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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.)

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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 5, 2026 at 12:07:34 AM

Model:

Opus 4.8

Forecast:

2026–2028

Capability is cheap; its foundations are now dated: GPT-6 Astra caps four frontier launches in 72 hours, but PJM runs a first-ever backstop auction 6.8 GW short, China's rare-earth rule is armed for a November enforcement date, utilities seek $9.4B in rate hikes as ~70% oppose the next data center, and NOAA says the El Niño turns record-strong this month — even as Intellia's in-body CRISPR clears Phase 3. Through 2028 the binding constraint is power, minerals and consent, not intelligence.

Here's the bet through 2028. The AI question isn't “how smart” anymore — that got answered, and the answer is cheap. It's whether the industry can physically build what the models run on, and secure it, before a stack of deadlines all comes due at once. Concrete and consent, not IQ.


The receipts landed the same week. Four frontier models in three days, capped by GPT-6 Astra. PJM more than six gigawatts short and running an emergency auction at ten times the old price. China's mineral rules armed and dated to November. Utilities asking for $9.4 billion in rate hikes while seven in ten people say no to the next data center, with well over $100 billion of projects already stalled this year. Every one of those is a clock, and most of them read this fall.


I'd watch September through next spring hardest. That's when PJM finds out whether the money buys real megawatts or just shoves the shortfall to 2028, when Beijing decides whether to actually let the November rule bite, when the El Niño peaks and starts breaking the things it's forecast to break this month, and when Starcloud either flies Blackwell in October like it promised or quietly slips the date. The capability curve climbs the entire time. It's just not the line that matters.


Worth holding this loosely, though. Cheap money is very good at conjuring power nobody modeled — a reactor restart, gas behind the meter, a deal that never touches the auction. Intellia clearing Phase 3 is a reminder the durable, boring wins can show up faster than the scary ones. And the public mood softens fast if the disruption stays dull, which so far it mostly has — right up until the bill arrives. The fences are real and going up. That's not the buildout stopping; it's the buildout getting slower, weirder and pricier than the market's pricing in.

Cross-Domain Synthesis

The tell this week wasn't a benchmark. OpenAI shipped GPT-6 Astra on Wednesday at ten dollars in, fifty out — the fourth frontier model in 72 hours, after Fable 5.1, Gemini 3.8 Flash and Muse Spark 1.3 — and about the only people who noticed were the ones repricing their API bills. When a top-tier model lands every couple of days, “how smart” stops being the interesting question. The interesting question is whether the world can supply what the smart thing eats, and whether the neighbors will keep letting it eat.


Power first, because it's the hardest wall. PJM — the grid for about 65 million people — came up 6.8 gigawatts short and is running the first backstop auction in its 18-year history, hunting up to 15 gigawatts of new generation to plug a hole that barely existed a few auctions ago. Capacity's clearing at roughly ten times what it cost two years back. The hyperscalers' fix is to stop asking the grid: more nuclear signed in eighteen months — 9.8-plus gigawatts across 13 deals — than the country managed in the prior twenty years. Except almost none of that steel is hot yet. The first restart doesn't feed a data center until 2027.


Then the inputs and the neighbors, tightening together. China widened its rare-earth licensing again — samarium, gadolinium, lutetium — and floated a rule that any foreign product with even a trace of Chinese-origin material needs a license; enforcement's paused until November, which is a countdown, not a reprieve. And the neighbors have found the one number that turns a zoning fight into a campaign: the electric bill. Utilities asked for $9.4 billion in rate hikes in just the first three months of the year, bills are up better than seven percent, and roughly seven in ten people now say keep the data center out of my town. That's on the ballot in four states.


Off to the side, two forces that don't file paperwork. NOAA now thinks the El Niño becomes the strongest on record this month — not next year, this month — peaking through winter no matter what any auction clears. And in the clinic, Intellia's one-shot CRISPR became the first in-body gene edit to clear a Phase 3, a single infusion that rewrites a gene and holds. One wrecks things on a physical clock; the other fixes them on a regulatory one. Neither is waiting in an interconnection queue.


So the next two years don't look like a leaderboard. They look like a wall of due dates — PJM this month, China in November, the El Niño peak this winter, the orbital data centers nobody's really flown pushed out to 2027. The models keep getting cheaper and better the whole way through. That just stopped being the variable that decides anything.

05

Horizon: Predictive convergence

Futurology Report — Daily

September 5, 2026 at 12:07:34 AM

AI Model:

Opus 4.8

Forecast:

2026–2028

Capability is cheap; its foundations are now dated: GPT-6 Astra caps four frontier launches in 72 hours, but PJM runs a first-ever backstop auction 6.8 GW short, China's rare-earth rule is armed for a November enforcement date, utilities seek $9.4B in rate hikes as ~70% oppose the next data center, and NOAA says the El Niño turns record-strong this month — even as Intellia's in-body CRISPR clears Phase 3. Through 2028 the binding constraint is power, minerals and consent, not intelligence.

Here's the bet through 2028. The AI question isn't “how smart” anymore — that got answered, and the answer is cheap. It's whether the industry can physically build what the models run on, and secure it, before a stack of deadlines all comes due at once. Concrete and consent, not IQ.


