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UX STRATEGY • PRODUCT DESIGN

Research. Strategy. Systems Design. AI.

I design products that help people understand and trust systems they can't fully see — from machine vision overlays to GPS-connected hardware. That's been my work for over two decades. AI just made it more interesting. (See how I'm integrating AI into my design process.)

Video_overlay.png

Machine Vision

geneva-one.jpg

Wearable

nostradamus-convergence.png

AI • AGEnts

22

YEARS EXPERIENCE

3

TECHNOLOGY COMPANIES

Multiple

PATENTS FILED/GRANTED

01

Selected Work

Case Studies

Global Trend Engine

Designer & Builder

•

Self-Initiated

•

1 week

→

An agentic AI dashboard where three agents — a multi-persona scanner, Nostradamus, and Tarot — scan the web for frontier signals, synthesize patterns, and generate predictive convergence insights — designed, built, and deployed with Claude.

AI Product DesignAgentic SystemsData VisualizationFuturologyPrompt Engineering

Lytx Video Overlay

Senior UX Designer

•

Lytx

•

4 months

→

A dynamic video overlay that simplifies customer coaching conversations, improving user trust, and reducing contention rate to near zero.

Machine VisionUser ResearchVisual Design

Lytx Driver ID

Senior UX Designer

•

Lytx

•

3 months

→

A systematic user flow for assignment, distribution, and usage of QR codes to assign drivers to vehicles.

System DesignUser ResearchQA TestingHardware Prototyping

Timex Ironman ONE GPS+

UX Design Lead

•

Qualcomm / Timex

•

3 years

→

A full 0-to-1 product experience for athletes who wanted to track workouts, stay connected, and leave their phones behind.

FitnessWearablesPatentHardware UX

Tagg the Pet Tracker

UX Design & Product Management

•

Qualcomm

•

1.5 years

→

Redesign of a pet activity monitoring and management of iOS/Android app development as both UX lead and product manager.

Mobile DesigniOSAndroidSystem DesignProduct Management

FLO TV Personal Television

UX Design Lead

•

Qualcomm / FLO TV

•

1 year

→

Designing a new product category from the ground up: live mobile television.

Ethnographic ResearchUsability TestingUX DesignSystem DesignDesign Team Management

02

Expertise

Skills

User Research

Interviews, usability tests, ethnographic study, and contextual inquiry

Journey Mapping

End-to-end experience mapping across touchpoints

Interaction Design

Flows, wireframes, use cases, and high-fidelity mockups

Storytelling

Communicating design decisions to executives and cross-functional teams

Systems Thinking

Mapping connected flows and designing for scalability across surfaces

Prototyping

From low-fi click-throughs to high-fidelity AI coding

AI Fluency

Designing AI-powered experiences and using AI tools in the design process

Stakeholder Management

Cross-functional collaboration and design advocacy

Tools

Claude (Design/Code)

Research synthesis, design, prototyping, and documentation

Figma

Components, variants, auto-layout, and prototyping

Sketch

Vector UI design for components and high-fidelity screens

Axure RP

High-fidelity prototyping with conditional logic

Pendo

In-app guidance, feature tracking, and user surveys

Amplitude

Funnels, retention, and feature-adoption analysis

Dovetail

Centralized research insights and customer intelligence

Atlassian (Confluence/Jira)

Confluence for design documentation; Jira for planning and cross-functional tracking

03

Background

Experience & Education

2019 - Present

Senior Product Designer

Lytx • San Diego, CA

Research and design of user experience for video-safety and AI products, and development of an AI-native design process for the Product/UX team.

Design SystemsDesign LeadershipMachine Vision AIGenerative AI

2007 - 2018

Sr. Staff UX Designer & Sr. Product Manager

Qualcomm • San Diego, CA

Led 0-to-1 UX and product development for large-scale product start-ups while managing 3rd-party design teams.

