Data Science & Analytics
A/B Test Designer
Rigorous experiments without the statistics PhD
7
VAL
6
FIT
7
EASE
6
ODOO
7
GC
2
RISK
6.6
Score
Why This Workflow Matters
The business case for implementing this workflow.
Poor experiment design is rampant: underpowered tests, p-hacking, missing guardrail metrics, and premature stopping plague most A/B testing programs. Only 15% of organizations have formal experiment design review processes. Bad experiments lead to bad decisions — shipping features that don't actually work or killing features that needed more time to show effects.
The Bigger Puzzle
How AI + Odoo creates something greater than the sum of its parts.
AI + Odoo Synergy
Test designs are stored in Knowledge as a growing library of experimental patterns. Project tracks experiment execution through defined milestones. Website integration enables direct deployment of web-based experiments. Post-experiment analysis documents are generated from the same templates, ensuring consistency from design to results. The organization builds experimental rigor systematically.
Odoo Apps Activated
Project
Documents
Website
Knowledge
Current Alternatives & Why They Fall Short
The existing solutions and their limitations.
Optimizely / VWO
A/B testing platforms with built-in experiment design, traffic allocation, and statistical analysis.
Optimizely: $50,000-$200,000/year enterprise. VWO: $200-$1,000/month
Limitations
- Web-focused — limited applicability for non-web experiments
- Built-in statistics are often oversimplified for complex experiments
- No comprehensive pre-registration or protocol documentation
- Separate system from project management and knowledge tracking
Why RebusAI is Better
RebusAI designs experiments for any domain — not just web. Generates comprehensive protocols with proper statistical methodology, pre-registration documents, and analysis plans. Connected to Odoo for project tracking and knowledge management.
Statistical Consulting
Organizations hire statistical consultants or rely on in-house statisticians for experiment design.
$200-$500/hour for statistical consulting — Or $120K-$180K/year for a full-time statistician
Limitations
- Expensive and scarce — most organizations cannot afford dedicated statisticians
- Bottleneck: teams wait days or weeks for design review
- Designs are typically delivered as emails or documents without tracking
- No standardized templates for team self-service
Why RebusAI is Better
AI provides instant access to rigorous experiment design without the bottleneck of scarce statistical expertise. Teams can self-serve for standard designs while complex cases are flagged for expert review.
Online Sample Size Calculators
Free web tools like Evan Miller's calculator or Google's sample size tool for basic power calculations.
Free — But cover only a fraction of experiment design needs
Limitations
- Only handle simple two-sample comparisons
- No comprehensive protocol design or documentation
- No guardrail metric selection or monitoring plans
- No organizational knowledge capture or design review process
Why RebusAI is Better
Complete experiment design — not just sample size calculations. Generates full protocols including randomization, monitoring, guardrails, analysis plans, and pre-registration documents. Captures designs in Odoo for organizational learning.
Implementation Approach
How to bring this workflow to life.
Extends the document generation workflow with statistical experiment design templates including power calculations, randomization specifications, and analysis plans. 2-3 week implementation.
Ready to Build This Workflow?
Turn A/B Test Designer into a competitive advantage with RebusAI + Odoo.
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