UX Researcher
Resume Template

A free UX Researcher resume, pre-filled and ready to edit. Replace the highlighted placeholders (research methods, study counts, participant numbers, synthesis tools, plus the product decisions and metric movements your insights drove) using the side panel on the left, and the resume rewrites itself as you type. Save as PDF when you are done.

Emmanuel Gendre - Former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

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Interactive resume template generator

Interactive UX Researcher Resume Template

Edit the side panel. The resume rewrites itself live. Save as PDF when you are done.

Edits update live as you type. Toggle Edit to rewrite paper text directly.

Edit mode is on. Click anywhere on the resume to rewrite text. Side-panel placeholders still update live.

Mei-Ling Wong Senior UX Researcher

Singapore meiling.research@gmail.com +65 6555 0193

Profile Summary

  • Senior UX Researcher with 8 years of experience shaping consumer mobile super-apps at marketplace scale across ride-hailing, food delivery, and digital payments, specializing in mixed-methods research, ReOps at scale, and strategic foundational studies.
  • Hands-on coverage across qualitative (UserTesting with Lookback), quantitative (Qualtrics with Maze), synthesis (Dovetail as research repository), ReOps (User Interviews panel with Calendly scheduling), and behavioral analytics (Amplitude with SQL), credentialed through NN/g UX Researcher Certification.
  • Deep craft in generative and evaluative study design, contextual inquiry and ethnographic fieldwork, survey design and behavioral data analysis, and insight synthesis with journey maps and personas, applying methods such as weekly readouts with Product and Design partners and quarterly research roadmap reviewed with the Head of Research to deliver evidence-led product decisions that move task success and retention.
  • Engaged collaborator working cross-functionally with Product, Design, Engineering, Data Science, and Marketing teams inside dual-track agile product squads with embedded research, contributing to weekly discovery, roadmap shaping, and stakeholder workshops with an ownership-first mindset and crisp readouts in Notion and FigJam.
  • Mentor who shares technical excellence and fosters a culture of rigorous, mixed-methods insights and repeatable research operations and shared evidence through readout coaching and insight memos, while running the research guild and democratization program for PMs and Designers and authoring widely used research playbooks and screener libraries.

Technical Skills

Qualitative Methods:
UserTesting with Lookback, Zoom and Loom recording, moderated and unmoderated interviews, contextual inquiry, diary studies, ethnographic fieldwork, focus groups, think-aloud protocols, co-design workshops
Quantitative & Survey:
Qualtrics with Maze, SurveyMonkey, Typeform, survey design, sampling strategy, MaxDiff, conjoint analysis, NPS, SUS, SEQ, regression, significance testing, confidence intervals
Usability & Evaluation:
moderated and unmoderated usability tests, first-click testing, five-second tests, preference tests, heuristic evaluation, cognitive walkthroughs, benchmark studies, A/B test readouts
Synthesis & Repository:
Dovetail as research repository, affinity diagrams, thematic analysis, atlas.ti, NVivo, tagging and coding, evidence-linking, research democratization, ResearchOps documentation
Research Operations (ReOps):
User Interviews panel with Calendly scheduling, Ethnio screeners, Respondent and Rally, Tremendous incentives, consent management, IRB and GDPR compliance, panel governance, vendor management
Behavioral & Analytics:
Amplitude with SQL, Mixpanel, Heap, Hotjar, FullStory, funnel analysis, cohort analysis, retention curves, Looker dashboards, Hex notebooks, BigQuery, basic Python for analysis
Frameworks & Artifacts:
personas, journey maps, mental models, service blueprints, opportunity solution trees, jobs-to-be-done, research plans, discussion guides, screeners, readout decks
Collaboration & Storytelling:
stakeholder workshops, executive readouts, video highlight reels, FigJam mural boards, Notion documentation, Linear and Jira tickets, dual-track agile, research democratization
Credentials & Education:
NN/g UX Researcher Certification, HFI Certified Usability Analyst, Interaction Design Foundation certifications, jobs-to-be-done framework, Sense-and-Respond, Lean UX, Continuous Discovery

