01
Start with a clear hypothesis
Write each hypothesis as a card: what you are changing, what metric you expect to move, and by how much. A specific hypothesis makes it easy to judge whether the experiment succeeded.
// A/B Testing
Test, measure, decide.
Track every experiment from initial hypothesis to final decision. Your growth team sees which tests are running, which need analysis, and what the data says.
Hypothesis
3Shorter signup form (3 fields vs 6) will increase conversion by 15%
Conversion
Bottom-sticky CTA on mobile will improve checkout rate
UX
Annual pricing shown first will shift plan mix toward yearly
Pricing
Design
2Create variant B for onboarding wizard with progress bar
UX
Design pricing page with annual toggle defaulted to on
PricingConversion
Running
2Test: hero headline A vs B - running since May 2, n=4200
Conversion
Test: checkout with/without trust badges - 70% traffic
Conversion
Analyzing
2Review: dark mode default increased session duration 22%
UX
Check statistical significance on free trial length test
Pricing
Decided
2Winner: simplified nav reduced bounce rate by 11% - shipped
UX
Inconclusive: email subject line test - needs larger sample
Conversion
02
Tag experiments by metric area
Use Conversion, UX, and Pricing labels to categorize tests. This lets your growth team filter the board to see all active conversion experiments or all pricing tests at once.
03
Track running tests with key details
When a test goes live, add start date, traffic split, and current sample size to the card description. Update weekly so anyone checking the board knows the test status without asking.
04
Document decisions, not just winners
Move every test to Decided with a clear outcome: Winner, Loser, or Inconclusive. Include the actual numbers. Future you will thank past you when planning the next round of experiments.
01 What is an A/B testing board?
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An A/B testing board tracks experiments from hypothesis through design, execution, analysis, and decision. Each card represents a specific test, making it easy to see which experiments are running, which need analysis, and what your team has learned.
02 Can I customize the labels for my experiments?
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Yes. Flux labels are fully editable. Add labels like Revenue, Engagement, Retention, or Mobile to categorize experiments by the metric or platform they target. Filter by label to review related tests together.
03 How does Flux help manage A/B testing programs?
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Flux gives your growth team a shared view of every experiment in flight. Real-time sync means results and status changes are visible instantly. Use checklists for launch criteria, the activity log to track when tests started and ended, and the multi-board view to see experiments alongside your product roadmap.
// Run smarter tests
Data-driven decisions.
No credit card. Track experiments with real-time sync, metric labels, and a complete decision log.