Senior UX Researcher · human-centered research · UX Design

Design that earns trust,
and gets adopted.

I don’t just surface insights. I translate them into decisions that shape what gets built, how it’s communicated, and how it performs in the market.

  • 5+ years of helping teams solve problems creatively
  • 2+ years driving conversational AI design decisions
  • My work spans across healthcare, fintech, real estate, mobility tech, and more

Trusted At

Trusted by Flyhomes, Amazon, U.S. Bank, Prizeout, and more

Selected clients from prior work. Individual case-study identities remain anonymized where required.

Sector fluency

Same rigor, different rooms.

Pick a sector to see what I accomplished there.

Career timeline

A glance at my work.

Career timeline Earlier → later Showing all five career roles.

Helping Hands Community

UX Researcher · Contractor

Helping Hands Community (HHC) is a nonprofit product org (founders from companies like Uber/Google) that built technology so food banks could offer home delivery at scale. The platform connected partner organizations with local end users who carried out deliveries, and used Lyft and Uber APIs for rideshare logistics. My research sat at that intersection: what partners needed to integrate and run the program, and what end users needed in the app to complete deliveries and come back.

When
Role
UX Researcher · Contractor
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Flyhomes

UX Researcher · Real estate & mortgage

As the in-house researcher, I led work across acquisition, onboarding, home search, and AI trust, connecting user evidence to product, design, and brand decisions.

When
Role
Lead UX Researcher
Selected recommendation

What a Flyhomes product leader says

Zack is a UX super star. His customer-driven insights made an immediate impact on our entire product team. He pairs strong customer empathy with an ability to pinpoint the most important customer problems for the team to go solve.”

Meredith Han VP of Product
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Winston Francois

UX Researcher · MedTech, B2B SaaS, FinTech

At Winston Francois I owned end-to-end research operations for B2B SaaS, MedTech, and FinTech clients. I independently sourced, recruited, and managed 46 highly specialized participants across three verticals, then led Final Research Handoff presentations that turned raw qualitative data into personas, decision frameworks, and product recommendations for C-suite, Product, and Engineering partners.

When
Role
UX Researcher · Agency
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Applause

UX Researcher · Agency

As a UX researcher at Applause, I run agency research across AI, healthcare, finance, food and beverage, gaming, entertainment, and other sectors. Each team has its own culture, pace, and product maturity, so I adjust my approach to fit the room.

When
Role
UX Researcher · Agency
  • Methodology

    Spans both quantitative and qualitative, including diary studies, heuristic evaluations, user interviews, usability studies, and surveys, supported by tools like Qualtrics, Lookback, Condens, and Google Workspace, alongside whatever else the client already uses.

  • Responsibilities

    I partner on recruitment, run the end-to-end study, lead the analysis and synthesis, meet with participants, write the reports, and lead readouts with stakeholders.

Selected recommendation

What an Applause colleague says

Tree Hines

Zack is a highly insightful and tech-savvy UX leader known for his easygoing personality and collaborative nature. He helped me understand the Jobs To Be Done (JTBD) framework when I was tasked with applying this method in a study. He is particularly knowledgeable about AI tools and shared his expertise by delivering a presentation on AI use cases to our team as part of professional development initiatives. Zack is truly a delight to work with.”

Tree Hines UX and Consumer Insights Researcher

Selected work from this role

Longitudinal mixed methods

Improving Driver Safety

A leading global mobility and rideshare platform · Client anonymized · Aug–Dec 2024

Four months of continuous listening turned navigation friction into a focused safety and retention strategy for active drivers.

  • 40active drivers
  • weekly surveys
  • 4months of continuous listening
  • 471survey responses
Unmoderated competitive UX

Competitive UX for a promotional odds feature

Global sports-betting platform · Client anonymized · 2024 – 2026

An unmoderated competitive study across six global betting products surfaced the acquisition traps that kill promotional discovery before a high-stakes feature launch.

  • 14bettors
  • 6global products benchmarked
  • UK · BR · DE · MXmarkets
  • Screen-recordedonboarding sessions
Checkout flow investigation

Validating an alternative payment path for UK checkout

Global gaming platform · Client anonymized · UK market

A step-by-step Happy Flow investigation across web and mobile web to keep a regional payment method frictionless for a global gaming storefront.

