Participant #001 · Session live

Experiment 01 — First impressions

NithinNamani

UX DesignerNew York · E-commerce + Fintech

Every great experience starts as a hypothesis.

View the evidence Debrief with me

Currently designing ticketing at SeatGeek →

Nithin Namani wearing a suit — Nithin, 2026NYC

Start the study

Experiment 02 — Work

The proof, documented.

Six projects, written up the way they actually happened — the first guess, what the research turned up, the versions that failed testing, and what made the final cut. The polished screens are in there too. They're just not the whole story.

Hypothesis

Final screens alone prove nothing. The research behind them does.

Result

Six reports below, each one click from here.

Concept project — not affiliated with Nike

Nike Commerce — Desktop

The desktop edition of the Nike store, built in Figma as the V3 Motion flow (starting at V3 D01 Home · Settle) and walked end to end below — laid out the way nike.com actually presents on a wide screen: utility bar, full navigation, search, and bag. Home, sign-in, verification, departments, browse, the Free RN Flyknit product page with inline size selection, bag, checkout, and a confirmed order. One shoe, carried through every screen without losing context. Designed to WCAG 2.1 AA.

SurfaceDesktop web only

Built inFigma · V3 Motion Flow

Flow9 screens · 1 journey

AccessibilityWCAG 2.1 AA

Open the Figma desktop prototype ↗ View the Figma design file ↗

Below is the Motion Design walkthrough — it plays itself, right here on the page (pause it any time). Watch the beats: the dawn hero settles in layer by layer, Browse cards stagger up, the grid photo morphs into the product page, a size ticks in, and then the centerpiece — the shoe arcs into the bag, the badge pops, and the mini-bag drawer slides in. Checkout fills its stepper, Place Order runs a processing state, and the confirmation check lands with a bounce. Products and prices match the Figma file exactly — the same set the V3 Motion flow runs.

Jordan Converse

Search

Four runners above a sea of clouds at dawn

Nike Running · The Morning Collection

Chase the Morning Light

Built for the first miles of the day — the Free RN Flyknit and the crew that chases sunrise.

Nike SuperRep Go training shoe in volt — SuperRep Go · $100

Nike Air Force 1 Shadow in pastel — AF1 Shadow · $135

Nike Kyrie 7 basketball shoe in black — Kyrie 7 · $130

Your account for
everything Jordan

Sign in for faster checkout, order tracking, and Member-only drops. Demo account is pre-filled — just continue.

Email address

Password

Not a Member yet? Join now · Forgot password?

Enter the code

We sent a 6-digit code to nithin@demo.nike. Watch it fill in — this is the step shoppers abandon when it feels like a dead end, so it types itself, confirms inline, and moves on.

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Didn't get it? Resend code

Search

Shop by department

You're signed in — pick a department to start browsing. Running carries the Free RN story forward.

free rn flyknit

Men's Shoes (248)

Running · Training · Lifestyle · Basketball — the grid settles in card by card. The Free RN Flyknit is the thread: tap it and its image morphs straight into the product page.

Search

Running / Shoes / Nike Free / Free RN Flyknit

Just In · Nike Running

Nike Free RN Flyknit

Unisex Running Shoes · University Red / White

★ 4.7 · 1,892 reviews

$130 · Free Member shipping

Select size (US Men) Size guide

✓ Free standard shipping for Members✓ Free 60-day returns — wear them first✓ Pick up today at SoHo, New York

Search

Your bag

Nike Free RN Flyknit

Running Shoes · University Red / White
Size US 9.5 · Qty 1

$130.00

The same shoe, the same size you picked on the product page — nothing re-asked, nothing re-found. That continuity is the design decision this whole flow is testing.

Checkout

First name

Last name

Address

Card number

Expiry

CVV

Encrypted & secure · Every field is labeled and keyboard-reachable — the WCAG 2.1 AA pass covers this form, not just the pretty screens.

Order confirmed

Thanks, Nithin — order #NK-2026-1042 is in. Your Nike Free RN Flyknit (size US 9.5) arrives in 3–5 business days, and the receipt is on its way to nithin@demo.nike.

Nike Free RN Flyknit

University Red / White · Size US 9.5 · $140.73 total

Motion tour — press Play and watch Screen 1 of 9 · Home

Concept project — PlayStation 5 (not affiliated with Sony)

PlayStation 5 — PS5 Launch Day

A console store built around launch day, not a generic checkout — and the hardware is the real thing: the actual PlayStation 5 and DualSense, in real product photography on every screen. You choose your console — Disc or Digital — meet the PS5 up close, build a three-game launch library, gear up, trade in your PS4, and pick delivery or pickup, so your games are already installing when the box arrives. The carried build: PS5 Disc Edition $649.99 + Marvel's Spider-Man 2 $69.99 + Astro Bot $59.99 + Helldivers 2 $39.99 + DualSense $74.00 + Charging Station $29.00 = $922.96, less a $100 PS4 trade-in, plus $65.84 tax — $888.80 in total. Designed to WCAG 2.1 AA.

