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Peak Velocity

The Statsig Blog. Peak Velocity covers the latest in feature management, experimentation, analytics, and more

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Ryan Musser

Head of Solutions Engineering, Statsig

Ryan Musser, currently the Head of Solutions Engineering at Statsig, brings a wealth of experience from his career in the tech industry. At Roompact, as Chief Technology Officer, Ryan was instrumental in developing innovative solutions for reducing conflicts among college roommates, and his tenure at New Relic saw him honored as the Global SE of the Quarter.

His roles at Intercom and Segment further solidified his expertise, particularly during Segment's acquisition by Twilio, where he played a key role in adapting businesses to the digital demands of the pandemic.

Ryan has a knack for communicating complex challenges in a simple way, and loves teaching in person as much as teaching passively through written content.

In his free time, Ryan can be found practicing martial arts and hanging out with his family.

Experiment scorecards: Essentials and best practices

Ryan Musser
Fri May 31 2024
An experiment scorecard is more than just a collection of numbers; it's a narrative of your experiment's journey from hypothesis to conclusion.   Read More ⇾

How to improve funnel conversion

Ryan Musser
Fri May 24 2024
Conversion funnels represent users' flow toward a specific objective or behavior. Regardless of what those are, there are tried-and-true methods to increase conversion rates.   Read More ⇾

How to debug your experiments and feature rollouts

Ryan Musser
Wed May 22 2024
Whether you're a data scientist, a product manager, or a software engineer, you know that even the most meticulously planned test rollout can encounter unexpected hiccups.   Read More ⇾

Introducing Experiment Templates: Streamline your A/B testing

Ryan Musser
Tue May 21 2024
Use Experiment Templates to standardize and accelerate your experimentation process. Keep what works, and change what doesn't.   Read More ⇾

No code product experimentation using layers on Statsig

Ryan Musser
Fri Apr 26 2024
Layers in Statsig allow variables (parameters) to be shared by many experiments. This means that once a Layer is integrated into your app's code, you can easily modify it.   Read More ⇾

Mastering marketplace experiments with Statsig: A technical guide

Ryan Musser
Fri Apr 19 2024
Marketplace experiments can have a ripple effect, impacting buyers, sellers, and the health of your platform. Here's how to experiment effectively.   Read More ⇾

When to use Bayesian experiments: A beginner’s guide

Ryan Musser
Tue Apr 16 2024
Where frequentist statistics assigns probabilities to data, Bayesian assigns probabilities to hypotheses. Here's why some experimenters opt for the latter.   Read More ⇾

Running experiments on Google Analytics data using Statsig Warehouse Native

Ryan Musser
Tue Apr 16 2024
Leveraging Google Analytics data for experimentation is powerful. Statsig Warehouse Native can help.   Read More ⇾

The distinction between experiments and feature flags

Ryan Musser
Fri Mar 29 2024
At Facebook, our team lived through the transition from experimenting with just feature flags, to "quick experiments." Here's what we learned:   Read More ⇾

The semantic layer and Statsig: A partnership for better experimentation

Ryan Musser
Mon Oct 02 2023
A semantic layer serves as a centralized translator, bridging the gap between the data storage and the data consumers while promoting data integrity.   Read More ⇾

Modernizing the Customer Data Stack

Ryan Musser
Mon Apr 18 2022
Modern tech companies are evolving the way that they build their customer data infrastructure at an incredibly fast rate.   Read More ⇾
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At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
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Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
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At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
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We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
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