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Leah Okonkwo

UX Designer · Research-led · IA + interaction · B2B SaaS
Chicago·US

Contact

+1 (773) 555-0148
leahokonkwo.design
linkedin.com/in/leahokonkwo

Skills

Research
Jobs-to-be-doneTree testingFormative usabilityCard sortingDovetail
Craft
FigmaIA + interaction designAccessibility (WCAG AA)

Education

MHCI in Human-Computer Interaction
Carnegie Mellon University
Sep 2018May 2020
  • Master's capstone: research-repository tooling for distributed UX teams.
BA in Cognitive Science
Northwestern University
Sep 2014May 2018

Summary

UX designer with four years on the platform team at Helix, a Series B B2B SaaS. Own the research + IA cadence for the merchant dashboard. Most recent project: tree-tested the new navigation across 32 participants — findability lifted from 47% to 78%, shipped to 100% of merchants in Q3.

Experience

UX Designer (Platform)
Helix · Chicago, IL
Feb 2023Present

Own the research + IA cadence for the merchant dashboard. Partner with two PMs and a 6-engineer team weekly on the planning roadmap.

  • Tree-tested the new navigation across 32 participants; findability lifted from 47% to 78%, shipped to 100% of merchants in Q3.
  • Ran 18 jobs-to-be-done interviews on the SMB tier; synthesis sourced two roadmap themes for the next two quarters.
  • Authored the design-research repository in Dovetail (now 120+ tagged insights); referenced across three product-area planning cycles.
  • Partnered with the lead PM on the dashboard IA rebuild; task-completion rate on key flows rose from 62% to 84% post-launch.
Junior UX Designer
Squarespace · New York, NY
Jul 2020Jan 2023

UX designer on the small-business surfaces team. Promoted from Associate to Junior in 14 months.

  • Co-led the formative usability study for the v3 site-builder; recruited 24 participants, ran 18 moderated sessions over 4 weeks.
  • Built the team's first IA testing playbook (tree testing + first-click testing + card sorting); now standard before any nav rebuild.

Portfolio

  • Helix dashboard IA rebuildCase study: research → IA → tree testing → ship
  • Squarespace v3 site-builder usabilityFormative usability protocol + findings + redesign
12 palettes

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Saoirse Ní Cheallaigh-Park

Staff Writer · AI Policy Beat · 14M MR · 84 Bylines/Yr · SABEW '24
Brooklyn·US·[email protected]·+1 (718) 555-0381·saoirseninja.com (portfolio)·muckrack.com/saoirse-nicheallaigh

Summary

Staff writer covering AI policy + emerging-tech regulation at a 14M monthly-readers publication; 84 bylines in 2024 (4 cover features); 2 pieces syndicated by Reuters; co-authored 2024 investigation that won SABEW Best in Business. Previously at MIT Technology Review. Published in NYT + Wired + The Atlantic.

Experience

Staff Writer — AI Policy + Emerging Tech
The Verge (14M monthly-readers publication) · Brooklyn, NY / Remote
Jun 2022Present
  • Bylines: 84 in 2024 (62 reported pieces + 14 explainers + 8 long-form features); features avg 6,800 pageviews + 380 social shares; longest-running explainer series (4 articles, 280k combined pageviews) drove 8,400 newsletter signups.
  • Investigation: led 4-month investigation into AI training-data licensing practices (co-authored with 2 reporters + 1 data team member); 14 sources + 4 FOIA requests; published 8,400-word feature Sept 2024; SABEW Best in Business 2024.
  • Reuters syndication: 2 pieces syndicated to Reuters in 2024 (combined estimated 4M cross-outlet reach); built relationships with 4 Reuters editors for future syndication.
  • Cross-functional: weekly pitch meetings with section editor + ME; partnered with photo (4 photographers) + video (8 video producers) on feature multimedia packages; co-built the AI-coverage glossary with FT, used by 38 reporters across the newsroom.
  • Source-building: maintain 184 active source contacts (in Airtable); 38 senior-executive sources, 84 researcher / engineer sources, 62 policy + regulator sources; monthly check-in cadence with top 14 sources.
Senior Editorial Staff Writer
MIT Technology Review · Cambridge, MA
Apr 2019May 2022
  • Covered AI + biotech beat for 3 years; 4 cover features (combined 480k pageviews + 14k social shares).
  • Built relationships with 38 sources across MIT + Stanford + UC Berkeley research labs that still inform current beat.
Freelance Contributor
Wired + The Atlantic + Stratechery + others · Various
Aug 2017Mar 2019
  • 38 pieces across 6 outlets over 18 months; built portfolio + recurring relationships before moving in-house.
  • Cover feature at Wired ('The AI Safety Researcher Nobody Reads', Q3 2018) drove 380k pageviews + The Daily quotation.

Awards + Recognition

• SABEW Best in Business 2024 (for AI training-data licensing investigation). • SFJ Best Long-Form Nomination 2024. • ONA finalist 2023 (excellence in technology reporting). • Loeb Award nominee 2022 (for cover feature on AI safety research).

Tools + Workflow

Editorial Stack
Sanity CMS (4 yrs primary)AP Stylebook + outlet-specific styleChartbeat + Parse.ly (audience)Muck Rack + Authory (portfolio)
Research + Workflow
Airtable source database (184 sources)Otter.ai + Trint (transcription)FOIA request workflow + records review

Education

Master of Science in Journalism (Investigative concentration)
Columbia University Graduate School of Journalism
Aug 2016May 2017

Minimal Editorial

Whitespace-led editorial single-column

Dmitri Volkov

Senior Growth Marketer · PLG SaaS · 12 Experiments/Mo · Trial→Paid 14%→25%
Austin·[email protected]·+1 (512) 555-0381·linkedin.com/in/dmitri-volkov-growth

Summary

Senior Growth Marketer at a Series C PLG SaaS; owns the activation + monetization funnel ($14M ARR contribution). Ships 12 experiments/month with 38% positive-result rate. Lifted trial-to-paid conversion 14% → 25% (+11pp) over 18 months. PLG mechanics rebuild (in-product activation flow + freemium-to-paid prompt) drove 7-day activation 42% → 64%.

