Experimentation - Page 2

Introducing Event Explorer: Your new tool for creating smarter metrics 

Event Explorer enables users to track, verify, and investigate events sent to LaunchDarkly, simplifying metric creation and improving data transparency.

Giannis Psaroudakis

Best practices for using flag targeting rules in an experiment

Scott Shindeldecker

Frequentist or Bayesian? The choice is yours with LaunchDarkly

To make your experimentation projects more customizable, we’re thrilled to introduce the option to choose between Frequentist and Bayesian statistic models.

Allison Rogers

LaunchDarkly enhances Snowflake data export – unlocking custom warehouse analysis

These enhancements will allow engineering, product, and data teams to create experiments within LaunchDarkly and export the audience data to conduct further advanced analysis right within their Snowflake workflows.

Allison Rogers

Introducing our new, guided metric creation experience

Whether you’re managing feature flags in real time or running controlled experiments, metrics allow you to see what’s moving the needle—and what needs adjusting. 

Giannis Psaroudakis

Building a culture of experimentation: the power of tiny gains

What I’m talking about here is making a better decision: using causal data to inform your decision making, so that your decision aligns most closely with the customer behaviors you’re looking to change.  

Scott Shindeldecker

Introducing enriched experiment results: empowering deeper release insights

We are excited to share our enriched experiment analytics – giving LaunchDarkly Experimentation users even more visibility into the results of their experiments so they can quickly make more informed decisions.

Allison Rogers

Running a seasonally themed signup experiment with LaunchDarkly and ExpressJS

In this tutorial you’ll learn how to run an A/B experiment to give your signup flow some 🍁seasonally themed flavor ☠️, using LaunchDarkly and ExpressJS. All experiments should start with a hypothesis. Will changing the design to be a bit spooookier increase our conversion rate? Let’s find out!

Tilde Thurium

Experimentation in financial services: 5 ways to increase customer engagement

Experimentation goes beyond personalization—it’s also about maximizing efficiency and reducing guesswork. 

LaunchDarkly

Using LaunchDarkly to target different audience segments within your Python Application

In this tutorial, you will learn how to create different user experiences in a Python application that provides two different playlist examples by leveraging LaunchDarkly's targeting rules and segments.

Erin Mikail Staples

Business in the front, party in the back: creating customized user experiences using Fastify JS and LaunchDarkly

Treating every user the same is risky when they may have different goals, dreams, desires, and features they care about. To provide the best experience, you want to customize your website based on what you know about your users. Luckily, LaunchDarkly makes it easy to do just that. In this tutorial, you will learn how to use segment targeting to show users with a .edu email address a student version of your website using LaunchDarkly and Fastify.

Tilde Thurium

Running your first A/B test in LaunchDarkly with JavaScript and Next.js

Learn how to set up, run, and analyze an A/B experiment in LaunchDarkly using a pre-built Next.js application. Follow our step-by-step guide to clone the Galaxy Marketplace Example App, configure it, and connect it to LaunchDarkly. After setting up your environment and installing the necessary dependencies, you'll create and test feature flags. Develop a hypothesis, set success metrics, and track user events to evaluate the impact of feature changes. Analyze your experiment data to determine the winning variation and implement changes based on your findings. Enhance user experience, increase conversion rates, and make informed product decisions with LaunchDarkly’s A/B testing capabilities.

Erin Mikail Staples

How to use funnel experiments in LaunchDarkly

Funnel experiments are more than just another tool in your experimentation toolbox—they’re essential for those who want to understand and optimize for the entire user journey. While A/B testing gives you a magnifying glass for single changes, funnel experiments provide relevant data across a user flow. If experimentation is a way of measuring the impact of a change made, funnel experiments calculate the best versions in a series of events or user flows. If you’re playing drop-off detective, funnel experiments can pinpoint where users vanish into the abyss. This tutorial will teach you how to set up, run, and analyze funnel experiments in LaunchDarkly.

Erin Mikail Staples

Embed powerful experiments into every feature release with LaunchDarkly

Cameron Savage

Experimentation in LaunchDarkly: feature roundup

Release meets experimentation Pairing feature management and release with experimentation is a natural fit for building exceptional user experiences. This combination allows you to understand the business impact of every release, from major features to minor bug fixes. You will no longer be rolling the dice and hoping for the best—experimentation allows you to measure, analyze, and fine-tune your product based on user data.  Having feature management and experimentation built into the same tooling and processes reduces the potential technical debt or miscommunication that can occur when bouncing between tools. Let’s dive into LaunchDarkly’s experimentation feature set and see what is possible.

Erin Mikail Staples

What is mobile app A/B testing? Benefits and best practices

Learn what mobile app A/B testing is, how it works, common use cases, and what the benefits are.

Erin Mikail Staples

Beta testing programs: everything you need to know

In this article, we'll look at what beta testing involves, the benefits it can offer and how you can implement it within your organization.

Brian Rinaldi

Targeted experiences with LaunchDarkly and Amazon Cognito

Brian Rinaldi

A guide to experimentation in LaunchDarkly

Get a step-by-step guide on how to run experiments in LaunchDarkly at an introductory (101) level.

Erin Mikail Staples

A beginner's guide to targeting with feature flags

Learn how to use feature flags and LaunchDarkly's targeting engine to deliver targeted experiences to any user, thing, or combination of users and things.

Brian Rinaldi

Out-of-the-box funnel experiments are here

Kellye King

An alternative to statistical significance for making decisions with experiments

How to reach the best decision for business outcomes more often, using expected utility.

Robert Neal