  • UKtarget market
  • Web + Mobile websurfaces covered
  • Alt. paymentcheckout focus
  • Visualjourney breakdown delivered
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Orbello

Founder & Product/Research Lead

I founded Orbello (formerly MyOrbit), a social calendar for people whose lives do not fit standard productivity tools, especially neurodivergent users. I lead product strategy, UX research, experience design, and the AI-accelerated engineering system behind a multi-platform Flutter + Firebase product.

When
Role
Founder & Product/Research Lead
  • Research

    Edge-case interviews and surveys (~12 foundational ND scheduling interviews), social listening, and an 80/20 persona strategy that solves the hardest calendars first.

  • Product & systems

    Privacy-as-a-love-language controls, five emotional journey phases, accessibility-first settings, offline-first sync, encrypted notifications, and AI harnesses with 280+ guardrail tests.

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Selected work

I research the moments that decide whether a product earns trust or loses it.

Hero's Journey

Orbello: A Social Calendar for Lives That Don't Fit the Grid

Orbello (formerly MyOrbit) · Founder-led · 2025 – Present

Conventional calendars assume one household, stable routines, and high executive function. I founded Orbello for the people those tools leave behind, especially neurodivergent users, after interviews, surveys, and social listening showed the real job was not "schedule a meeting," but reduce the emotional and cognitive labor of coordinating time with the people you care about. I treated accessibility and granular privacy as primary design constraints, then built a multi-platform product with AI harnesses under human governance.

  • ~12foundational ND interviews
  • 6platforms, one Flutter codebase
  • 280+guardrail tests in a 6-tier pipeline
  • 7languages from day one
Learn-Iterate-Launch

Driving Engagement at Flyhomes

Flyhomes · Former employer · 2022

62% of qualified leads abandoned the platform before completing their first search or tour, and the home search feature, Flyhomes' key experience, was only engaged with by 11% of traffic. Usability testing exposed why: almost nobody realized they could search for homes on the site. A second phase tested the rebrand and a redesigned homepage centered on search to better match buyers' mental models.

  • +60%homepage engagement
  • +30%booked calls
  • +20%activation rates
Two-Phase Research

Disrupting Real Estate Search with AI

Flyhomes · Former employer · Nov 2022 – Jun 2023

Traditional search could filter price, beds, and baths, but not natural light, architectural style, or neighborhood ambiance. We turned unstructured listing language into searchable attributes and paired it with weighted buyer preferences to make every result more relevant and explainable.

  • +83%feature completion
  • +46%tour requests
  • +44%sign-ups
Mental-model mapping

Clinical AI Adoption

MedTech AI · Client anonymized · 2023 – 2024

Interviews with 15 international embryologists and lab managers exposed black-box distrust, HIPAA friction, and a product that graded embryos when clinicians wanted a conversational clinical partner. The findings redirected the roadmap and cut sales friction by about 60%.

  • 15embryologists and lab managers
  • EU + USclinical experts
  • 60-minsemi-structured IDIs
  • ~60%lower sales friction

FinTech Rewards, A Measurable Usability Jump

FinTech · Anonymized

A user opens the rewards screen, taps "redeem," and bounces. That single abandoned flow hid a usability problem worth millions. We benchmarked it, redesigned against the data, and proved the lift with the same numbers leadership trusted.

  • 58 → 81System Usability Scale
  • +53%task completion
  • −47%redemption drop-off
Read the full case study

The moment

We watched the bounce happen live, a real customer mid-redemption, giving up three taps from success. Starting there, instead of a clean benchmark intro, made the business cost viscerally clear to stakeholders within the first minute.

What we did

A baseline usability benchmark (SUS + task analytics), a heuristic teardown, and three rounds of moderated testing on redesigned flows. Every change was validated against the same metrics the baseline established.

What changed

SUS climbed from 58 to 81, task completion rose 53%, and redemption drop-off fell 47%. Because we measured before and after with the same yardstick, the redesign was unkillable in review, the numbers did the persuading.

