AI-native product design leader

AI Native
Design
Leader

Hello, I’m Yvonne Doll. I lead by building: I set vision, align EPD, and stay hands-on, turning complex AI product ideas into working prototypes and scalable systems. In my free time, I make music and am an abstract oil painter.

hello@ydoll.me

See my work

Leading
by building

Read Kustomer workflow case study →

At Kustomer, I led the shift from static handoffs to designing and prototyping alongside product and engineering.

Four layers. Making design judgment repeatable: a start.

01GUIDE

Design rules + reusable skillsGUIDE 01

Codify Design Judgment

Answers: What should guide the work?

Make design intent, standards and repeatable methods available where the work happens. Give AI the context to help, and people a shared basis for review.

## What the guidance contains

R-07Destructive actions state the blast radius before confirming.

R-19Error copy states what happened, then what to do. Never “Something went wrong.”

R-24Tables over 50 rows ship with filter and column sort.

R-31AI suggestions stay visually distinct until the user accepts them.

## Output

A reusable reference for creating and reviewing work against design intent.

Instructions guide the work. They do not prove the result meets the standard.

02CONSTRAIN

Tokens, components + guardrailsCONSTRAIN 02

Make the Right Thing Easier

Answers: Which decisions should the system carry?

Build repeatable decisions into tokens, components and configuration. Make approved patterns easy to reuse, and define the limits of what can change.

## What belongs in the system

Tokens — shared values instead of disconnected styling decisions. · Components — reusable behavior and approved variants. · Configuration — flexibility with explicit boundaries. · Guardrails — warnings or enforced limits, depending on the risk.

## Output

A choice like primary, instead of raw CSS.

GOOD<Button variant="primary" size="medium" />

NOTbackground: #4263EB; padding: 12px 18px; border-radius: 6px

03VERIFY

Checks + AI-assisted reviewVERIFY 03

Check the Work, Then Investigate

Answers: Where does the output diverge from the intent?

Use automated checks for measurable requirements and AI-assisted review to surface potential design and copy issues. Validate findings against the code and the running experience.

## What a useful finding includes

Fail: R-07Destructive action lacks blast radius

Found“Are you sure?”

Fix“Update this tool? 5 procedures will be affected.”

Fail: R-19Generic error copy ×3

Found“Something went wrong”

Fix“Couldn’t save the tool. Check the required fields and try again.”

Pass: R-02Contrast ≥ 4.5:1 — 48 / 48 text nodes

Pass: R-31AI suggestion styled distinct — 12 / 12

## Output

A reviewable list of findings, with confirmed issues separated from suggestions that need investigation. A passing check covers what it tested. It is not a guarantee of overall UX quality.

04GOVERN

Decision rights + triageGOVERN 04

Keep Judgment Human

Answers: Who decides what happens next?

Set clear boundaries for automation and ownership for decisions. Weigh user impact, confidence and reversibility before choosing what to fix, escalate or defer.

## Decision boundaries

Automate — repeatable actions within explicit permissions and tested limits.

Escalate — uncertain or high-impact findings for human review.

Defer deliberately — record an owner, rationale and follow-up for accepted work.

## Learning loop

Finding → Validate → Fix, escalate or track → Review the outcome → Update guidance

Range | Depth

I lead product design teams and build alongside them. On complex projects, I use prototypes to help the team see what’s possible and decide what to build.

I am an abstract oil painter; I write songs, and play guitar in an indie rock band. Both shape how I design: Leave some space, and be willing to change direction when a better idea shows up.

Organizational Impact

WordPress/Jetpack | Kustomer

As Head of Design at Kustomer. com, I led the design org through a transformation to native AI cross-functional workflows, shaving concept-to-validation time from days to hours through streamlined collaboration,

At WordPress (Automattic), I spearheaded five AI launches for 27M+ users across 14 products, achieving a 58% productivity boost. I also designed and implemented a lean research program, which was widely adopted by the company.

SEE Organizational Impact →

Craft

VARIOUS

Craft is in the details and the questions you ask before designing an experience. What’s someone trying to get done? What happens if things go sideways?