Usability TestingPrototypingMobile DesignPatents

2003 - 2007

UI Designer

Nokia • San Diego, CA

Designed new phone features while serving as the only North American member of Nokia's global design-management team.

User TestingWireframingComponent DesignTechnical Writing

1998 - 2002

B.S. Symbolic Systems

Stanford University • Stanford, CA

Interdisciplinary study of computer science, linguistics, philosophy, and psychology with a concentration in human-computer interaction.

HCIComputer ProgrammingNLPCognitive Science

My Résumé

Name

Daniel Rivas

current role

Senior Product Designer

Location

San Diego, CA

04

Blog

Experiments & Musings

Daily Futurology Report

September 28, 2026 at 1:18:52 AM

Model:

Opus 4.8

Forecast:

2026-2028

Three labs built their own AI referee — and within a week critics called it powerless while state AGs and OpenAI itself demanded a real one, all while the rare-earth cliff held for Nov 10, PJM missed supply for the first time ever, the WMO called El Nino its most certain forecast on record, and Google's first orbital chips readied for an Oct 1 launch. Through 2028 the binding question isn't whether the models work — it's whether the power, the minerals and the rules can be switched on fast enough to matter, and who ends up holding each switch.

Here's the bet through 2028: the fight was never whether the models work — it's whether the power, the minerals and the rules can be switched on fast enough to matter, and who ends up holding each switch. This week made that harder to paper over. The labs built their own referee and couldn't point to a single thing it can force; the people it would regulate asked Congress for a real one instead. When you stand up a self-regulator and lobby for a federal one at the same time, that's a hedge, not a plan.


The evidence is on the calendar, not in the mood music. SAFA, a week old and already picked apart. State AGs writing Congress. A 417-3 House vote, dead in the Senate days later. A rare-earth suspension that lapses November 10. PJM missing supply for the first time and scrambling $20 billion for plants by September 30. A WMO El Nino call it says is the most certain it has ever made, peaking at year's end. Half a dozen clocks, all bunched into one quarter.


I'd watch October into December hardest. That's when the rare-earth cliff either lapses or gets waved off, when El Nino peaks and breaks whatever it breaks, when PJM's procurement either lands the megawatts or doesn't, when Google's first chips either survive orbit or don't, and when the midterms turn power bills into votes. A lot settles in one quarter, and given the year, I wouldn't bet the whole board on the calm read.


Worth holding loosely, though. A toothless self-regulator can grow teeth — FINRA did, eventually — and a deadline is a negotiation, not a wall; the rare-earth freeze already slipped once. The likeliest 2028 isn't one clean cliff, it's slippage: everything a little slower, a little more gas-fired, a little more governed-by-the-governed than anyone meant to admit. And the development I keep circling back to isn't on the countdown at all — this fall an edit inside a living body just kept working, while the rest of us argued about the whistle.

Cross-Domain Synthesis

Last week three labs stood up their own referee. This week everyone got a proper look at it and the arguing started. Nobody could point to a line in SAFA that lets it block a launch or fine anyone, and the worry is that its bar quietly locks out the open-source crowd. So in the same days, a coalition of state attorneys general — and, oddly, OpenAI itself — asked Congress for the mandatory federal rules the private body is supposed to substitute for. The question stopped being whether anyone regulates this and became which referee, and whether it has any teeth.


And here's the part that makes the referee fight look slow: the thing it's supposed to govern shipped two new versions while people argued. GPT-6 went stable, Gemini pushed another Flash, a household agent started running families' calendars. You can't write a standard for a model that's already a version behind by the time the ink dries.


Meanwhile the physical layers kept their own schedule, and theirs have dates on them. China's rare-earth freeze still lapses November 10 — the Trump-Xi visit to Washington bought a handshake, not a fix, and analysts still call it relief without resolution. PJM, the biggest grid operator in the country, failed to buy enough power for the first time ever, and its answer is a $20 billion scramble for plants it needs around September 30. The power gets built or it doesn't, and near-term the gap gets filled with gas.


