UX Research That Actually Changes the Roadmap
How to run research the PM and CFO will both fund — generative interviews, jobs-to-be-done, and evaluative testing tied to revenue, not opinions.
UX researchJTBDRoadmap
What's inside
- 1Why most research findings die in a Notion page
- 2Generative vs. evaluative: choosing the right method
- 3Jobs-to-be-done as a roadmap-shaping tool
- 4Tying findings to revenue and retention
- 5The research review ritual that keeps insight alive
Design System Governance That Scales (Without a Committee)
Federated contribution, public API discipline, and the metrics that prove your design system is paying for itself — patterns from 5+ enterprise rollouts.
Design systemGovernanceTokens
What's inside
- 1The governance trap: committees that block more than they enable
- 2Federated contribution model and the public API rules
- 3Token architecture: semantic + primitive, with theming
- 4Adoption metrics that prove ROI
- 5The deprecation lane every system eventually needs
Accessibility by Default: Shipping WCAG 2.2 Without the Last-Minute Panic
How accessibility lives in tokens, components, and CI — not in a frantic VPAT scramble two weeks before procurement.
AccessibilityWCAGInclusive design
What's inside
- 1Why accessibility audits at the end always under-deliver
- 2Tokens and components as the accessibility floor
- 3Automated checks in CI: axe, Pa11y, Lighthouse CI
- 4Manual review: keyboard, screen reader, cognitive load
- 5VPATs and procurement readiness without the panic
Service Design for Cross-Channel Products
When the customer's journey crosses digital, contact center, branch, and mobile — the blueprinting and orchestration patterns that hold it together.
Service designOmnichannelCX
What's inside
- 1Why digital UX alone doesn't fix cross-channel friction
- 2Service blueprints as the cross-functional artifact
- 3Front-stage / back-stage parity: the orchestration view
- 4Designing the contact center handoff (and the recovery)
- 5Measuring service-level outcomes across channels
Designing for AI Trust: Confidence, Citations, and the Override Path
How to design AI surfaces that experts actually trust — confidence cues, citation patterns, drafts vs. decisions, and the override path that keeps humans in control.
AI UXTrustCopilots
What's inside
- 1Why expert users abandon AI features within two weeks
- 2Confidence cues that don't lie
- 3Citation patterns: from RAG sources to internal records
- 4Drafts vs. decisions: where the human stays in the loop
- 5Override and feedback loops as design primitives