Experience

Senior Growth Marketer
Quill · Austin, TX
Aug 2022Present

Series C PLG SaaS. Owns the activation + monetization funnel. Partners weekly with 2 PMs + 2 engineers + 1 data analyst.

  • Experimentation program: 144 experiments shipped in 2024 (avg 12/month); 38% positive (statsig + practically meaningful), 28% null, 34% inconclusive; primary test surfaces: signup, onboarding, pricing page, in-product activation.
  • Funnel improvements 2024: signup → trial 38% → 56% (+18pp via signup-form redesign), trial → activated 42% → 64% (+22pp via onboarding rebuild), trial → paid 14% → 25% (+11pp via pricing-page + email-nurture work).
  • PLG mechanics: rebuilt the in-product activation flow (5 steps → 3 steps); added Aha! moment trigger at minute 4 (was minute 11); 7-day activation rate rose 42% → 64%; rebuilt the freemium-to-paid prompt + upgrade flow.
  • Email lifecycle (Iterable): rebuilt the 14-touch new-user nurture sequence + the 8-touch trial-ending sequence; trial → paid attributable to email 22% (was 14%); avg email open 38%, click 8%.
  • Statistical rigor: defined MDE + sample-size requirements per test surface; stopped 12 experiments early for futility per pre-registered stop rules; no peeking, no p-hacking culture.
Growth Marketer
Notion · Remote
Jun 2020Jul 2022
  • Ran 60 experiments across signup + activation surfaces; 32% positive-result rate.
  • Co-owned the freemium → paid prompt rebuild that drove +14pp monetization lift in the Pro plan.

Unit Economics + Cross-Functional

• Unit economics partnership: monthly with finance team on CAC payback + LTV/CAC tracking; informed $4.8M of 2024 demand-gen spend allocation based on segment LTV/CAC profiles. • Cross-functional: weekly experiment review with 2 PMs + 1 PM lead + 2 frontend engineers + 1 data analyst; quarterly growth roadmap with VP Product + VP Marketing + Head of Data. • Authored the team's experimentation playbook: hypothesis framework + 6-week test-cycle + post-launch holdout discipline + cross-team learning syndication; adopted across 4 growth pods.

Tools + Stack

Experimentation + Analytics
Amplitude (product analytics + experiments)Statsig (advanced experimentation)Mixpanel (legacy)BigQuery + Looker Studio + dbt
Lifecycle + CDP
Iterable (email lifecycle)Customer.io (lifecycle)Segment (CDP)Hotjar + FullStory (behavioral)

Community + Speaking

• Reforge alum — Growth Series (2022) + Retention + Engagement (2023). • Lenny's Slack community member. • Section's Growth Sprint 2024 speaker — 'Building experimentation velocity' (220 in-room). • Mentored 2 growth associates through their first solo experiments; both shipped 4+ experiments by month 6 with positive learnings.

Education

BBA in Marketing + Computer Science (double major)
UT Austin McCombs
Aug 2014May 2018
  • Beta Gamma Sigma; McCombs Marketing Society President.

Modern Header

Oversized typographic name lockup

Tiana Adams

HR Business Partner · 600 employees · SHRM-CP · Workday HCM
Boston·US·[email protected]·+1 (617) 555-0148·linkedin.com/in/tianaadams-hr

Certifications

SHRM-CP (Certified Professional)
SHRM·Aug 2022

Skills

Function
Compensation bandingEmployee relationsPerformance management cycleMulti-state employment compliance
Systems
Workday HCMGreenhouse (ATS)Culture Amp + LatticePave (compensation)

Summary

HR Business Partner with five years of B2B SaaS HR experience. Currently support 600 employees across the engineering org at Vellum (Series B). SHRM-CP certified. Workday HCM + Greenhouse + Culture Amp. Most recent work: led the FY24 compensation refresh + the company's first DEI hiring scorecard.

Experience

HR Business Partner
Vellum · Boston, MA
Apr 2022Present

HRBP supporting 600 employees in the engineering org. Report to the Senior HR Manager; partner weekly with the VP of Engineering + the engineering Director cohort.

  • Led the FY24 compensation refresh for the engineering org (320 employees); rolled out standardised salary banding via Pave with the VP of Engineering.
  • Designed and shipped the company's first DEI hiring scorecard with TA + the head of engineering; underrepresented hires increased from 18% to 31% of new-hire cohort.
  • Investigated and resolved 14 ER cases in FY24; zero litigation, all closed within the company's 30-day SLA.
  • Built the company's first PIP framework with a 30/60/90 cadence; PIP completion rate (improvement vs separation) rose from 22% to 53%.
HR Specialist
Genesys Bio · Cambridge, MA
May 2020Mar 2022

HR Specialist supporting the R&D org (180 employees). Promoted to HRBP after 22 months.

  • Owned the FMLA + ADA accommodation processes; reduced average processing time from 11 days to 5.
  • Authored the company's first standardised exit-interview protocol; insights drove the FY22 retention strategy.

Education

BS in Industrial and Labor Relations
Cornell University, ILR School
Sep 2016May 2020
  • Concentration in human resources studies. Beta Gamma Sigma.

Cascade

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