I use data to see where a workflow breaks down. With AI, we can quickly prototype different ways through it and make decisions in the flow itself, from the order of the steps to the line of copy that makes the next move clear.

UX/UI CRAFT →

Range | Depth

I lead product design teams and build alongside them. On complex projects, I use prototypes to help the team see what’s possible and decide what to build.

I am an abstract oil painter; I write songs, and play guitar in an indie rock band. Both shape how I design: Leave some space, and be willing to change direction when a better idea shows up.

Thought Currents

All blog posts →

Zero UI

A thought excercise UX teams

Rabbit/Sloth hybrid, a Slobbit if you will

AI: The death of the handoff

Breaking the grid with Kim.

The Museum of Abandoned AI Features

Welcome to the Museum of Abandoned AI Features, where every exhibit began with the sentence, ‘Could we put a copilot in it?’

Work

Impact

Thought Currents

About

Resume ↗

Contact me

AI Native
Design
Leader

I lead product design teams and work hands-on on complex AI products, from shaping the problem to building prototypes.

AI Native.

Leader.

CHICAGO, IL · OPEN TO TRAVEL OR RELOCATE

FIG. 01 · THE ELEPHANT IN THE VIBE CODE

HELLO@YDOLL.ME

AI-Native: Leading
by building

AI-native: Leading by building

At Kustomer, I led the shift from static handoffs to designing and prototyping alongside product and engineering. We shaped the experience together, with working prototypes to test our decisions.

AI Workflow case study →

Days →hrs

Idea to Prototype

↑40%

design capcity (by points)

01GUIDE

design-rules.mdGUIDE 01

Codify Design Judgment

Answers: What is right?

Turn recurring design decisions into reusable instructions for humans and AI.

## Excerpt · rules 07, 19, 24, 31

R-07Destructive actions state the blast radius before confirming.

R-19Error copy states what happened, then what to do. Never “Something went wrong.”

R-24Tables over 50 rows ship with filter and column sort.

R-31AI suggestions stay visually distinct until the user accepts them.

## Output

Version-controlled guidance that gives designers, engineers, and AI a shared baseline.

This layer guides behavior. It does not guarantee compliance.

02CONSTRAIN

Tokens, components + guardrailsCONSTRAIN 02

Make the Right Thing Easier

Answers: Which decisions should the system carry?

Build repeatable decisions into tokens, components and configuration. Make approved patterns easy to reuse, and define the limits of what can change.

## What belongs in the system

## Output

A choice like primary, instead of raw CSS.

GOOD<Button variant="primary" size="medium" />

NOTbackground: #4263EB; padding: 12px 18px; border-radius: 6px

03VERIFY

Checks + AI-assisted reviewVERIFY 03

Check the Work, Then Investigate

Answers: Where does the output diverge from the intent?

Use automated checks for measurable requirements and AI-assisted review to surface potential design and copy issues. Validate findings against the code and the running experience.

## What a useful finding includes

Fail: R-07Destructive action lacks blast radius

Found“Are you sure?”

Fix“Update this tool? 5 procedures will be affected.”

Fail: R-19Generic error copy ×3

Found“Something went wrong”

Fix“Couldn’t save the tool. Check the required fields and try again.”

Pass: R-02Contrast ≥ 4.5:1 — 48 / 48 text nodes

Pass: R-31AI suggestion styled distinct — 12 / 12

## Output

A reviewable list of findings, with confirmed issues separated from suggestions that need investigation. A passing check covers what it tested. It is not a guarantee of overall UX quality.

04GOVERN

Decision rights + triageGOVERN 04

Keep Judgment Human

Answers: Who decides what happens next?

Set clear boundaries for automation and ownership for decisions. Weigh user impact, confidence and reversibility before choosing what to fix, escalate or defer.

## Decision boundaries

Automate — repeatable actions within explicit permissions and tested limits.

Escalate — uncertain or high-impact findings for human review.

Defer deliberately — record an owner, rationale and follow-up for accepted work.