Why Volunteers Deliver Once and Disappear

Helping Hands Community · Nonprofit contract · Jul–Dec 2021

During COVID, Helping Hands Community, a tech nonprofit founded by ex-Google and Lyft leaders, mobilized volunteers to home-deliver food boxes to at-risk neighbors. Deliveries were happening, but volunteers were quietly churning after a single shift. As contract UX researcher (and part-time designer), I stood up the org's first formal research practice, prioritized the work by business and user impact, and treated retention as a journey problem. Interviews, mobile-first usability tests, service blueprints, and synthesis produced six friction themes, POV statements, a future-state volunteer flow, and 18 concrete recommendations the team could ship against.

  • 6friction themes uncovered
  • 18recommendations delivered
  • 50%+volunteers arriving via mobile
  • 1stformal research practice at HHC
Three-act case study

Making a digital front door easier to enter

Regional health system · Client anonymized

The decision was not how to polish two pages. It was how to help people find the right service and understand what to do next.

Research evidence at a glance
Decision at stake
How should the digital journey guide people from a landing page to appointment scheduling?
My role
Zack was Lead UX Researcher.
Why this approach
Scenario-based walk-the-store sessions exposed how people navigated the journey in context; open card sorting supported analysis of expected information grouping.
Strongest evidence
Across the journey studied, buried symptom checkers, unclear layouts, and weak calls to action made it difficult to find the right service and decide what to do next.
What the evidence enabled
Recommendations to align information architecture with patient mental models, surface symptom support sooner, and use progressive disclosure.
Public evidence boundary
This public version does not claim a shipped redesign, improved patient outcomes, increased appointment conversion, or clinical validation.
  • 8screened participants
  • 60 minscenario-based sessions
  • 2page templates
  • Landing → schedulingjourney covered
Read the full case study
  • RoleLead UX Researcher
  • ContextA regional health system; client identity withheld.
  • ScopeTwo page templates and the journey from landing page to appointment scheduling.
  • MethodsEight screened participants completed 60-minute, scenario-based walk-the-store sessions. Open card sorting supported analysis.
01 / Act I: Setup
Start with the next decision, not the next screen.

The research question was practical: could people move from a broad landing page toward the service and action that matched their situation?

The constraint

Client identity, patient data, interface screens, and later product results are not public in this case study.

02 / Act II: Investigation
Follow the patient journey before judging the page.

Participants completed realistic scenarios across two page templates. The sessions focused on finding information, interpreting service options, and deciding what to do next, not on visual preference alone.

01
Walk the store

Scenario-based navigation showed where people searched, paused, and needed more guidance between landing and scheduling.

02
Check the grouping

Open card sorting supported analysis of how people expected information and services to be organized.

03
Separate signal from polish

The issue was not simply cosmetic. Findability, hierarchy, and action clarity shaped the path forward.

03 / Act III: Decision
The pivotal decision: make orientation precede commitment.

The synthesis reframed the work from page polish to journey guidance. Buried symptom checkers, unclear layouts, and weak calls to action made it difficult to identify the right service and choose a next step.

01
Align the information architecture

Organize information around patient mental models rather than assuming the existing structure is self-evident.

02
Surface symptom support sooner

Make symptom-oriented help easier to encounter earlier in the journey.

03
Use progressive disclosure

Reveal detail in stages so people can orient themselves before taking a more consequential action.

Reflection

In health-related journeys, “trust” is not a substitute for evidence. A senior researcher makes the decision visible, follows the user’s uncertainty through the task, and states exactly what the study can and cannot support.

Three-act case study

When invisible security feels like no proof

Smart-home security team · Client anonymized · Applause era

A camera-free security experience could sense motion, but Wi-Fi latency sometimes left people without reliable proof of what the signal meant. Two rounds of diary research turned that trust gap into a focused set of diagnostic, visualization, and feedback recommendations.

