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Proctor is a A/B testing framework written in Java that enables data-driven product design at Indeed. Proctor consists of data-model, client specification, matrix builder, and java and javascript code generators
Category
A/B Testing Free Software
Features
• Consistent tests across multiple applications, services, and tools • Group adjustments without code deploys • Rule-based group assignment for segmenting users • Human-readable test format • Overriding test groups during internal testing • Java and JavaScript code generation for A/B tests groups
License
Open Source
Price
Contact for Pricing
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Company
Proctor
What is best?
• Group adjustments without code deploys • Rule-based group assignment for segmenting users • Human-readable test format • Overriding test groups during internal testing • Java and JavaScript code generation for A/B tests groups
What are the benefits?
• Easy to use method of testing group membership • Support rule-based group assignment for segmenting users • Uses a human readable test format which makes it easier for users to use Proctor • Allows adjustments to test definitions to be deployed independently of code
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.4
8.5
Features & Functionality
7.4
9.2
Advanced Features
7.5
6.5
Integration
7.6
8.7
Performance
7.6
9.2
Training
9.0
Customer Support
7.5
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Implementation
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Renew & Recommend
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Bottom Line
Proctor is a A/B testing framework written in Java that enables data-driven product design and consists of data model, client satisfaction, matrix builder, and java and JavaScript code generators.
7.5
Editor Rating
8.5
Aggregated User Rating
2 ratings
You have rated this
Proctor is an A/B testing framework that provides a standard JSON representation of test definitions and allows adjustments to those definitions to be deployed independently of code. Proctor is written in Java that enables data-driven product design and consists of data model, client satisfaction, matrix builder, and Java and JavaScript code generators. Proctor includes a builder that combine a set of test definition files into a single text matrix file, while also ensuring that the definitions are internally consistent, and do not refer to undefined bucket values. The builder used by Proctor can be invoked directly from Java or via an Ant task or Maven plugin. The code generation provided by Proctor offers an easy to use the method of testing group membership. These tests test for membership rather than non-membership; therefore, it eliminates the risk of getting that conditional behavior in unintended circumstances. Proctor also uses an open source Java web application that makes it accessible over HTTP, which allows doing A/B testing in applications written in non-JVM languages. One of the features offered by Proctor is consistent tests. The regular tests run across multiple applications, services, and tools. Proctor also provides an excellent platform that facilitates grouping adjustments without code deploys. Proctor delivers a unique platform to support rule-based group assignment for segmenting users. The segmented users include logged in users and the logged out users. Proctor also uses a human-readable test format which makes it easier for users to use Proctor. The A/B testing framework, Proctor provides overriding test groups that are used during internal testing. Proctor also uses Java and JavaScript code generation for A/B tests groups.
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