That bill landed in politics fast. The House voted 417 to 3 to make data centers pay their own way, one senator killed the fast-track days later, and now it's a midterm issue with bills up double digits in Virginia, Illinois and Ohio. Overhead, Google's about to find out whether AI chips survive orbit — Suncatcher goes up October 1. Every one of these carries a date, and they're all stacked into the same eight weeks.


The thing that answers to none of the calendar is biology. A gene-edited pig kidney ran 271 days without dialysis and left the patient clean for a human transplant afterward; a delivery tweak just pushed in-body editing to 67% of a mouse liver in one shot. No cliff, no cloture vote, no summit. While everyone fights over who gets to hold the whistle, the quietest layer keeps compounding.

05

Horizon: Predictive convergence

Futurology Report — Daily

September 28, 2026 at 1:18:52 AM

AI Model:

Opus 4.8

Forecast:

2026-2028

Three labs built their own AI referee — and within a week critics called it powerless while state AGs and OpenAI itself demanded a real one, all while the rare-earth cliff held for Nov 10, PJM missed supply for the first time ever, the WMO called El Nino its most certain forecast on record, and Google's first orbital chips readied for an Oct 1 launch. Through 2028 the binding question isn't whether the models work — it's whether the power, the minerals and the rules can be switched on fast enough to matter, and who ends up holding each switch.

Here's the bet through 2028: the fight was never whether the models work — it's whether the power, the minerals and the rules can be switched on fast enough to matter, and who ends up holding each switch. This week made that harder to paper over. The labs built their own referee and couldn't point to a single thing it can force; the people it would regulate asked Congress for a real one instead. When you stand up a self-regulator and lobby for a federal one at the same time, that's a hedge, not a plan.


The evidence is on the calendar, not in the mood music. SAFA, a week old and already picked apart. State AGs writing Congress. A 417-3 House vote, dead in the Senate days later. A rare-earth suspension that lapses November 10. PJM missing supply for the first time and scrambling $20 billion for plants by September 30. A WMO El Nino call it says is the most certain it has ever made, peaking at year's end. Half a dozen clocks, all bunched into one quarter.


I'd watch October into December hardest. That's when the rare-earth cliff either lapses or gets waved off, when El Nino peaks and breaks whatever it breaks, when PJM's procurement either lands the megawatts or doesn't, when Google's first chips either survive orbit or don't, and when the midterms turn power bills into votes. A lot settles in one quarter, and given the year, I wouldn't bet the whole board on the calm read.


Worth holding loosely, though. A toothless self-regulator can grow teeth — FINRA did, eventually — and a deadline is a negotiation, not a wall; the rare-earth freeze already slipped once. The likeliest 2028 isn't one clean cliff, it's slippage: everything a little slower, a little more gas-fired, a little more governed-by-the-governed than anyone meant to admit. And the development I keep circling back to isn't on the countdown at all — this fall an edit inside a living body just kept working, while the rest of us argued about the whistle.

Signal Intensity

A domain-level score (0-100) representing the volume and momentum of frontier activity detected across the signals in that domain.

AI

96

%

Climate

93

%

BIOTECH

64

%

GEOPOLITICS

80

%

ENERGY

96

%

SOCIETY

89

%

SPACE

65

%

Cross-Domain Synthesis

Last week three labs stood up their own referee. This week everyone got a proper look at it and the arguing started. Nobody could point to a line in SAFA that lets it block a launch or fine anyone, and the worry is that its bar quietly locks out the open-source crowd. So in the same days, a coalition of state attorneys general — and, oddly, OpenAI itself — asked Congress for the mandatory federal rules the private body is supposed to substitute for. The question stopped being whether anyone regulates this and became which referee, and whether it has any teeth.


And here's the part that makes the referee fight look slow: the thing it's supposed to govern shipped two new versions while people argued. GPT-6 went stable, Gemini pushed another Flash, a household agent started running families' calendars. You can't write a standard for a model that's already a version behind by the time the ink dries.