Research evidence at a glance
Decision at stake
How might a camera-free security experience make sensed activity understandable and credible?
My role
Co-lead UX Researcher.
Why this approach
A seven-day comparative diary study could capture trust during repeated use, while a single session could not.
Strongest evidence
Across two research rounds, eight participants encountered a “silent entry” moment in which Wi-Fi latency made the meaning of a sensed event unclear.
What the evidence enabled
Recommendations for pre-installation diagnostics, floor-plan visualization of motion data, and active audio feedback. Implementation and outcome are not claimed.
Public evidence boundary
The client, product names, competitors, technical screens, launch status, and downstream performance remain private.
  • 8participants
  • 7 dayscomparative diary study
  • 2research rounds
  • 3recommendation areas
Read the full case study
  • RoleCo-lead UX Researcher
  • MethodTwo-round comparative diary study over seven days, with daily surveys and final video testimonials.
  • ParticipantsEight participants.
  • StatusResearch decision support and recommendations only; implementation and downstream impact are not claimed.
01 / Setup
Security without a camera asks for a different kind of confidence.

The research examined setup, feature discovery, and the emotional effect of protection that people could not visually verify. The central uncertainty was not only whether the system could sense activity, but whether people could understand what that activity meant.

The question

Could an invisible form of coverage earn trust when users had no visual confirmation to consult?

02 / Research
Let the first week change the second.
01
Repeated use exposed the trust condition

Daily surveys captured moments when users had to interpret the system’s response in context rather than in a one-time usability session.

02
Round 1 shaped Round 2

Findings from the first round focused the second round on the moments where invisible coverage was hardest to verify.

03
The issue reached beyond interface wording

Engineering collaboration connected user doubt to data quality and Wi-Fi latency, not only to feature education or presentation.

Pivotal research decision
When the signal is late, the experience must help users understand what they can trust.

This shifted the design question from feature discovery alone to visible evidence, diagnostic confidence, and clearer system feedback.

03 / Action
Turn the trust gap into testable recommendations.
Recommendations
  • Before installation: add diagnostics to identify poor or unreliable ISP data.
  • During interpretation: visualize motion data on a floor plan so users can inspect what was sensed.
  • At the moment of response: add active audio feedback to make system activity clearer.
Decision support provided
  • Defined a specific “silent entry” failure loop instead of treating trust as a vague perception problem.
  • Gave product and engineering a shared direction for investigating data quality and user-facing proof.
  • Implementation, launch, security improvement, and trust improvement are not claimed.
04 / Reflection and boundary
The research lesson was to make uncertainty inspectable.

For invisible systems, trust is not created by reassurance alone. It depends on whether people can interpret a system response, understand its limits, and distinguish missing evidence from evidence of safety. The research made that distinction actionable without claiming that the recommendations were shipped.

This public case covers
  • Two rounds of comparative diary research with eight participants over seven days.
  • Daily surveys, final video testimonials, and the way Round 1 shaped Round 2.
  • A Wi-Fi-latency-driven “silent entry” trust failure and engineering collaboration around data quality.
  • Recommendations for diagnostics, floor-plan visualization, and active audio feedback.
This public case does not claim
  • No client identity, product name, competitor name, technical screen, or launch status.
  • No invented participant quote or direct user quotation.
  • No shipped feature, improved security, improved trust, adoption, commercial result, or downstream performance.
In medias res

Rebuilding a self-service menu around customer language

Major U.S. bank · Client anonymized · Applause era

The existing voice menu made common tasks hard to find. Tree testing and card sorting moved the conversation from internal menu logic to the language customers used for self-service.

  • 17tree-test participants
  • 30card-sort participants
  • 26tasks categorized
  • 2recommended menu clusters
Read the full case study
  • RoleLead UX Researcher
  • GoalImprove task findability and language for a 24-hour self-service voice system.
  • MethodRemote tree testing plus open card sorting across 26 banking tasks.
  • ConstraintClient, internal menu artifacts, and the baseline failure percentage remain withheld pending public-use clearance.
01 / Hook
A self-service menu is only useful when people can find themselves in it.

The team was introducing new do-it-yourself options, but the existing structure did not match how customers grouped everyday banking tasks.

The turning point

Findability evidence showed that the problem was structural. Better labels inside the same menu would not be enough.

