Resources

Glossary

A repository of acronyms, jargon, and useful words for product and customer teams.

ALL A C D E F G H I L M N O P Q R S T U V W

A

A/B testing

A/B testing, sometimes known as split testing, is a randomized process of presenting users with two different versions of a website—an A or a B version to observe which one performs better. Key metrics are then measured to see if variation 'A' or 'B' is statistically better at increasing business KPIs. Determining and implementing the winning variation can boost conversions and help with continuous improvement in customer experience.

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Accessibility

Accessibility is the practice of designing and developing digital products that everyone, including people with disabilities, can access and use.

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Active listening

Active listening is when before beginning to try to solve a customer's problems, you listen and understand your customer's feedback, needs, and insights. Design teams should make a conscious effort to listen to and engage with their customers, so customers can feel like their voices are being heard and understood.

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Active voice

The active voice is a form of writing that's more direct, concise, and explicitly states who's doing what. When UX writers use the active voice, it empowers users to take action and enables clear web copy.

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Actor

When customer journey mapping, the actor is the person who is experiencing the journey.

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Advanced UX research

Combine multiple different research methods in one study.

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Affinity mapping

Affinity mapping, also known as affinity diagramming, snowballing, or collaborative sorting, is the process of creating an affinity diagram. Simply put, it’s when you gather qualitative information about your users and group it by category.

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Agile

Agile has become the go-to development methodology for organizations that want to reduce the risk involved in shipping new products and features.

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Artificial intelligence

At its core, AI is the ability of computer systems to emulate human intelligence. AI relies on machines capable of learning, reasoning, and decision-making. Unlike conventional software, which operates based on preset rules, AI systems can evolve and enhance their performance over time.

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