Drive growth with reliable A/B tests [OnDemand]

Experimentation is essential for driving growth and understanding the impact of new features.

But it can be difficult to run A/B tests correctly - peeking at results too soon, unreliable data, and broken workflows are just a few problems you could have.

What's the solution? We revealed all in this live session.

Catch the replay as we discussed everything you need to know about running reliable, impactful experiments to ensure you're making the right decisions every time.

Key takeaways:

• The essentials of a reliable experimentation system and practice.
• Steps for increasing your experimentation velocity
• Setting up experiments to measure core metric impact.
• How to turn your experimentation learnings into institutional knowledge.
  

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