02 / Research
Test the tree, then ask customers to build a better one.
01
Tree testing

Remote sessions exposed where people expected to find common self-service options and where the current hierarchy failed them.

02
Open card sorting

Thirty participants grouped 26 tasks in their own language, making natural customer clusters visible.

03
Decision synthesis

The team received a clear rationale for changing the top-level structure rather than tuning individual prompts.

Research decision
Organize around what customers came to do, not how the organization described its services.

The evidence supported a simpler structure centered on self-service and money movement.

03 / Action
Turn findability evidence into a menu decision.
Recommendation
  • Restructure the menu around Self-Service and Money Movement clusters.
  • Use customer language as the basis for naming and grouping options.
Research value
  • Connected a known findability problem to a defensible structural change.
  • Provided both diagnostic and generative evidence for the same decision.
04 / Evidence boundary
What this case does and does not claim.
This case covers
  • Tree testing and card sorting for a self-service voice information architecture.
  • Evidence that informed a new top-level grouping model.
This case does not claim
  • No post-launch completion, handle-time, or company voice-AI outcome.
  • No internal IVR map, client name, or withheld baseline percentage.
Three-act case study

A dashboard cannot earn trust on fragmented data

People analytics platform · Client anonymized · 2023 – 2024

Leaders wanted more proactive people analytics, but interviews showed they were still managing fragmented data and reactive workflows. A five-tier framework made the product tradeoffs visible.

  • 13HR, DEI, and talent leaders
  • 45 minsemi-structured interviews
  • 5framework tiers
  • 1roadmap decision model
Read the full case study
  • RoleUX Researcher
  • GoalAlign a people analytics roadmap with executive priorities and data realities.
  • MethodThirteen 45-minute interviews with HR, DEI, and talent leaders.
  • ConstraintClient, third-party systems, release details, and commercial results remain private.
01 / Setup
The opportunity was not another dashboard. It was a path from reactive data to useful action.

The team needed to understand how leaders used people analytics across a complex software ecosystem and where a product roadmap could create real value.

The turning point

Participants described a recurring constraint: fragmented historical data and integration gaps made advanced insights hard to trust.

02 / Research
Create a decision hierarchy before designing advanced features.
01
Leadership interviews

Conversations with HR, DEI, and talent leaders surfaced the difference between what teams wanted and what their data could support.

02
Five-tier framework

The Hierarchy of Needs moved from keeping the lights on through safety, efficiency, team health, and belonging.

03
Data integrity first

Research made the case for standardizing data before asking leaders to act on predictive signals.

Research decision
Proactive intelligence only matters when the underlying data deserves executive trust.

The roadmap moved from feature excitement to a staged sequence of integrity, visibility, and prediction.

03 / Action
Give leaders a path from signal to decision.
Recommendations
  • Standardize data integrity before leadership rollout.
  • Prioritize proactive alerts for retention deviations.
  • Use customizable headings and a unified dashboard to make insight easier to act on.
Research value
  • Created a shared framework for C-suite, product, and engineering tradeoffs.
  • Connected data quality to the credibility of predictive AI features.
04 / Evidence boundary
What this case does and does not claim.
This case covers
  • Strategic research, framework development, and recommendations for people analytics.
  • Data-integrity and predictive-alert tradeoffs from executive interviews.
This case does not claim
  • No released feature, adoption, retention, or revenue result.
  • No client, third-party platform, or proprietary data detail.
Recommendations

What collaborators say about my work.

Leaders across growth, product, strategy, and AI on turning customer insight into decisions that move teams forward.

Tree Hines

Zack is a highly insightful and tech-savvy UX leader known for his easygoing personality and collaborative nature. He helped me understand the Jobs To Be Done (JTBD) framework when I was tasked with applying this method in a study. He is particularly knowledgeable about AI tools and shared his expertise by delivering a presentation on AI use cases to our team as part of professional development initiatives. Zack is truly a delight to work with.”

Tree Hines UX and Consumer Insights Researcher

He’s the embodiment of turning insights into action and an absolute pleasure to work with. He’s helped unlock insights that’ve turned into company-wide messaging frameworks, personas, communication strategies, and more.”

