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More and more teams are looking for ways to iterate gradually and validate their ideas with data. Techniques like A/B testing, feature flagging, and gradual rollouts are quickly going from niche to mainstream. More experimentation means faster development and better products.
But like any trend, product experimentation is a good idea that can easily go wrong. For every game-changing A/B test, there’s a trail of testing mistakes that led well-meaning teams down the wrong path.
In this webinar, Jon Noronha, Director of Product Management at Optimizely, shares some common ways he’s seen A/B testing go wrong, along with tips for avoiding these pitfalls.
What you’ll learn:
- The most common mistakes product teams make when running experiments
- How to scale experimentation across multiple teams and squads
- How the world’s top technology companies are able to experiment on all product decisions