## Learning loop

Finding → Validate → Fix, escalate or track → Review the outcome → Update guidance

Range | Depth

I lead product design teams and build alongside them. On complex projects, I use prototypes to help the team see what’s possible and decide what to build.

I am an abstract oil painter; I write songs, and play guitar in an indie rock band. Both shape how I design: Leave some space, and be willing to change direction when a better idea shows up.

04:06

Shaping product direction

WordPress/Jetpack | Kustomer

I try to steer abstract conversations back to the use cases. What’s someone trying to get done, and what does the product need to do to help? I use data to frame the problem and talk to customers to understand what’s behind it.

I’ve led both product and design at two startups. That experience shapes how I bring a strong product perspective into decisions about what to build first and what to change after launch.

See organizational impact →

Craft

VARIOUS

Craft is in the details and the questions you ask before designing an experience. What’s someone trying to get done? What happens if things go sideways?

UX/UI/Design Craft →

Kind words from excellent humans

I'm proud of the tight relationships I've built with my colleagues. I help build supportive, innovative, and action-oriented teams that uplift one another and collaborate to create exceptional work. A rising tide lifts all boats.

★ Featured ★

Arkady Sokolov

AI Product Leader | ClickUp

“Yvonne is a cheetah-mounted hot pink laserbeam”

At Kustomer she killed the handoff. Not metaphorically. She moved the entire design org out of static specs and into AI-native co-creation with engineering: prototyping directly in IDEs, testing outputs against real data, shipping in hours instead of days. She codified the whole thing into reusable markdown-based skills (prompt structures, fidelity…

Jeffrey Zeldman

Executive Creative Director | Automattic

“Yvonne Doll is a one-in-a-million, multi-talented designer, artist, musician, and, above all, design leader”

It was my pleasure and privilege to watch Yvonne mentor, encourage, inspire, and support the Jetpack design team. Beyond being a model colleague, she’s also tremendous fun, supremely cool, and somehow, despite being fun and cool, a grownup and mensch. I would hire her myself if I were in a position to do so, and consider myself fortunate indeed if she…

Thought Currents

All blog posts →

04 · 9/2026

AI Native
Design
Leader

Leading
by building

Codify Design Judgment

Make the Right Thing Easier

Check the Work, Then Investigate

Keep Judgment Human

Range | Depth

Organizational Impact

Craft

Range | Depth

Thought Currents

Zero UI

AI: The death of the handoff

The Museum of Abandoned AI Features

AI-Native: Leading
by building

AI-native: Leading by building

Codify Design Judgment

Make the Right Thing Easier

Check the Work, Then Investigate

Keep Judgment Human

Range | Depth

Shaping product direction

Craft

Kind words from excellent humans

“Yvonne is a cheetah-mounted hot pink laserbeam”

“Yvonne Doll is a one-in-a-million, multi-talented designer, artist, musician, and, above all, design leader”

Thought Currents

CROSSFADE 02: THE CLICK & THE GRID

CrossFade 01: The Abstract Painter's Product Mind

The Museum of Abandoned AI Features

Bad UI Now Has a Meter Running

AI NativeDesignLeader

Leading by building

Codify Design Judgment

Make the Right Thing Easier

Check the Work, Then Investigate

Keep Judgment Human

Range | Depth

Organizational Impact

Craft

Range | Depth

Thought Currents

Zero UI

AI: The death of the handoff

The Museum of Abandoned AI Features

AI-Native: Leading by building

AI-native: Leading by building

Codify Design Judgment

Make the Right Thing Easier

Check the Work, Then Investigate

Keep Judgment Human

Range | Depth

Shaping product direction

Craft

Kind words from excellent humans

“Yvonne is a cheetah-mounted hot pink laserbeam”

“Yvonne Doll is a one-in-a-million, multi-talented designer, artist, musician, and, above all, design leader”

Thought Currents

CROSSFADE 02: THE CLICK & THE GRID

CrossFade 01: The Abstract Painter's Product Mind

The Museum of Abandoned AI Features

Bad UI Now Has a Meter Running

AI Native
Design
Leader

Leading
by building

AI-Native: Leading
by building