Product Design Leader for B2B SaaS, Checkout & Design Systems.
Great design starts in the wild—not on an artboard. I watch people navigate messy systems, ask why it has to be this way, and turn those insights into delightful, simple tools.
Alongside my platform work, I’m building Better After, a small app that rethinks how people log movement when time and distance aren’t the point.
Top Wins
Building: led product design for Policy Crushers, a B2B SaaS platform that quotes ~$16B in premium each year.
Conversion: start-to-quote ~mid-70s (auto insurance) / ~mid-80s (home insurance) via micro-interactions (loading/polling, optimistic UI, cart).
Design system: tokens/components/docs → reuse ↑, defects ↓, delivery speed ↑.
Partner storefronts: templated theming → faster launches with less back and forth.
Experimentation: monthly analytics review → roadmap powered by learnings.
Observation → MVP: Better After, an in-progress web app that helps athletes log “moments after movement,” designed from coaching insights and built with AI-assisted development.
Featured work
Policy Crusher® Platform
Problem: Scale quoting/policy workflows across products/partners.
Role: Head of Product Design (discovery → ship).
Impact: quotes ~$16B annually; multi-product, multi-brand; accessible & performant at scale.
Quoting Experience Modernization
Problem: Mobile friction and drop-off.
Role: Flows, validation, micro-interactions.
Impact: start-to-quote ~mid-70s (auto) / ~mid-80s (home); perceived latency down via loading/polling, optimistic UI, cart pattern.
Better After
Problem: Tracking how movement feels.
Role: Product framing, UX, and solo PWA build (Vite/Vue), using AI to accelerate backend and scaffolding.
Status: Live, in-progress MVP for logging “moments after movement,” actively evolving based on real-world usage.
Multi-Brand Design System
Problem: Inconsistency + slow delivery.
Role: Tokens, components, docs, governance.
Impact: reuse ↑, confusion ↓, time-to-ship faster across pieces.
How I work
Discover & frame — Clarify goals, constraints, KPIs, often starting from real behavior in the wild.
Prototype & test — Ship realistic prototypes or small live bets and measure what people actually do.
Systematize — Productionize patterns in the design system, monitor and iterate over time—whether it’s a multi-brand B2B platform or a small, focused product like Better After.
About
I’m Mike Brennan, a product design leader and UX engineer with 15+ years shipping high-traffic web experiences across storefronts, checkout, and multi-brand design systems. I partner closely with PM and Engineering, bring an experimentation mindset, and sweat the details—micro-interactions, accessibility, and performance budgets. Alongside my platform work, I’m building Better After, a small web app that turns real-world coaching observations into an AI-assisted product experiment.