Why Tech Loves A/B Tests (And What Health Can Learn)
In tech:
- A/B testing is used to:
- Optimize click-through rates
- Test new features
- Improve revenue
In health and development:
- Stakes are different:
- We’re dealing with well-being, safety, and sometimes life-or-death
But we can borrow experimentation ideas carefully.
What A/B Testing Looks Like in Health
Examples:
- Testing two reminder messages for clinic appointments
- Comparing two formats of health education materials
- Evaluating two outreach strategies for vaccination
Key safeguards:
- Ethical review and approvals
- Informed consent where appropriate
- Clear principle: no group is offered worse than current standard of care
How This Relates to RCTs
A/B tests are, in essence:
- Simple randomized controlled trials with:
- A small number of arms
- Large samples
- Clear short-term outcomes
Differences:
- In tech: outcomes are often clicks and purchases
- In health: outcomes are attendance, adherence, health status, equity
How a Junior Analyst Can Contribute
- Help design:
- Outcome measures
- Randomization procedures
- Help implement:
- Data collection tools
- Analysis pipelines
- Help interpret:
- Not just “did it work?” but “for whom?” and “why?”
Experimentation in health requires both rigor and humility. If you can bring both, you’ll be a huge asset.