UX Research
Contextual inquiry, moderated usability testing, diary studies, surveys, evaluative research, and evidence-backed decision making.
Customer experience design for digital services
Design the service. Govern the system. Measure the outcome.
A technical CX practice model integrating UX research, service design, accessibility engineering, content design, design systems, digital governance, and experience analytics for complex civic, government, and enterprise platforms.
Capability MapAI-ready
Research evidence
- Interviews
- Usability testing
- Behavior analytics
- Surveys
Service logic
01Citizen enters
02Eligibility check
03Application process
04Approval & completion
Accessible UI
WCAG 2.2 AA
Keyboard navigation
Screen reader support
Semantic structure
Structured content
Content modelMetadataTaxonomyReusable componentsContent governance
Design system
Tokens
Typography
Components
Patterns
Experience data
Task success94%
Completion rate89%
CSAT4.8/5
Customer effort1.7
Service designResearchOpsWCAG 2.2Content designDesign systemsAnalytics
Component-based practice model
CX as a digital capability platform.
Modern customer experience design extends beyond the decorative layer on top of websites. It is an operational system that connects user evidence, service delivery, accessibility, content operations, interface governance, and performance measurement.
Service Design
Journey mapping, service blueprinting, channel strategy, ecosystem mapping, JTBD, and operational handoff design.
Accessibility Engineering
WCAG 2.2, semantic HTML, ARIA decisioning, keyboard interaction models, focus management, and assistive technology validation.
Content Design
Plain language, information architecture, taxonomy, metadata, structured content, editorial workflows, and governance.
Experience Analytics
Task success, service completion, CES, CSAT, SUS, time on task, funnel analysis, search analytics, and support deflection.
Digital Governance
Design system governance, research repositories, content lifecycle controls, standards adoption, quality assurance, and release criteria.
Methodologies used by mature web teams
Trace decisions from need to release.
Discovery + service framing
Define user groups, service outcomes, policy constraints, technology dependencies, channel boundaries, and measurable decision criteria.
Current-state journey mapping
Map touchpoints, user needs, pain points, content gaps, eligibility logic, system friction, and abandonment patterns.
Service blueprinting
Connect frontstage UI, backstage workflows, systems of record, CMS content, CRM data, notifications, and support operations.
ResearchOps
Standardize recruitment, consent, protocol design, tagging, synthesis, repository governance, and insight reuse across teams.
Accessibility validation
Test semantic structure, accessible names, keyboard operability, focus order, error messaging, and screen reader output.
Continuous measurement
Instrument product analytics around task completion, service completion, time on task, error recovery, adoption, and support escalation.
Experience architecture
The front end is only one layer.
Customer experience quality depends on the relationships between CMS content, information architecture, identity, search, forms, CRM data, analytics, notifications, design systems, and service operations.
User need
Policy rule
Content model
Interface pattern
System dependency
Service metric
Standards, patterns, and governance signals
Make the implementation legible.
The practices of accessibility used by web teams include: accessibility conformance, reusable components, design tokens, content models, research repositories, release governance, and analytics instrumentation.
WCAG 2.2
USWDS patterns
Design tokens
Semantic HTML
ARIA APG
Content models
Research repositories
Analytics taxonomies
Experience analytics
Measure service performance, not vanity traffic.
Task success rateService completion rateCustomer Effort ScoreSystem Usability ScaleCSATTime on taskSearch refinement rateSupport deflection
Human-centered design ecosystem