Warmer: expert help, one tap away

Discovery

Discovery and onboarding

Problem

Too many topics, too many experts, and too little guidance. Seekers left before finding the right person.

Solution

Fewer topics, chosen visually. Trending experts up front. An AI expert matcher alongside search.

Result

Part of the discovery redesign that drove 3x booking conversion, A/B tested across 50K+ monthly seekers.

Expert Matcher

Guide, do not interrogate

Problem

Search only works when you know what to type.

Solution

A short matcher and a chat that turn a few answers into matched experts, each with a reason why.

Result

A second front door to booking that sits next to search, not in front of it.

Booking

Near one-step booking

Problem

Booking an expert took about 20 steps across several screens.

Solution

One side sheet on web and one bottom sheet on mobile. Pick a time, confirm, done.

Result

Booking feels instant, and 51% of seekers returned to book again.

Supply

Expert profile and onboarding

Problem

Getting an expert live took 2 to 3 hours of setup.

Solution

A short guided flow for profile, topics, and availability. Profiles lead with lived experience.

Result

Experts go live fast, helping grow supply to 800+ experts.

Warmer design system

System

Tokens first, then components

Problem

Screens drifted across mobile and web, slowing engineering down.

Solution

One library of tokens and components, documented to a build-ready spec engineers could build from.

Result

Every value is a token, named the same in Figma, CSS, and Swift.

Workflow

AI-native prototyping

Problem

Static mocks could not answer how a flow felt in hand.

Solution

I used AI-native tools to prototype working flows, A/B test them, and hand engineering something real.

Result

Ideas moved from sketch to tested prototype in days, not weeks.