Meanwhile the physical layers kept their own schedule, and theirs have dates on them. China's rare-earth freeze still lapses November 10 — the Trump-Xi visit to Washington bought a handshake, not a fix, and analysts still call it relief without resolution. PJM, the biggest grid operator in the country, failed to buy enough power for the first time ever, and its answer is a $20 billion scramble for plants it needs around September 30. The power gets built or it doesn't, and near-term the gap gets filled with gas.


That bill landed in politics fast. The House voted 417 to 3 to make data centers pay their own way, one senator killed the fast-track days later, and now it's a midterm issue with bills up double digits in Virginia, Illinois and Ohio. Overhead, Google's about to find out whether AI chips survive orbit — Suncatcher goes up October 1. Every one of these carries a date, and they're all stacked into the same eight weeks.


The thing that answers to none of the calendar is biology. A gene-edited pig kidney ran 271 days without dialysis and left the patient clean for a human transplant afterward; a delivery tweak just pushed in-body editing to 67% of a mouse liver in one shot. No cliff, no cloture vote, no summit. While everyone fights over who gets to hold the whistle, the quietest layer keeps compounding.

AI

SAFA's critics pile in as state AGs and OpenAI both press Congress for real federal rules

Hire Daniel Rivas

AI

Capability keeps shipping on a weekly cadence: GPT-6 Astra goes stable, Gemini 3.6/3.7 Flash and a new agent harness land

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Climate

WMO issues its most unequivocal ENSO call ever: near-100% El Nino through Feb 2027, 'very strong,' peaking at year's end

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Climate

Met Office: likely the largest since the 19th century; 75% chance it exceeds every El Nino since 1950

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Biotech

Gene-edited pig kidney runs 271 days dialysis-free — and leaves the recipient un-sensitized for a later human transplant

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Biotech

Prime-editing delivery takes a leap: chemically modified pegRNAs hit 67% liver editing in one dose, cut Pcsk9 96%

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Geopolitics

Rare-earth cliff holds for Nov 10 after the Trump-Xi Washington summit — 'relief without resolution'

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Geopolitics

Even with a truce, Washington won't stop de-risking — domestic processing, recycling and allied supply chains

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Energy

PJM misses supply for the first time ever — and opens a ~$20B, Sept 30 procurement for new plants through 2027

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Energy

PJM: 30+ GW of data-center peak by 2030, 97% of new large load — grid at the red line six times a decade

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Society

Ratepayer Protection Act clears the House 417-3, then a single senator blocks it in late September

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Society

Power bills go kitchen-table: +13% Virginia, +16% Illinois, +12% Ohio in a year as hotspot capacity costs spike past 1,000%

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Space

Google's Project Suncatcher launches Oct 1 — four TPUs to LEO on SpaceX Transporter-18

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Space

The roadmap behind the MVP: two sats by early 2027, 1km 81-satellite clusters, a market pegged near $28B

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ABOUT ME

Design Philosophy

I bring order to complexity; I've spent over two decades building the tools to do it well.

My path started at Stanford, where a degree in Symbolic Systems gave me something most designers don't have: a foundation that spans both sides of the human-computer divide. From the technical rigor of computer science and formal logic, to the human depth of cognitive psychology and knowledge representation, I learned to hold both perspectives at once and to design from the intersection.

That training became practice at Nokia, Qualcomm, and now Lytx, companies where the problems are large, the systems are complex, and the stakes are real. I've learned that the most important design decisions rarely live on a single screen. They live in the architecture, the mental models, the moments where a user either trusts the product or doesn't.

What drives me today is the challenge of making emerging technology feel human and trustworthy. AI systems can process the world faster than any person, but they still need to communicate their reasoning, surface the right information at the right moment, and earn the confidence of the people who depend on them. That translation problem, from machine intelligence to human understanding, is exactly the kind of complexity I've been working on.