Matthew Helfrich Sr. Director, Growth Marketing

“Zack is a UX super star. His customer-driven insights made an immediate impact on our entire product team. He pairs strong customer empathy with an ability to pinpoint the most important customer problems for the team to go solve.”

Meredith Han VP of Product

“Zack isn’t afraid to challenge the status quo. He’s adept at building trust within an organization, digging into the problems the team is facing & surfacing real world, tangible evidence that alter the direction of a product – for the better!”

Andria Jannetti Product Manager

Zack is a creative, thoughtful, empathetic, and engaging leader. Any company would be fortunate to have him on their team, and I offer my highest recommendation!”

Maggy Wardell Strategy & Operations Leader

“Zack isn’t just good, he is shockingly good. Each time he produced results something about it went above and beyond what I expected, what was shocking was how consistently he did that. He constantly demonstrated a level of experience and expertise that I have only found in the most seasoned veterans.

Christopher Fryer VP of Product & Brand

“I was always impressed by his great empathy for users, high quality user reports and dedication for the company mission. He is always passionate, curious and willing to contribute more! Zack is truly the best researcher I’ve ever worked with.

Elaine He AI Product Manager
Method spotlight

The practice behind the studies.

Case studies are the visible output. These are the operating methods that make research findable, shareable, and scalable across a whole organization.

Resource 01 · Inclusive design

Design for more ways of thinking.

An accessible field guide for reducing cognitive load, supporting different sensory needs, and giving people more control over how they experience a product.

Read the 8 principles
Field guide 8 principles

Neurodiversity-Friendly Design Principles

Simple, practical design rules that make digital experiences calmer, clearer, and easier for more people to use.

  1. Reduce cognitive load

    Keep it clean and simple

    • Use short, familiar words.
    • Keep each screen focused on one clear purpose.
    • Make the primary action obvious and specific.
    • Remove anything that does not help someone move forward.
  2. Build predictable patterns

    Stay consistent and organized

    • Put similar information in similar places.
    • Use size and weight to show what matters most.
    • Create clear patterns, then apply them consistently.
    • Give every element a logical, expected place.
  3. Support comfortable reading

    Optimize readability and typography

    • Choose highly readable sans-serif typefaces.
    • Avoid all caps and long passages of italic text.
    • Use comfortable type sizes, line heights, and spacing.
    • Maintain strong contrast and a clear text hierarchy.
  4. Lower sensory noise

    Design with sensory sensitivity in mind

    • Use a calm, considered color palette.
    • Avoid flashing, sudden motion, and neon backgrounds.
    • Keep sound off by default and provide clear controls.
    • Reduce competing visual and audio signals.
  5. Remove ambiguity

    Communicate clearly and directly

    • Prefer literal language over metaphors or sarcasm.
    • Give each message one clear meaning.
    • Label controls with specific actions, such as “Send message.”
    • Avoid jokes or wordplay where clarity is essential.
  6. Help people keep their bearings

    Simplify and clarify navigation

    • Keep navigation compact, visible, and predictable.
    • Label every page and destination clearly.
    • Show progress during multi-step tasks.
    • Make the current location and route back easy to find.
  7. Give people control

    Offer personalization and flexibility

    • Let people adjust text size and color schemes.
    • Offer calm and vivid display options where useful.
    • Allow optional content, motion, or sound to be hidden or paused.
    • Remember and respect each person’s preferences.
  8. Design with, not just for

    Emphasize empathy and inclusive practices

    • Learn how neurodivergent people experience your product.
    • Include neurodivergent participants in research and testing.
    • Involve diverse people throughout the design process.
    • Treat inclusion as a product requirement, not a final check.
Better by default

Designing for neurodiversity does not only remove barriers. It creates calmer, more understandable products that work better for everyone.

Resource 02 · Portfolio craft

Build a case study that earns the interview.

A practical field guide for turning thoughtful UX work into a concise, evidence-led story hiring teams can understand quickly.

Opens your browser’s print dialog.
Read the six chapters

Why case studies matter

Strong work still needs a strong argument.

