Replace the basic CRUD experiment tracker with a scientifically rigorous A/B testing system:
- Add DiD analysis engine (services/experimentAnalysis.ts) that computes treatment vs control
group comparisons across 7 metrics (units, sessions, CVR, CTR, ROAS, revenue, ACOS)
- Implement Bayesian verdict system (Winner/Loser/Inconclusive) using posterior probability
with normal CDF approximation (Abramowitz & Stegun erf, no external deps)
- Build counterfactual time series for trend charts (actual vs estimated without change)
- Rewrite ExperimentsView as single component with 3 inline sub-views (list, detail, create)
replacing the previous modal-based ExperimentDetail and ExperimentForm
- Add control group support, change annotations (before→after diffs), and SEO experiment type
- New types: ExperimentChangeAnnotation, DiDMetricResult, DifferenceInDifferencesResult,
ExperimentVerdict
- Simplify App.tsx by removing experiment modal state (5 useState hooks eliminated)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add experimentMap/onOpenExperiment props to WeeklyRow component
- Export VendorDailyRow type from supabase.ts
- Fix type errors in experiments.ts (unknown[] to string[])
- Add type annotation for allAsins in App.tsx
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
New Features:
- Experiments tab with full CRUD operations
- Create experiments by ASIN or product line groups
- Track pricing, advertising, content, and promotion experiments
- Performance analytics with baseline vs experiment comparison
- Visual experiment badges in Weekly Sales grid
- Experiment detail view with metrics and learnings
Technical Changes:
- Add Supabase experiments table migration
- New services/experiments.ts for CRUD + calculations
- New components: ExperimentsView, ExperimentDetail, ExperimentForm, ExperimentBadge
- Integrate experiment indicators in WeeklyGrid
- Add navigation tab (desktop + mobile)
- Type definitions in types.ts
Usage:
1. Run SQL migration in Supabase
2. Navigate to Experiments tab
3. Create experiments with ASINs, dates, hypothesis
4. View performance lift after completion
5. See active experiments marked in Weekly Sales
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
Christian Vidal WolfandClaude Opus 4.6