Education

National University of Singapore M.S. in Human-Computer Interaction
Singapore Aug 2014 - Jun 2016

Work Experience

Grab Senior UX Researcher
Singapore Mar 2021 - Present
  • Led research strategy on the consumer super-app and GrabPay wallet serving 38M monthly active users, embedded across 6 product squads, and authored 34 research plans a year tied to quarterly OKRs and the discovery roadmap shared with the Head of Research.
  • Owned qualitative research, running moderated interviews, contextual ride-alongs with drivers, and 4-week diary studies on first-time payment users, synthesizing 92 interviews in Dovetail across Singapore, Indonesia, Vietnam, and the Philippines and feeding region-specific insight to the consumer roadmap.
  • Drove quantitative research with large-sample Qualtrics surveys, MaxDiff prioritization, and unmoderated Maze tests on hot flows, fielding studies at 4,200 respondents per wave to a 95% confidence level, and pairing every readout with significance and effect-size notes for the PMs.
  • Ran usability testing and evaluation through moderated UserTesting sessions on net-new flows, unmoderated benchmarks on the checkout funnel, and quarterly heuristic evaluations, shipping 28 studies per quarter and lifting task success rate by 26% on the redesigned wallet top-up flow.
  • Synthesized findings across qual and quant via thematic analysis in Dovetail, opportunity solution trees in FigJam, and tagged evidence linked to product OKRs, surfacing 48 cross-study themes a year, logging 1,400 tagged evidence pieces in the repository, and turning the synthesis into 14 roadmap decisions the leadership team committed to.
  • Owned personas, journey maps, and frameworks, where I rebuilt the rider, driver, and merchant persona set and shipped end-to-end journey maps from acquisition to repeat purchase, authored 9 research-backed personas, shipped 6 cross-market journey maps, and layered 3 service blueprints that Design, Product, and Marketing now reference on every kickoff.
  • Scaled research operations, where I stood up a regional participant panel with Ethnio screeners, Tremendous incentives, and consent management aligned to PDPA and GDPR, grew the panel to 6,800 vetted participants under PDPA and GDPR, cut recruitment cycle time to 3 days, and lifted study velocity by 2.6x across the org.
Lazada UX Researcher
Singapore Jul 2018 - Feb 2021
  • Partnered with stakeholders, where I embedded with PMs and Designers from kickoff through launch, with monthly readouts to the seller-experience VP, covered 4 product squads on the seller side, facilitated 40+ cross-functional workshops, and influenced 22 product decisions tracked back to research evidence.
  • Owned research communication and storytelling, where I ran monthly research readouts, edited verbatim highlight reels, and authored insight memos in Notion for every shipped study, delivered 60+ readouts over the role and published 18 insight memos that the seller-experience team referenced on roadmap planning.
  • Connected research to strategy, where I led the cross-market seller foundational study and co-authored the seller-experience strategy with the Head of Product, covering 6 South-East Asian markets, lifting seller activation by 17% on the redesigned onboarding, and feeding the next-year strategy with evidence-backed bets.
  • Ran mixed-methods research end to end, where I owned mixed-methods research end to end: planning, screeners, moderation, surveys in Qualtrics, behavioral cuts in Mixpanel, and final readouts, shipping 46 studies under a single research owner partnered with a senior researcher mentor and a consistent qual-plus-quant playbook across the surface.

Done editing? Download as a real, vector PDF. Selectable text, ATS-friendly, US Letter format.

About this template

A UX Researcher
Resume Template, by a Tech Resume Coach.

Quick intro: 12 years of recruiting experience, including many years at Google, and I now run a tech resume coach service for researchers who live inside Dovetail, UserTesting, and Qualtrics. UX Researcher rewrites come in steady from research-mature shops like Google, Meta, Microsoft, Apple, Atlassian, Slack, Notion, Figma, Spotify, Airbnb, IDEO, and Smart Design, plus the consumer scaleups where research drives the roadmap. So when I tell you what works on a researcher-shaped CV, it is from screening these resumes on the recruiter side, not from a research community blog.

