Engineers build features, but often view experimentation as someone else's job. They implement variants, then move on to the next ticket without seeing results.
ExperimentBets closes the feedback loop. When engineers bet on the code they write, they become invested in outcomes. They learn what works and build better intuition over time.
Common Challenges
Engineers disengage after shipping
Developers implement variants but rarely see results. No feedback loop to inform future work.
Resistance to testing
A/B testing is seen as extra work that slows down shipping. Engineers push back on running experiments.
No shared context
Engineers work on features without understanding the hypothesis. They miss optimization opportunities.
Wasted effort on losing variants
Teams spend weeks building features that fail experiments. No early signals to course correct.
How ExperimentBets Helps
Slack notifications to developers
Engineers see experiment results where they work. The feedback loop is automatic, not a meeting.
Betting creates ownership
When engineers bet on their code, they care about outcomes. Testing becomes part of shipping, not overhead.
Hypothesis visibility
Every experiment shows what's being tested and why. Engineers understand the context of what they build.
Early engagement signals
Betting patterns reveal team confidence. If nobody bets on a variant, reconsider before investing more.
"Our engineers now ask 'what did the experiment show?' before starting new work. That never happened before ExperimentBets."
Other Use Cases
ExperimentBets for Product Teams
Get your product team engaged with A/B testing
ExperimentBets for Growth Teams
Increase experiment velocity and team alignment
ExperimentBets for Data & Analytics Teams
Get organization-wide engagement with experiment results
ExperimentBets for Executive Leadership
Build experimentation culture from the top down