UX Researcher
Resume Metrics

The Numbers Recruiters Look For

The UX Researcher resume metrics that earn a read: which numbers to use, what good looks like, and where to find each one. Built from 12 years of recruiting, including many years at Google.

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

Last updated: June 4th, 2026 · ~10 min read

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Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

From the author

Emmanuel Gendre, ex-Google recruiter

A recruiter's opinion on UX researcher resume metrics

Most resume guides land on one rule: attach a figure to what you achieved. For a UX researcher it ought to be the simple bit, the role runs on evidence, yet most researcher resumes just rattle off the tools.

So which numbers actually rate a line on a UX researcher resume? And how might you locate each? Will any genuinely move a hiring decision?

Through years of recruiting, a good chunk at Google, the researchers who got hired made the work lead somewhere: not “ran user interviews” but “ran the study that killed a doomed feature.” The second version lands the callback, because anyone can run a survey, few can prove it changed a decision.

Sorting which figures count, then weighting each so a recruiter feels it, is a good chunk of what my resume writing service does. Here I run down each metric that belongs on a UX researcher resume: when to use it, where to dig it out, then how to spell it out in one bullet.

After a quick second read first? Forward it and I'll scan it, free.

Start here

Why metrics matter on a UX Researcher resume

I cover the whole screening run in my guide to how recruiters screen resumes, and it works in stages. A recruiter does the first read, barely a moment on your profile summary, then the recent roles, before a senior researcher or the hiring manager goes deep on the detail to settle whether you can really turn evidence into decisions.

So two reviewers go over your numbers: the recruiter first, then a researcher who can place at once what a 22-point task-success jump or a study that reset the roadmap really demanded.

A recruiter hardly looks at the figure; they go for the keywords. The research lead above you reads “lifted task success 22 points” and instantly grasps what went in. What a real number buys you is plain: it proves you turn evidence into decisions, not just run the odd interview.

Not all of them count the same. And if yours feel small, no worries: for a UX researcher, a single impact or adoption result already raises you above the survey-and-hope crowd.

Roughly, here is what drives each one:

The logic

Which types of metrics to use
for a UX Researcher resume

Log some hours in the Job Search Toolkit and you will have seen I start each resume from a role profile. Quick reminder: a role profile is the cluster of abilities a job hires against.

Recruiters measure you against it. The UX researcher resume guide maps out each part.

Every area of the UX researcher profile wants its own line, kept to your current role, next to the proof.

Those are the metric types. A UX researcher splits into six, one per corner of the craft. The set:

The full list

The full list of UX Researcher resume metrics

Six families; in every one, the five a hiring manager rates highest, ranked. Each one names what it tracks, the average, good, and great band, where to read it, with a bullet to reuse. Almost all of it is in tools that stay open all day: your research repo, your testing tool, your notes, and product analytics. The UX Researcher resume skills page lists the rest.

1

Research Impact & Decisions

A UX Researcher turns evidence into decisions. These numbers capture the impact you delivered.

Decisions influenced

Product and design calls your research shaped.

Benchmark

Averagea few
Goodmany
Greatthe roadmap

Measure with

Dovetail Notion

Example bullet

Shaped 30+ product decisions with research over a year.

Features killed or saved

Builds your research redirected.

Benchmark

Averagesome
Goodseveral
Greatmajor

Measure with

Dovetail Amplitude

Example bullet

Killed a six-month build by testing the concept first.

Roadmap influence

Share of the roadmap research informed.

Benchmark

Averagesome
Goodsolid
Greatmost

Measure with

Notion Dovetail

Example bullet

Informed half the quarterly roadmap with discovery work.

Insights acted on

Findings that shipped as changes.

Benchmark

Averagesome
Goodmany
Greatmost

Measure with

Dovetail Notion

Example bullet

Turned research into 20 shipped product changes.

Build cost saved

Wasted engineering you prevented.

Benchmark

Averagesome
Goodsolid
Greatbig

Measure with

Dovetail Amplitude

Example bullet

Saved an estimated $400K by validating before build.

2

Studies & Output

A UX Researcher runs the studies. These show the research output you produced.

Studies run

Research rounds you led.

Benchmark

Averagea few
Goodmany
Greata program

Measure with

Maze UserTesting

Example bullet

Ran 40 studies across three product lines.

Participants

Users you researched with.

Benchmark

Averagedozens
Goodhundreds
Greata panel

Measure with

UserTesting Maze

Example bullet

Spoke with 250 users to shape the redesign.

Reports delivered

Research outputs you shared.

Benchmark

Averagesome
Goodmany
Greata library

Measure with

Notion Dovetail

Example bullet

Delivered 35 research reports the team still references.

Research cadence

How regularly you ran studies.

Benchmark

Averagead hoc
Goodregular
Greatcontinuous

Measure with

Maze Miro

Example bullet

Set up a continuous research cadence the team still runs.

Methods used

Research methods in your toolkit.

Benchmark

Averagea few
Goodmany
Greatthe full mix

Measure with

Maze Hotjar

Example bullet

Ran interviews, surveys, usability tests, and diary studies.

