Tag • 13 Posts

Experimentation

Thumbnail for COVID-19 and the Evolution of Experimentation
Company, Industry Trends

COVID-19 and the Evolution of Experimentation

Split hits 1T feature flags served per month, and analyzes how COVID-19 has accelerated trends in digital transformation and feature experimentation.

Pato Echague
Thumbnail for How to Experiment During Extreme Seasonality
Industry Trends

How to Experiment During Extreme Seasonality

Visitor behavior may differ based on the day of the week or the time of the year. Be sure to account for that when defining the duration of your experiment.

Channing Benson
Thumbnail for Top Takeaways from AWS re:Invent 2019
Industry Trends

Top Takeaways from AWS re:Invent 2019

We had an amazing time at this year’s AWS re:Invent in Vegas. We were able to chat with more than 2,000 developers, operators, and cloud architects that stopped by. A few observations: Feature flags were a hot topic. We chatted with quite a few organizations that are already getting value…

Dave Karow
Thumbnail for How To Avoid Lying To Yourself With Statistics
Industry Trends

How To Avoid Lying To Yourself With Statistics

Great teams don’t run experiments to prove they are right; they run them to answer questions. Guard against wishful thinking and hidden biases with this shortlist of core principles for productive online controlled experiments. (Video, transcript and screenshots from talk given at Pinterest HQ on September 13, 2019)

Dave Karow
Thumbnail for Video: Experimentation for Speed, Safety & Learning in CD
Industry Trends

Video: Experimentation for Speed, Safety & Learning in CD

Here’s the video of my talk, “Experimentation for Speed, Safety & Learning in CD” delivered at QCon New York 2019. I’ve edited it down to 39 minutes, so you can easily fit this into a lunch hour or possibly a commute. Text and screenshots follow the video below. Transcript and…

Dave Karow
Thumbnail for The 5 Phases of a Feature Launch
Industry Trends

The 5 Phases of a Feature Launch

Feature launches in leading engineering teams increasingly look like a ramp rather than a one time switch, going through dogfooding, debugging, max power ramp, scalability and learning phases.

Adil Aijaz
Thumbnail for How to Choose the Right Metrics for Your Experiments
Features

How to Choose the Right Metrics for Your Experiments

In this post, we will talk about key experimentation concepts including how to choose your Overall Evaluation Criteria (OEC) for your experiments and how to increase the sensitivity of those metrics through metric filtering and metric capping.

Sophie Harpur
Thumbnail for Forrester: AD&D Pros Need to Stop Guessing and Start Experimenting
Industry Trends

Forrester: AD&D Pros Need to Stop Guessing and Start Experimenting

Learn how experimentation platforms help development teams test ideas directly with customers and enable continuous delivery with lower risk.

Lenore Adam
Thumbnail for Engineering Burnout: What it is and how Experimentation and Continuous Delivery can help
Industry Trends

Engineering Burnout: What it is and how Experimentation and Continuous Delivery can help

The effects of burnout can be significant for any software development organization, large or small. In this blog post, we discuss how burnout can be alleviated with an agile workflow powered by feature flags, a robust feature experimentation platform and incremental feature rollouts using continuous delivery.

Henry Jewkes

Stay up to date

Don’t miss out! Subscribe to our digest to get the latest about feature flags, continuous delivery, experimentation, and more.

Ready to get started?

Start using Split for free today. No credit card required.