SurfaceDesktop web only

Built inFigma · PS5 Launch Day

Flow9 steps · 1 journey

OrderPS5-2481 · $888.80

Open the Figma prototype ↗ View the Figma design file ↗

Below is the Motion Design walkthrough — it plays itself, right here on the page (pause it any time). This pass — Boot & Light States — runs the whole store on the console’s own lights, because that is how the hardware talks. Home boots in four beats inside one frame: one amber segment glowing in standby, a thumb on the power button, the LED strip chasing alight segment by segment, full white at boot, then player blue when the store is live (watch — the boot loops). From there every piece reads a light: the editions answer in white or blue; the console tour is four real photographs in four light states; the DualSense light bar holds player blue, rolls a pulse wave, then lights L2 and R2; the bar changes colour to match each game in the launch library — Spider-Man red, Astro cyan, Helldivers orange; the dock reports charge as a filling gauge, 24 → 68 → 100 READY; the PS4’s light transfers to the PS5 as the −$100 credit lands; and after Pay $888.80, three install bars fill game by game to ALL READY. Every piece is standalone inside its own frame; screens join by plain navigation only. Nothing morphs, travels, or assembles between screens. Screens and prices match the Figma file exactly.

PlayStation 5 home — Boot and Light States pose 1, standby: one amber LED segment glowing

PlayStation 5 home — Boot pose 2, power press: the LED strip chasing alight

PlayStation 5 home — Boot pose 3: the LED strip at full white, the DualSense light bar answering

PlayStation 5 home — Boot pose 4, ready: player blue, the store live

Choose your console — the Disc Edition answering in white light

PS5 product page — the console light tour, rear view with every port lit

DualSense light bar piece — the controller steady in player blue

DualSense light bar piece — a pulse wave rolling across the bar, five of eight readout segments lit

DualSense light bar piece — L2 and R2 lit for the adaptive triggers

Build your launch library — the light strip under the gameplay panel in Spider-Man red

Gear up — the charge gauge at 24 percent

PlayStation 5 confirmed, order PS5-2481 — the install light-fill complete, all games ready

Motion tour — press Play and watch

Concept project — fictional brand “Skylark”

Skylark Drone — Fly Before You Buy

A drone store built on one rule: the product presents itself in place, and nothing flies between screens. You shop by mission — Film, Travel, Racing, Inspection — compare flight specs side by side, watch the Air Pro hold its hover against the gusts inside the hero frame, then turn it in a 360° viewer that runs into an airspeed ladder and an obstacle-sense test, without it ever leaving its frame. The Flight Kit adds two extra batteries and Skylark Care Refresh, the fly-safe check draws your first flight’s altitude profile and clears it, and the order closes with a return-to-home plan. $999 + $198 + $99 + $103.68 tax = $1,399.68, delivered free Fri, Oct 23, with a First-Flight Plan for Saturday morning. No quiz, no login. Designed to WCAG 2.1 AA.

SurfaceDesktop web only

Built inFigma · Fly Before You Buy

Flow8 steps · 1 journey

OrderSK-2481-DR · $1,399.68

Open the Figma prototype ↗ View the Figma design file ↗

Below is the Motion Design walkthrough — it plays itself, right here on the page (pause it any time). This pass — Wind & Air — is built on one idea: the drone fights, rides, and reads the air, and it never has to take off to prove it. The hero holds position against the weather: calm air, a gust front leaning the Air Pro into the wind, the peak at 24 KM/H with drift corrected, then rock steady again. In the product viewer the turntable gives way to an airspeed ladder — the air itself speeding up around the fixed photograph, 0 → 36 → 68 KM/H — and then obstacle sense, rings pulsing out until the marker turns teal: AVOIDED · COURSE HELD. The first flight’s altitude profile draws itself across the Fly-Safe chart before you pay, and the confirmation ends with return-to-home counting down inside its map card: 420 M → 180 M → LANDED · HOME SAFE. Every piece plays inside its own screen; screens connect by plain navigation only. Screens and prices match the Figma file exactly.

Skylark home hero — Hold Position pose 1, the Air Pro level in calm air

Skylark home hero — Hold Position pose 2, a gust front arrives and the Air Pro leans in

Skylark home hero — Hold Position pose 3, gust peak, drift corrected

Skylark home hero — Hold Position pose 4, holding rock steady

Shop by mission with the Skylark line-up grid

Compare flight specs, three drones side by side

Skylark Air Pro product page — the viewer turning the drone inside its frame, front view

Skylark Air Pro airspeed ladder pose 1 — hover, 0 KM/H, the air still

Skylark Air Pro obstacle sense pose 1 — sensor rings scanning

Flight Kit with batteries, filters, propellers and Care Refresh

Skylark confirmed, order SK-2481-DR — return to home pose 1, 420 M to go

Motion tour — press Play and watch

Concept project — fictional brand “Lumen”

Lumen Camera — Build Your Kit

Cameras are bought as kits, so this store is a kit builder, not a product page with a buy button. You explore by shooting style, browse five bodies in a clean gallery grid, then compose your kit — the M6 rangefinder body and 35mm f/1.4 first, then the 256GB SD UHS-II card, leather strap and LumenCare protection, the total rolling with each addition. Trade in your old body for −$450 (or rent the kit first, $0 today), and pay outright or over 12 months. Kit $3,735.00 − $450 + $262.80 tax = $3,547.80 — or $295.65/mo × 12. Designed to WCAG 2.1 AA.

