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Tips & Tricks for Building Your Experimentation Program

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product experimentation

Ask an Experimenter: Kevin Chen, Growth PM at Reddit

Welcome to the third installation of Ask an Experimenter, a new series where we interview experts about how they are building a culture of experimentation at their companies. This interview features Kevin Chen, Growth Product Manager at Reddit. Kevin works on the strategy, roadmap, and execution of push notifications and email products for Reddit. Tell us a […]

How to Avoid Building the Wrong Product? Make Your Product Roadmap Your Experimentation Roadmap

We often hear that product development teams don’t have an experiment backlog or that they struggle to come up with experiment ideas. Almost certainly, though, you have a product roadmap. This list of problem-solution pairs includes the features that will certainly help you defeat the competition. Well, maybe. No matter how much data analysis, user […]

Product Experimentation Pitfalls, Post #5: Failing to Scale Across Teams

Product Experimentation Pitfalls, Post #5: Failing to Scale Across Teams

This is the final post in our Product Experimentation Pitfalls blog series, written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series.    So far in this series, I’ve highlighted several pitfalls on the path to product experimentation. We’ve seen how some common mistakes can slow down […]

Product Experimentation Pitfalls, Post #4: Measuring and Driving Experiment Velocity

Product Experimentation Pitfalls, Post #4: Measuring and Driving Experiment Velocity

This is the fourth post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series.  So far in this series, we’ve talked about the hidden challenges that can stop experimentation from getting off the ground, like getting tricked by statistics, or choosing […]

Product Experimentation Pitfalls, Post #3: Getting Tricked by Statistics

Product Experimentation Pitfalls, Post #3: Getting Tricked by Statistics

This is the third post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series.  Analyzing an A/B test is deceptively simple. You count up how many conversions happened in each variation, you divide by the number of users exposed […]

Product Experimentation Pitfalls, Post #2: Experimenting Without Enough Traffic

Product Experimentation Pitfalls, Post #2: Experimenting Without Enough Traffic

This is the second post in our Product Experimentation Pitfalls blog series written by Optimizely’s Director of Product Management, Jon Noronha. See here for more information on this 5-part series.  An experiment is like a metal detector. When there’s valuable treasure close to the surface, it’s an incredible tool that can lead you straight to the gold. […]

How Vivid Seats Ensures Experimentation Success

How Vivid Seats Ensures Experimentation Success

Last week, we had an opportunity to host a webinar featuring Bill Hinderman, the Experimentation Engineering Lead at Vivid Seats. During the hour long webinar, Bill covered everything from his own experience with experimentation to the Optimizely Full Stack implementation at Vivid Seats, and he even dropped in some fun analogies along the way. There […]

When Experimentation and Alignment Collide

When Experimentation and Alignment Collide

At Optimizely, our product team meets each week to discuss experiments we plan to run in our products. It’s an open meeting called “Experiment Review” and we use it to share best practices and ensure we’re running high quality experiments. This week in Experiment Review a debate sprung up around an experiment proposal. This debate […]