UX Researcher is the dedicated research specialist, the role you hire when the work spans qualitative interviews, quantitative surveys, usability evaluation, ReOps at scale, insight synthesis, and getting Product and Design to act on the evidence. Recruiters at research-mature shops filter for "UX Researcher", "User Researcher", "Senior UX Researcher", or "Mixed-Methods Researcher" specifically. A resume that reads like a UX/UI Designer (Figma craft and visual interaction), a Product Designer (strategic design plus execution), or a Data Analyst (dashboards and SQL only) quietly loses the screen. Most candidates here opt for the full custom rewrite. We sit with the studies you actually ran, the methods you mixed, the participants you recruited and managed, the personas and journey maps you authored, the stakeholders you influenced, and the product decisions or metric movements your insights drove. If that is more than you need today and a clean researcher-shaped skeleton is the missing piece, this template covers it. ATS-clean, free, no signup. Give it a try.

How it works

How to use this template
to write a UX Researcher resume

The structure was written by a former Google recruiter. The placeholders push you to be specific exactly where it matters: the methods you mixed, the participants you recruited, the synthesis frameworks you used, and the product decisions or metric movements your insights drove.

Strong researcher bullets do not arrive in one draft. They build in five layers. Layer one names the action. Layers two and three add the methods you used (interviews, surveys, diary studies, usability tests) and the tools or sources (Dovetail, UserTesting, Qualtrics, Amplitude). Layer four calls out the craft (the sampling strategy, the synthesis framework, the ReOps approach, the readout shape). Layer five quantifies what shifted: task success rate, participant counts, study velocity, roadmap decisions influenced, activation, retention. Bullets that complete layer five are the ones a hiring manager actually circles. The framework lives in How to Write Bullet Points for Tech Resumes.

  1. 01 Task What you did
  2. 02 Methods Interviews, surveys, tests
  3. 03 Tools Dovetail, Qualtrics, Maze
  4. 04 Craft Sampling, synthesis, readout
  5. 05 Metric Quantified impact

This template wires the five layers straight into your bullets so you do not carry the framework in your head. The side panel lines up clean: the method picks feed layer 2, the tool fields feed layer 3, the craft and synthesis fields feed layer 4, the count and rate inputs land at layer 5. The sentence skeletons carry layer 1. Why this matters: you only have to drop in real methods, real participant counts, and real outcomes. The structure does the rest, and the resume reads at layer 5.

  1. Pick your research stack

    Tap a chip to swap UserTesting for Lookback or User Interviews, Qualtrics for SurveyMonkey or Typeform, Maze for UsabilityHub or PlaybookUX, Dovetail for Notion or Airtable, Amplitude for Mixpanel or Heap. Every mention updates at once.

  2. Drop in your numbers

    Research plans authored, interviews synthesized, survey sample size, confidence level, tests per quarter, task success lift, themes identified, roadmap decisions influenced, personas authored, journey maps shipped, panel size, recruitment cycle time, study velocity lift, readouts delivered, insight memos, activation lift. No real numbers yet? The defaults pass for a senior researcher resume.

  3. Save as PDF

    Click Download. The page generates a real vector PDF with selectable text and clean US Letter formatting. ATS-parsable.

Filled the template? Get a recruiter's eyes on it.

The template gives you a recruiter-vetted skeleton. The next step is making sure your specific studies, participant counts, methods, synthesis artifacts, and the product decisions your insights drove hold up under a 6-second screen.

Free, personally reviewed within 12 hours by a former Google recruiter.

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Frequently asked

Your Questions about the UX Researcher Resume Template, Answered

Yes, the whole template is free. No signup, no email gate, no premium tier waiting at the end. Open the page, swap in your real research methods, study counts, participant numbers, synthesis tools, and the decisions or metric movements your insights drove, hit Download, and you have your PDF.

Yes. The exported PDF is single-column with the section headers ATS systems expect (Profile Summary, Technical Skills, Education, Work Experience). No tables, no icons, no two-column tricks. Workday, Greenhouse, and Lever parse it cleanly. Want a sanity check on the export? Run it through our ATS Checker.

Yes. Hit the Edit toggle above the preview, then click into any sentence on the paper and type over it. Side-panel placeholders keep flowing into the resume as you type, and the rest is plain editable copy you can shape to the studies you actually ran in Dovetail, UserTesting, Maze, Qualtrics, or wherever your data lives.