3

Methods & Rigor

A UX Researcher holds the bar on rigor. These show the methods you ran.

Qual + quant mix

Breadth of evidence you brought.

Benchmark

Averagemostly qual
Goodbalanced
Greattriangulated

Measure with

Maze Amplitude

Example bullet

Triangulated interviews with analytics on every major call.

Sample size

Rigor of your studies.

Benchmark

Averagesmall
Goodsolid
Greatlarge

Measure with

UserTesting Maze

Example bullet

Ran a 1,200-respondent survey with segment breakdowns.

A/B tests informed

Experiments your research shaped.

Benchmark

Averagesome
Goodmany
Greata program

Measure with

Amplitude Maze

Example bullet

Designed and read 15 A/B tests with the product team.

Statistical confidence

Rigor you held to.

Benchmark

Averagedirectional
Goodsolid
Greatsignificant

Measure with

Amplitude Hotjar

Example bullet

Reported findings at 95% confidence on key metrics.

Concept validation

Designs tested before build.

Benchmark

Averagesome
Goodmost
Greatall

Measure with

Maze UserTesting

Example bullet

Validated every major concept with users before a line of code.

4

Usability & Findings

A UX Researcher finds what does not work. These show the usability gains you proved.

Usability issues found

Problems your testing caught.

Benchmark

Averagesome
Goodmany
Greatmost

Measure with

UserTesting Maze

Example bullet

Found 140 usability issues before launch.

Task success benchmarked

Task completion you measured.

Benchmark

Averagemeasured
Goodtracked
Greatbenchmarked

Measure with

Maze UserTesting

Example bullet

Benchmarked task success at 72% and tracked it to 94%.

Severity triaged

High-impact issues you prioritized.

Benchmark

Averagesome
Goodsolid
Greatall

Measure with

Dovetail Notion

Example bullet

Triaged every finding by severity so the team fixed the worst first.

Benchmark score

Usability score you tracked.

Benchmark

Averagemeasured
Goodtracked
Greatlifted

Measure with

Maze Hotjar

Example bullet

Tracked SUS from 68 to 84 across the redesign.

Before / after lift

Improvement your research proved.

Benchmark

Averagesome
Goodsolid
Greatbig

Measure with

Maze Amplitude

Example bullet

Proved a 30-point jump in task success after the rework.

5

Research Ops & Scale

A UX Researcher scales the practice. These show the research ops you built.

Participant panel built

Recruiting pipeline you set up.

Benchmark

Averagea list
Gooda panel
Greata program

Measure with

Dovetail Notion

Example bullet

Built a 2,000-person research panel from scratch.

Recruitment time cut

Speed you added to sourcing users.

Benchmark

Averagefaster
Goodmuch faster
Greatdays to hours

Measure with

UserTesting Maze

Example bullet

Cut participant recruitment from two weeks to two days.

Research repository

Knowledge base you built.

Benchmark

Averagenotes
Goodorganized
Greatsearchable

Measure with

Dovetail Notion

Example bullet

Built the searchable insight repository the org now uses.

Research democratized

Teammates you enabled to research.

Benchmark

Averagesome
Goodmany
Greatthe org

Measure with

Maze Miro

Example bullet

Trained 40 designers and PMs to run their own studies.

Reusable templates

Research kit you standardized.

Benchmark

Averagesome
Goodmany
Greata system

Measure with

Notion Dovetail

Example bullet

Standardized the study templates the team now runs from.

6

Reach & Adoption

A UX Researcher gets the work used. These show how far the work reached.

Teams reached

Teams using your research.

Benchmark

Averagea team
Goodseveral
Greatthe org

Measure with

Notion Dovetail

Example bullet

Got research used by every product team in the org.

Repository usage

Insight reuse you drove.

Benchmark

Averagesome
Goodbroad
Greatheavy

Measure with

Dovetail Notion

Example bullet

Drove the insight repo to 500 monthly views.

Stakeholders briefed

Leaders you kept informed.

Benchmark

Averagesome
Goodmany
Greatexec

Measure with

Notion Miro

Example bullet

Briefed exec leadership on research every quarter.

Audience reached

Users your work served.

Benchmark

Averagethousands
Good100k+
Greatmillions

Measure with

Amplitude Mixpanel

Example bullet

Shaped a product used by 5M monthly users.

Research influence

How far your findings traveled.

Benchmark

Averagea team
Gooda product
Greatthe strategy

Measure with

Notion Dovetail

Example bullet

Fed research directly into the annual product strategy.

Do your best research numbers make the resume?

Research yields numbers most teams would kill for: decisions shifted, builds saved, usability lifted, adoption. The error is sinking them under a heap of every product you have touched. Tough to spot in your own pages.

Let me extract them.

I'll go carefully through your UX Researcher resume the way a hiring manager reads it and single out which numbers matter, which to tidy, and what to delete. Free, within 12 hours.

Get a Free UX Researcher Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

Want to read more first? See how the resume review works →

Qualitative metrics

What if I don't have numbers to share?

