Knowledge base

Concepts used across the HAAM website

Explore a shared glossary of methods, disciplines, and terms used in services, case studies, and articles. Search from the sidebar and jump directly to definitions.

UX (User Experience)

The overall quality of a person’s experience while using a product.

On this website, UX is the umbrella discipline that guides every service and case study. It focuses on usefulness, clarity, trust, and task completion.

Related: UI • Interaction Design • Accessibility • Conversion Rate Optimization

UI (User Interface)

The visual and interactive surface people use.

UI is the layer of layouts, controls, typography, spacing, and states. HAAM combines UI craft with data and research so screens are both beautiful and effective.

Related: UX • Design System • Interaction Design

Interaction Design

How interfaces behave when people use them.

Interaction design defines feedback, transitions, microinteractions, and flow logic. The site emphasizes high-signal interactions that reduce friction and guide attention.

Related: UI • Prototyping • Information Architecture

Design System

A reusable set of components, patterns, and standards.

A design system keeps products consistent and scalable. It includes tokens, components, interaction rules, and accessibility checks used across pages and products.

Related: Handoff • Accessibility • Component Library

Accessibility (WCAG)

Designing and building for people of all abilities.

Accessibility here means semantic structure, contrast, keyboard support, readable content, and inclusive interaction patterns aligned with WCAG guidance.

Related: UX • Audit • Inclusive Design

CRO (Conversion Rate Optimization)

Improving the percentage of visitors who take key actions.

CRO connects UX and business outcomes. It uses hypothesis-driven changes, message clarity, and friction removal to improve signups, purchases, and inquiries.

Related: A/B Testing • Analytics • User Journey

Data-Driven Design

Making design decisions using evidence, not guesswork.

This includes combining analytics, behavioral signals, and user feedback to prioritize improvements and measure impact over time.

Related: Analytics • Experimentation • KPI

Website Analytics

Measurement of user behavior and outcomes on a site.

Analytics helps identify where users drop off, which pages create value, and where performance or content issues are blocking results.

Related: Funnel • CRO • Event Tracking

Experimentation

Structured testing to validate product and design changes.

Experimentation can include A/B tests, multivariate tests, and smaller usability trials. The goal is learning fast with controlled risk.

Related: A/B Testing • Hypothesis • CRO

AI UX Audit

Evaluating AI-assisted user experiences for quality and safety.

An AI UX audit examines prompt quality, error handling, trust signaling, and transparency to ensure AI features are useful and responsible.

Related: Human Oversight • AI Safety • Interaction Design

AI Search Visibility

Improving discoverability in both search engines and AI answers.

This includes content structure, technical SEO, schema, and clear semantics that make pages easier for both crawlers and AI retrieval systems to understand.

Related: SEO • Structured Data • Content Strategy

SEO

Search Engine Optimization for organic discoverability.

SEO combines technical health, content quality, internal linking, metadata, and performance so the right users find the right pages.

Related: AI Search Visibility • Site Architecture • Metadata

Platform Localization

Adapting product language and experience by region.

Localization goes beyond translation. It includes cultural nuance, tone, examples, and interface expectations for each audience segment.

Related: Internationalization • Content Design • UX Writing

Product Thinking

Balancing user value, business goals, and technical reality.

Product thinking drives prioritization, scope, and sequencing. It ensures that design and engineering decisions create measurable progress.

Related: Roadmap • MVP • Outcome Metrics

Service Blueprint

A map of frontstage and backstage service operations.

Blueprints connect user-facing moments with internal processes, teams, and systems so experience gaps are visible and actionable.

Related: Journey Mapping • Operations • Systems Thinking

Journey Mapping

Visualizing end-to-end user steps, needs, and emotions.

Journey maps reveal friction points and decision moments, helping teams redesign experiences around intent and context.

Related: Service Blueprint • CRO • Research

Information Architecture

Organizing content so people can find and understand it.

IA structures navigation, labels, hierarchy, and taxonomy. The new knowledge base itself is an IA artifact built for discoverability.

Related: Navigation • Taxonomy • Content Design