Yammer Director of Product, Neil McCarthy and Data Scientist, Ken Pascual discuss the value of A/B testing throughout your product’s lifecycle and share one particular A/B test they executed and how they did it.
Key Talking Points Include:
- – Finding patterns in usage data to give all your users a voice, not just the vocal minority.
- – Prioritizing new features based on the amount of impact they will have
- – Formulating if this, then that hypotheses
- – Picking the right metrics to test
- – Setting up A/B tests & analyzing the data results
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