  • Case studies are crucial for landing interviews in a competitive market.
  • Weak studies can actively hurt your chances.
  • Memorable storytelling connects design decisions to business goals.
  • A portfolio with focused, credible studies builds confidence in your craft.

What compelling studies do

Answer the questions behind the hiring decision.

  • Frame it. Name the problem, user impact, and business relevance.
  • Prove it. Emphasize measurable outcomes, not output volume.
  • Connect it. Link the problem, your decisions, and the outcome.
  • Edit it. Aim for a focused read of less than five minutes.
The Minto Pyramid Principle

Lead with the answer. Then earn it.

Structure the story from the most important result down to the evidence. Open each layer to see what belongs there.

01 Start with the answer Present the single most impressive result first.
  • Include the timeframe and business impact.
  • Quantify the result with a key metric.
  • Connect the result directly to your contribution.
02 Support with key arguments Offer two or three insights that explain the result.
  • Show clear cause-and-effect relationships.
  • Include specific observations and supporting metrics.
  • Turn findings into actionable insights.
03 Provide additional clarity Use evidence to validate the argument and result.
  • Include the numbers and data that matter.
  • Explain testing methods and results, including A/B test specifics.
  • Make your methodical approach easy to follow.

Show your thinking. Validate your claims.

  • Explain the why behind decisions, not only the what.
  • Highlight the tradeoffs and challenges you navigated.
  • Back claims with research, analytics, and credible testing results.
  • Include implementation details and metrics when they add context.
  • Treat UX writing quality as part of the experience.

Avoid the familiar traps.

  • Don’t bury the point in an overly long process diary.
  • Don’t force every project into the same generic structure.
  • Focus on business impact, not a catalog of tools and workshops.
  • Write for hiring managers and answer their key questions.
  • Proofread carefully; the details signal how you work.
The wider portfolio

Choose proof that matches where you’re going.

  • Show functional UX work. Prioritize apps, platforms, and meaningful product flows over static pages.
  • Early career? Demonstrate industry-style experience and sound decision-making.
  • More senior? Consider a concise deck centered on the problem, influence, and impact.
  • At every level: quantify business benefits when you can and maintain a professional online presence.

The strongest case study is not the one with the most artifacts. It’s the one that makes your judgment, and its impact, easy to understand.

Mentorship

Research gets stronger when researchers do.

I mentor UX researchers through difficult study decisions, stakeholder dynamics, and career moves, the messy middle between knowing the craft and making it matter.

  • Sharpen the work

    Frame the decision, challenge the method, and find the clearest story in the evidence.

  • Build influence

    Connect findings to what stakeholders need to understand and decide next.

  • Navigate what's next

    Make career and portfolio choices with a practical, experienced sounding board.

Looking for a researcher who helps the whole practice grow?

Let's talk
What mentees say Reviews from ADPList
About

I'm Zack, a researcher who optimizes for adoption.

I've spent the last decade researching AI products, financial tools, clinical workflows, and hospitality experiences across North America, Europe, and Asia. The thread connecting them: I don't consider a study finished until the insight has changed what a team ships.

That means building the operations around research, repositories, stakeholder rituals, and now AI-augmented synthesis, so findings survive long after the report. I work in English with global teams and lead research in plain language any stakeholder can act on.

  • Focus: AI / human-in-the-loop, international, FinTech & MedTech
  • Methods: Ethnography, contextual inquiry, usability benchmarking, co-design
  • Operations: Research repositories, ResOps, mentorship, AI synthesis pipelines
Contact

Let's talk about the question you're sitting on.

Email: zackdrivesuxinsights@gmail.com

Several case studies are anonymized per NDA. Confidential details remain outside this public repository and deployment.

Beyond the desk

The Human Behind the Professional

When I'm not diving into UX research, you'll find me loving the outdoors, whether I'm rock climbing for fun or recharging in nature's calm. I'm a proud dog daddy, I'm often fueled by too much espresso, and I absolutely love a good breakfast burrito. I also perform in a local improv troupe, indulging my creative side as a cinephile with a passion for storytelling on and off the stage.