Amplitude Announces Experiment Results to Help Every Company Make the Right Product Decisions at Scale

Rhea-AI Summary

Amplitude, Inc. has launched Experiment Results, a new feature within Amplitude Experiment, enabling organizations to integrate their existing feature flagging systems for enhanced experimentation. This addition allows teams to track and analyze product changes more effectively, reducing reliance on data science teams. Key features include Multi-Metric Causal Analysis, Downstream Analysis, and Automated Goals and Recommendations, aimed at accelerating decision-making and driving revenue growth. Amplitude continues to position itself as a leader in digital optimization.

Positive

• Launch of Experiment Results enhances Amplitude's experimentation capabilities.
• Integration with existing feature flagging systems allows for more efficient experimentation.
• Key features support data-driven decision-making, potentially increasing product innovation.
• The platform empowers non-technical teams to interpret results, promoting wider usage.

Negative

• None.

New offering allows organizations to pair homegrown and third-party feature flagging systems with Amplitude Experiment, Amplitude’s world-class experimentation platform

LAS VEGAS--(BUSINESS WIRE)-- Amplitude, Inc. (Nasdaq: AMPL), the pioneer in digital optimization, today announced the launch of Experiment Results, a new feature of Amplitude Experiment. Experiment Results empowers teams to plan, track, and analyze experiments to make smarter decisions while using their existing feature flagging system. Product and data science teams can now dramatically scale experimentation with Amplitude’s powerful self-service experimentation analysis built on the industry’s #1 ranked product analytics solution. Experiment Results delivers the data and analytics for teams to set goals, determine if experiments reach statistical significance and achieve their goals, and automatically provides recommended next steps.

The top product teams test all new features – often running tens of thousands of experiments to understand the impact of each product change. The biggest barrier to scaling product experimentation is having data and analytics to analyze the results of experiments. Many companies already have the infrastructure to deliver new experiments, but rely heavily on data science teams and homegrown infrastructures to formulate the results and provide recommendations on what to do next. Experiment Results removes those bottlenecks with self-service experimentation so that more teams can run more experiments quickly and efficiently. Starting today, companies can pair their existing feature flagging infrastructure with Amplitude’s sophisticated experimentation analysis capabilities to inform product decisions, accelerate innovation, and drive revenue.

“Winning product leaders use data-driven insights to determine what product changes to make. With Experiment Results, customers can exponentially increase the number of experiments they run, and get recommended next steps on their experiments,” said Justin Bauer, chief product officer at Amplitude. “This means non-technical teams can make smarter decisions faster at scale and ultimately deliver the right features that drive value for their customers and growth for their organizations.”

Key innovations include:

• Multi-Metric Causal Analysis: Experiment Results helps teams determine the causal, statistically significant outcomes of experiments, like identifying if users increased their average order spend due to the product change. It reduces the effort to define metrics, analyze data, and present results, supporting both sequential testing and t-test analysis within the Amplitude Experiment product.
• Downstream Analysis for Experiments: With predefined metrics and pre-populated charts, Experiment Results moves teams from experimentation to decision-making stages faster. Amplitude’s easy-to-understand dashboards enable cross-functional leaders to quickly share experiment results for accessible downstream analysis.
• Automated Goals and Recommendations: Experiment Results also guides users to set the right goals, automatically uncovers whether tests are statistically significant, and provides recommended next steps in a quick snapshot.

Experiment Results allows product and data scientists to scale their analysis services while empowering non-technical teams to interpret results. Learn more about Experiment Results here or request a custom Amplitude demo here.

Follow along via live stream, on Twitter, and on the Amplitude blog for more updates from Amplify 2022, the #1 product and growth conference, going on now through May 26, 2022.

About Amplitude

Amplitude is the pioneer in digital optimization software. More than 1,700 customers, including Atlassian, Instacart, NBCUniversal, Shopify, and Under Armour rely on Amplitude to help them innovate faster and smarter by answering the strategic question: "How do our digital products drive our business?" The Amplitude Digital Optimization System makes critical data accessible and actionable to every team — unifying product, marketing, developers, and executive teams around a new depth of customer understanding and common visibility into what drives business outcomes. Amplitude is the best-in-class product analytics solution, ranked #1 in G2’s 2022 Spring Report. Learn how to optimize your digital products and business at amplitude.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220525005004/en/

Communications

Darah Easton

press@amplitude.com

Source: Amplitude, Inc.

FAQ

What is the new feature launched by Amplitude on May 25, 2022?

Amplitude launched 'Experiment Results,' a feature that enhances their experimentation platform by integrating with existing feature flagging systems.

How does Experiment Results benefit product teams using Amplitude?

Experiment Results allows product teams to track, analyze, and make data-driven decisions faster, increasing the number of experiments run.

What capabilities does Experiment Results offer?

It includes Multi-Metric Causal Analysis, Downstream Analysis for experiments, and Automated Goals and Recommendations.

How will Experiment Results impact the use of feature flagging systems?

It enables organizations to pair their existing feature flagging systems with Amplitude's analytics, allowing for quicker and more efficient experimentation.

What is the significance of the launch for Amplitude's customers?

The launch provides customers with tools to conduct smarter experiments and make informed product decisions, driving innovation and revenue growth.