No figure does not mean no impact. Lacking a number, the ground you handled and the decision it moved still count. Each type here shows a fair way to capture it, with a sample line.

1

Research Impact & Decisions

Impact owned

When to use it: the team built on opinion, not evidence

Example bullet

Owned the work that put real user evidence behind the big calls.

Decision habit built

When to use it: research was an afterthought

Example bullet

Built the habit of checking research before the team commits.

Before / after impact

When to use it: features shipped and missed

Example bullet

Tested early until the team shipped what users actually needed.

2

Studies & Output

Practice owned

When to use it: no one owned research

Example bullet

Owned the work that turned scattered feedback into a real research practice.

Cadence built

When to use it: research happened only in a crisis

Example bullet

Built the regular research rhythm the team now plans around.

Before / after studies

When to use it: the team guessed at user needs

Example bullet

Ran studies until decisions rested on what users actually did.

3

Methods & Rigor

Rigor owned

When to use it: findings were anecdotes, not evidence

Example bullet

Owned the work that held research to a real bar of rigor.

Standard built

When to use it: everyone ran studies their own way

Example bullet

Built the research standard the team now runs every study to.

Before / after rigor

When to use it: one loud user could swing a decision

Example bullet

Tightened the method until findings held up under scrutiny.

4

Usability & Findings

Usability owned

When to use it: no one tracked how the product performed

Example bullet

Owned the work that made a clumsy product genuinely easy.

Benchmark built

When to use it: there was no usability baseline

Example bullet

Built the usability benchmark the team now tracks every release to.

Before / after usability

When to use it: users kept failing the core task

Example bullet

Tested and retested until people finished the task first try.

5

Research Ops & Scale

Ops owned

When to use it: every study started from zero

Example bullet

Owned the work that gave the team a research engine to run on.

Repository built

When to use it: insights were lost after each project

Example bullet

Built the insight repository the whole org now searches.

Before / after ops

When to use it: recruiting a study took weeks

Example bullet

Streamlined the pipeline until a study could start the same day.

6

Reach & Adoption

Reach owned

When to use it: research sat in a drawer

Example bullet

Owned the work that got research in front of the people who decide.

Influence built

When to use it: no one read the reports

Example bullet

Built the repository and rituals that got the org using research.

Before / after reach

When to use it: findings never left the research team

Example bullet

Pushed the work until research shaped decisions across the org.

UX researcher, or someone who just runs surveys?

A pile of tool names tells a recruiter nothing about whether you move decisions; the figures do that. Drop the draft on me and I will spell out where it shows real research and where it sinks to a pile of survey screenshots.

I return a clear-headed read of your UX researcher resume with a short, pointed list of fixes, returned within a day, free.

Get a Free UX Researcher Resume Review

I review personally all resumes within 12 hrs

PDF, DOC, or DOCX • under 5MB

Want to read more first? See how the resume review works →

Frequently asked

UX Researcher resume metrics FAQ

Tell the qualitative story. Numbers are best, though the breadth you held and the distance you moved things matter too. Point to a study leadership acted on, a fuzzy problem you made clear, or the insight the team now builds from. A recruiter reads those as real research work, with nothing fabricated. Each card up there pairs a worked example.

Yes, if it is an estimate you could stand behind. Say you sped up recruitment but never noted the starting point: "roughly a third of its old turnaround" is fine. Lean on a ratio while the real numbers stay private. One condition only: you can account for how you arrived there.

Don't. A UX research interview gets into the weeds, and a fabricated number collapses as soon as someone asks how you ran the study or what your sample was. One invented figure can wreck the entire loop. A line on the scope you handled stays truthful and still counts.

Not every line. Keep numbers to the strongest few bullets you have, the first a recruiter reads. Number every line and the good ones vanish, and the rest reads as padding. Two or three you can stand behind beat a page jammed with them.

Lead with whatever makes the result clearest. An impact figure stands as an absolute ("30 decisions shaped"); a change reads in percent ("task success up 22 points"). Toss any lone percentage missing its baseline. Stack the two where you can: "cut recruitment from two weeks to two days."

Yes, and they come to hand more easily than juniors think. A usability score before and after, the studies you ran, an experiment you helped read, or a survey you fielded can each emerge from just one project or internship stint. No big employer needed, only that the work landed.

Nearer than you might expect. Adoption shows up in your repo and product analytics; impact traces to the decisions your work fed; study and recruitment times sit in your testing tool and notes; experiment results live in your analytics. If it was all a while back, offer a fair estimate and own it.

Just one, and set it near the top. A lone headline number, the call you changed or your strongest usability or adoption win, wins another beat or two of recruiter attention. Everything else goes in the work-experience bullets. The UX researcher resume guide covers writing that summary.

Who wrote this

Built by an ex-Google recruiter

Emmanuel Gendre, former Google Recruiter and Tech Resume Writer

Emmanuel Gendre

Former Google recruiter · 12 years · 1,500+ tech resumes rewritten

I screen UX Researcher resumes the same way I did at Google: against the role profile, against the JD, and against the bar real hiring managers set. The metrics on this page are the ones I tell my own clients to chase.

Read my full story →

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