Click Download. The browser builds the PDF on the spot, with no print dialog, no signup, and no server round-trip. The output is real vector text on US Letter, parsed by ATS systems the same way they parse any clean resume export.

Swap the defaults. The template leans Dovetail for synthesis and repository, UserTesting and Lookback for moderated and unmoderated qualitative work, Maze and Optimal Workshop for unmoderated quant and IA validation, Qualtrics for survey work, and SQL plus Amplitude for behavioral analysis. Every reference is a placeholder. Use the chips to swap Dovetail for Notion or Airtable, UserTesting for Lookback or User Interviews, Maze for UsabilityHub or PlaybookUX, Qualtrics for SurveyMonkey or Typeform, Amplitude for Mixpanel or Heap. If your role leans heavily on quant, lean on the survey bullet, the analytics bullet, and the strategic research bullet in the second job. If it leans heavily on qual, lean on the interview and journey-map bullets.

The UX Researcher template is the dedicated research specialist resume. It names research methods, tools, and artifacts directly: moderated and unmoderated interviews, contextual inquiry, diary studies, ethnography, surveys in Qualtrics, card sorting and tree testing in Optimal Workshop, behavioral analytics in Amplitude or Mixpanel, SQL for cohort work, synthesis in Dovetail, repositories, ReOps panels and incentives, personas, journey maps, mental models, service blueprints, A/B test readouts, and strategic and foundational research that shapes the roadmap. The UX/UI Designer template covers the craft side (Figma, prototyping, design systems, visual interaction, WCAG audits) and the Product Designer template covers strategic design plus execution. The Data Analyst template is quant-only and leans on dashboards, SQL, and dbt. Pick the UX Researcher template if your job title says UX Researcher, User Researcher, Senior or Lead Researcher, or Mixed-Methods Researcher, and your day is split between running studies, synthesizing findings, and getting Product, Design, and Engineering to act on them.

No. Research hiring screens on the studies you actually ran and synthesized, the methods you mixed, the participants you recruited and managed, the repositories and panels you built or scaled, the personas and journey maps you authored, the stakeholders you influenced, the strategic questions you answered for the roadmap, and the product decisions or metric movements your insights drove. Layout origin is not on the rubric. What does cost interviews is a resume padded with generic research talk that never names a method, a study, a participant count, or a decision. This one is shaped to prevent that. The skeleton came from a former Google recruiter; the substance is yours.

Why trust this template

Emmanuel Gendre, former Google recruiter and tech resume writer

Emmanuel Gendre

Former Google recruiter · Tech resume writer

I built this UX Researcher template from the patterns I saw work, not from generic advice. Below is the data behind every bullet, skills line, and metric placeholder.

  • Experience Hundreds of UX Researcher resumes screened across Google, Meta, Microsoft, Apple, Atlassian, Slack, Notion, Figma, IDEO, Smart Design, and the consumer scaleups where research drives the roadmap, during my Google recruiter years and at TechieCV. The Profile Summary and Skills sections mirror what survived the 6-second screen on a research hiring manager's desk.
  • Expertise Bullets modeled on senior offers. The Grab section is structured the way Senior and Lead UX Researchers write their experience when they land tier-1 product or research-mature interviews: research strategy and planning, qualitative depth, quantitative rigor, usability evaluation, synthesis and insight generation, personas and journey-map authorship, and ReOps that scales the practice.
  • Trust Stack reflects the 2026 hiring bar. UserTesting with Lookback for moderated work + Qualtrics and Maze for unmoderated and survey work + Dovetail as the research repository + User Interviews panel with Calendly scheduling + Amplitude and SQL for behavioral analytics + NN/g UX Researcher Certification is what research hiring managers expect today; suggestion chips cover realistic alternatives (User Interviews, Ethnio, dscout, SurveyMonkey, Typeform, UsabilityHub, PlaybookUX, Notion, Airtable, Mixpanel, Heap, HFI CUA, IDF, Google UX) so you can match your real stack without losing keyword fit.
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