The receipts landed the same week. Four frontier models in three days, capped by GPT-6 Astra. PJM more than six gigawatts short and running an emergency auction at ten times the old price. China's mineral rules armed and dated to November. Utilities asking for $9.4 billion in rate hikes while seven in ten people say no to the next data center, with well over $100 billion of projects already stalled this year. Every one of those is a clock, and most of them read this fall.


I'd watch September through next spring hardest. That's when PJM finds out whether the money buys real megawatts or just shoves the shortfall to 2028, when Beijing decides whether to actually let the November rule bite, when the El Niño peaks and starts breaking the things it's forecast to break this month, and when Starcloud either flies Blackwell in October like it promised or quietly slips the date. The capability curve climbs the entire time. It's just not the line that matters.


Worth holding this loosely, though. Cheap money is very good at conjuring power nobody modeled — a reactor restart, gas behind the meter, a deal that never touches the auction. Intellia clearing Phase 3 is a reminder the durable, boring wins can show up faster than the scary ones. And the public mood softens fast if the disruption stays dull, which so far it mostly has — right up until the bill arrives. The fences are real and going up. That's not the buildout stopping; it's the buildout getting slower, weirder and pricier than the market's pricing in.

Signal Intensity

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

AI

95

%

Climate

96

%

BIOTECH

70

%

GEOPOLITICS

83

%

ENERGY

96

%

SOCIETY

92

%

SPACE

68

%

Cross-Domain Synthesis

The tell this week wasn't a benchmark. OpenAI shipped GPT-6 Astra on Wednesday at ten dollars in, fifty out — the fourth frontier model in 72 hours, after Fable 5.1, Gemini 3.8 Flash and Muse Spark 1.3 — and about the only people who noticed were the ones repricing their API bills. When a top-tier model lands every couple of days, “how smart” stops being the interesting question. The interesting question is whether the world can supply what the smart thing eats, and whether the neighbors will keep letting it eat.


Power first, because it's the hardest wall. PJM — the grid for about 65 million people — came up 6.8 gigawatts short and is running the first backstop auction in its 18-year history, hunting up to 15 gigawatts of new generation to plug a hole that barely existed a few auctions ago. Capacity's clearing at roughly ten times what it cost two years back. The hyperscalers' fix is to stop asking the grid: more nuclear signed in eighteen months — 9.8-plus gigawatts across 13 deals — than the country managed in the prior twenty years. Except almost none of that steel is hot yet. The first restart doesn't feed a data center until 2027.


Then the inputs and the neighbors, tightening together. China widened its rare-earth licensing again — samarium, gadolinium, lutetium — and floated a rule that any foreign product with even a trace of Chinese-origin material needs a license; enforcement's paused until November, which is a countdown, not a reprieve. And the neighbors have found the one number that turns a zoning fight into a campaign: the electric bill. Utilities asked for $9.4 billion in rate hikes in just the first three months of the year, bills are up better than seven percent, and roughly seven in ten people now say keep the data center out of my town. That's on the ballot in four states.


Off to the side, two forces that don't file paperwork. NOAA now thinks the El Niño becomes the strongest on record this month — not next year, this month — peaking through winter no matter what any auction clears. And in the clinic, Intellia's one-shot CRISPR became the first in-body gene edit to clear a Phase 3, a single infusion that rewrites a gene and holds. One wrecks things on a physical clock; the other fixes them on a regulatory one. Neither is waiting in an interconnection queue.


So the next two years don't look like a leaderboard. They look like a wall of due dates — PJM this month, China in November, the El Niño peak this winter, the orbital data centers nobody's really flown pushed out to 2027. The models keep getting cheaper and better the whole way through. That just stopped being the variable that decides anything.

AI

GPT-6 Astra ships Sept 3 at $10/$50, capping four frontier models in 72 hours

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AI

Benchmarks saturate as Astra posts 97.6% FrontierMath and 96% GPQA Diamond

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Climate

NOAA now expects the El Niño to become the strongest on record — during September

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Climate

2026 is 99.9% certain to land among the five warmest years, lifting 2027 record odds

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Biotech

Intellia's one-shot CRISPR becomes the first in vivo gene edit to clear a Phase 3

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Biotech

In-body editing broadens toward common risk as CTX310 and CTX320 post durable drops

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Geopolitics

China widens rare-earth licensing and floats a 0.1% extraterritorial rule, enforced from November

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Geopolitics

IEA warns concentrated mineral controls turn supply-chain risk from theory into reality

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Energy

PJM runs a first-ever backstop auction 6.8 GW short, seeking up to 15 GW of new generation

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Energy

Hyperscalers sign 9.8+ GW of nuclear across 13 deals — but the first new capacity is a 2027 restart

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Society

The electric bill becomes the political weapon: utilities seek $9.4B in Q1 rate hikes

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Society

Data-center backlash goes bipartisan and onto the ballot in the 2026 midterms

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Space

SpaceX files for up to 1 million orbital data-center satellites projecting 100 GW

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Space

Starcloud raises to a $1.1B valuation and flies NVIDIA Blackwell in October

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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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