42944735170_124e75130e_z.jpg
icon-systems-before-screens.png

Systems before screens

Every interface is a surface on top of a system. Understanding the system (the data flows, the user mental models, the organizational constraints) is what separates design that scales from design that just looks good in a mockup.

icon-emoji-strategy.png

Strategy and execution, not one or the other

I connect design decisions to business outcomes. That means being in the room when strategy is set, not just when wireframes need approval. It means being able to move between the 30,000-foot view and the pixel-level detail without losing either.

icon-emoji-stakeholder-mgmt.png

Trustworthy by design

The best technology earns trust before it demands it. Whether I'm designing a safety-critical AI product or the home screen on a fitness watch, I start with the question: what does this person need to feel confident taking action?

EDUCATION

B.S. Symbolic Systems

Stanford University

Concentration in HCI

BASED IN

San Diego, CA

CURRENTLY

Senior Product Designer

Lytx

OPEN TO OPPORTUNITIES

Principal/Senior-Level Product Design Roles

In San Diego or Remote

SELECTED WORK

Case Studies

1 week

Designer & Builder

Global Trend Engine

An agentic AI dashboard where three agents — a multi-persona scanner, Nostradamus, and Tarot — scan the web for frontier signals, synthesize patterns, and generate predictive convergence insights — designed, built, and deployed with Claude.

tagsContainer

​

Read More
Global Trend Engine

4 months

Senior UX Designer

Lytx Video Overlay

A dynamic video overlay that simplifies customer coaching conversations, improving user trust, and reducing contention rate to near zero.

tagsContainer

​

Read More
Lytx Video Overlay

3 months

Senior UX Designer

Lytx Driver ID

A systematic user flow for assignment, distribution, and usage of QR codes to assign drivers to vehicles.

tagsContainer

​

Read More
Lytx Driver ID

3 years

UX Design Lead

Timex Ironman ONE GPS+

A full 0-to-1 product experience for athletes who wanted to track workouts, stay connected, and leave their phones behind.

tagsContainer

​

Read More
Timex Ironman ONE GPS+

1.5 years

UX Design & Product Management

Tagg the Pet Tracker

Redesign of a pet activity monitoring and management of iOS/Android app development as both UX lead and product manager.

tagsContainer

​

Read More
Tagg the Pet Tracker

1 year

UX Design Lead

FLO TV Personal Television

Designing a new product category from the ground up: live mobile television.

tagsContainer

​

Read More
FLO TV Personal Television

EXPERTISE

Skills

icon-emoji-search.png

User Research

Interviews, usability tests, ethnographic study, and contextual inquiry

icon-emoji-journey-mapping.png

Journey Mapping

End-to-end experience mapping across touchpoints

icon-emoji-interaction-design.png

Interaction Design

Flows, wireframes, use cases, and high-fidelity mockups

icon-storytelling.png

Storytelling

Communicating design decisions to executives, stakeholders, and cross-functional teams

icon-emoji-systems-thinking.png

Systems Thinking

Mapping connected flows and designing for scalability across product surfaces

icon-emoji-prototyping.png

Prototyping

Interactive prototypes from low-fi click-throughs to high-fidelity AI coding

icon-emoji-ai-fluency.png

AI Fluency

Designing AI-powered experiences and leveraging AI tools in the design process

icon-emoji-stakeholder-mgmt.png

Stakeholder Management

Cross-functional collaboration and design advocacy

Tools

Pendo_logo.png

Pendo

In-app guidance, feature tracking, and user surveys to inform design decisions

dovetail_logo.webp

Dovetail

Centralized research insights, tagged findings, and shared customer intelligence repository

Figma_logo_transparent.webp

Figma

Components, variants, auto-layout, and prototyping

claude-color.png

Claude (Design & Code)

