Glossary

The UserTesting Contributor Network is a network of real people from more than 30 countries who opt-in to provide their perspectives on any product or experience. Their feedback is captured with the UserTesting Human Insight Platform, and typically returned in just a few hours. Our platform allows you to find the right audiences using demographic filters and custom screener questions, ensuring you receive fast high-quality feedback from your exact target audience.

The act of defining, finding and inviting representatives of your target audience into your user research or usability study.

Interactive Path Flows (IPFs) help you understand the behavioral data of the individuals who took your test. They illustrate the diverse paths users take to navigate a web-based experience you are testing.

A persona is a description of a user that details their characteristics, pain points, and sometimes some personality traits, intended to serve as an archetype for real uses to help teams anticipate user needs.

Personally Identifiable Information (PII) is data that could be used to contact and discover the identity of a living person. Since many contributors use their personal devices for recorded tests, which must adhere to certain policies, PII should always be taken seriously.

Phishing is a method of cyber attacking, with the hopes that an unsuspecting individual will consensually offer personal and sensitive data through a form of communication that appears reputable but isn’t. Commonly, the goal is identify theft or financial gain and the most-used method is through email.

Predictive analytics uses data, statistical algorithms, and machine learning techniques to predict future outcomes based on historical data.

Product management is the intersection of business, technology, and UX to strategically drive the vision, development, market launch, and continual support and improvement of an organization’s products.

Simple version of your final product, which you use to test the design before launch.

Typologie d’utilisateur pour lesquels le système est conçu. Contraindre et restreindre le public cible peut être utile pour résoudre les problèmes de conception, mais bien entendu, d’un point de vue commercial, réduit les limites des ventes et donc de taille de marché cible. Les paramètres typiques du public cible peuvent être l’âge, la CSP, l’expérience en Internet, les revenus, etc.