450 |
| 20% | 2,000 | 500 | 230 |
Per variation, 95% significance, 80% power
## A/B Test: [Element]
**Hypothesis**: [If-then-because statement]
| Element | Value |
|---------|-------|
| Control (A) | [Current version] |
| Variant (B) | [New version] |
| Metric | [Primary metric] |
| Duration | [Estimated days] |
## A/B Test Plan: [Element]
**Hypothesis**: [Detailed if-then-because statement]
### Test Design
| Element | Value |
|---------|-------|
| Control (A) | [Description] |
| Variant (B) | [Description] |
| Primary Metric | [Metric name] |
| Secondary Metrics | [List] |
| Traffic Split | 50/50 |
| Sample Size | [Per variation] |
| Duration | [Estimated days] |
### Success Criteria
- Statistical significance: 95%
- Minimum detectable effect: [X%]
### Implementation Checklist
- [ ] Tracking setup
- [ ] QA verification
- [ ] Launch approval
[Include Standard + Full hypothesis analysis + Detailed sample size calculation + Segmentation plan + Analysis framework + Win/loss playbooks]
Save test plan to: ./docs/tests/ab-test-[element]-[YYYY-MM-DD].md