AI-assisted research synthesis, design critique, content generation, and prototyping

amplitude_logo.png

Amplitude

Product funnels, retention curves, and feature adoption to identify usage and priorities

gong_logo.png

Gong

Customer interview repository for surfacing pain points, testing designs, and grounding decisions

sketch-icon.webp

Sketch

Vector-based UI design for components, wireframes, and high-fidelity screens

rpicon.png

Axure RP

High-fidelity interactive prototyping with conditional logic and complex flows

cursor_logo.png

Cursor

AI-assisted coding for rapid prototyping and exploring technical feasibility

BACKGROUND

Experience & Education

Senior Product Designer

Lytx · San Diego, CA 

Researched and designed user experience for video safety and AI products, and developed an AI-native design process for the UX team. 

tagsContainer

​

2019 - Present

Sr. Staff UX Designer & Sr. Product Manager

Qualcomm · San Diego, CA 

Led 0-to-1 UX and product development for large-scale product start-ups while managing 3rd-party design teams.

tagsContainer

​

2007 - 2018

UI Designer

Nokia · San Diego, CA 

Designed new phone features while serving as the only North American member of Nokia's global design management team.

tagsContainer

​

2003 - 2007

B.S. Symbolic Systems

Completed interdisciplinary study of computer science, linguistics, philosophy, and psychology with a concentration in human-computer interaction.

tagsContainer

​

1998 - 2002

My Résumé

A full overview of my experience, skills, and education — ready to share.

NAME

Daniel Rivas

CURRENT ROLE

Senior Product Designer

LOCATION

San Diego, CA

EXPERIENCE

22 years

BLOG

Experiments & Musings

Like

✦     Human · Machine · Intelligence     ✦     Systems before screens     ✦     Strategy & execution     ✦     Trustworthy by design     ✦ 

Design Philosophy

06

ABOUT ME

42944735170_124e75130e_z.jpg

I bring order to complexity; I've spent over two decades building the tools to do it well.

My path started at Stanford, where a degree in Symbolic Systems gave me something most designers don't have: a foundation that spans both sides of the human-computer divide. From the technical rigor of computer science and formal logic, to the human depth of cognitive psychology and knowledge representation, I learned to hold both perspectives at once and to design from the intersection.

That training became practice at Nokia, Qualcomm, and now Lytx, companies where the problems are large, the systems are complex, and the stakes are real. I've learned that the most important design decisions rarely live on a single screen. They live in the architecture, the mental models, the moments where a user either trusts the product or doesn't.

What drives me today is the challenge of making emerging technology feel human and trustworthy. AI systems can process the world faster than any person, but they still need to communicate their reasoning, surface the right information at the right moment, and earn the confidence of the people who depend on them. That translation problem, from machine intelligence to human understanding, is exactly the kind of complexity I've been working on.

The surface

The Model

Every interface is a surface on top of a system.

The screen is the visible tip. The decisions that make a product trustworthy live underneath it — in the flows, the mental models, the constraints. That's where I start.

Screen / Interface

What the user sees

User mental models & needs

01

Interaction & info architecture

02

Data flows & system states

03

Organizational constraints

04

↓ Where the design decisions live

A

Systems before screens

Every interface is a surface on top of a system. Understanding the data flows, mental models, and organizational constraints is what separates design that scales from design that just looks good in a mockup.

B

Strategy and execution

I connect design decisions to business outcomes — being in the room when strategy is set, moving between the 30,000-foot view and the pixel-level detail without losing either.

C

Trustworthy by design

The best technology earns trust before it demands it. Whether a safety-critical AI product or a fitness-watch home screen, I start with: what does this person need to feel confident taking action?

Education

B.S. Symbolic Systems

Stanford University • Concentration in HCI

Based In

San Diego, CA

Available for remote

Currently

Senior Product Designer

Lytx, Inc.

Open To

Principal / Lead / Senior roles

San Diego or remote

07

Contact

Have a project in mind?

I'm open to new full-time opportunities, collaborations, and interesting conversations.

Linkedin

CONTACT DETAILS

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in mind?

I'm open to new full-time opportunities, collaborations, and interesting conversations.

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Daniel Rivas · UX Strategy & Product Design

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