SurfaceDesktop web only

Built inFigma · Build Your Kit

Flow9 steps · 1 journey

OrderLM-2481 · $3,547.80

Open the Figma prototype ↗ View the Figma design file ↗

Below is the Motion Design walkthrough — it plays itself, right here on the page (pause it any time). This pass — Shutter & Exposure — times the light: every piece is a real camera control changing one real photograph, in place, inside its own screen. The hero fires the focal-plane shutter — curtain closed, first curtain, fully open, captured. On Product, one page carries three light instruments: the shutter-speed ladder runs one street photograph at 1/15, 1/250 and 1/2000 with the exposure dial tracking underneath; exposure compensation rides the same frame from +2 EV through 0 to −2; and an ND filter screws on in three stops — ND2, ND8, ND64 — each stop of glass buying a slower shutter. The Night frame holds itself open — 8 seconds, then 30 — until the street paints itself; Kit Builder compares fields of view at 28, 35 and 50mm; and the confirmation develops frame 14, then prints it, bordered and yours to keep. Nothing travels between screens. Screens and prices match the Figma file exactly.

Lumen home — the M6 hero, one product and one promise: light, let in slowly

Lumen M6 product page — the viewer hub with its ladder, dial strip and ND filter chip

Shutter-speed ladder at 1/15 — the street photograph streaked with motion (the ladder frame's own photograph)

Shutter-speed ladder pose 2 — 1/250, the untouched street photograph, the dial tracking underneath

Shutter-speed ladder at 1/2000 — the same photograph frozen mid-stride (the ladder frame's own photograph)

Exposure compensation at +2 EV — the street photograph lifted two stops (the frame's own photograph)

Exposure compensation at −2 EV — the same photograph two stops under, falling toward silhouette

ND filter pose 1 — ND2, one stop of glass over the daylight frame, the dial answering 1/125

Shot on Lumen, the Night frame — with its Hold It Open long-exposure entry chip

Field of view at 28mm — the full street scene from one spot on the pavement

Kit builder — the full kit at $3,735.00 with the field-of-view hint on the lens card

Confirmed, order LM-2481 — frame 14 printed, bordered and yours to keep, the contact sheet complete

Motion tour — press Play and watch

Concept project — fictional brand “Volt Cycles”

Volt Cycles E-Bike — Test Ride First

An e-bike store that starts with a ride, not a checkout. You book a free 45-minute test ride at a studio, get fitted from a single number — 178 cm becomes a Volt One Size M/L with the saddle at 86 cm — then shop five bikes with your fit already flagged. The carried Volt One is Matte Black (Matte Sage remains a selectable swatch): $2,899, plus a rear rack ($89) and smart lock ($129) chosen in Build Yours, with delivery and assembly free — $3,117 + $249.36 tax = $3,366.36. It arrives Sat, Oct 24, 9–11 AM, and a mechanic assembles it at your door. Designed to WCAG 2.1 AA.

SurfaceDesktop web only

Built inFigma · Test Ride First

Flow8 steps · 1 journey

OrderVC-2481 · $3,366.36

Open the Figma prototype ↗ View the Figma design file ↗

Below is the Motion Design walkthrough — it plays itself, right here on the page (pause it any time). This pass — Night Ride & Cadence — is about light after dark, and the rhythm of pedalling. On Home the hero goes to dusk in place: the same photograph dims, the headlight wakes at low beam with a pool of light on the ground ahead of the front wheel, then the cone widens to high beam and the handlebar display lights up in the dark — SEE & BE SEEN. Inside Book a Test Ride, Lock & Go breathes pulse rings out from the frame lock until the panel reads UNLOCKED · READY TO RIDE, your phone the key all along. On Product the Matte Black Volt One turns in place, then the cadence piece steps the crank from rest to a relaxed 60 RPM and a held 85. On Build Yours the range ring fills as the battery steps up — 90 KM of City range at three-quarters, then the full circle, Touring 120 KM — and Confirmed ends lit: the Riverside Loop glowing segment by segment to ROUTE LIT · READY, headlight on auto. Every piece plays inside its own screen; screens connect by plain navigation. Screens and prices match the Figma file exactly.

Volt Cycles home — Night Ride pose 1, the Matte Black Volt One in daylight, lights off

Volt Cycles home — Night Ride pose 2, dusk: the photo dimmed, low beam pooling ahead of the front wheel

Volt Cycles home — Night Ride pose 3, beam high: the cone widened, the pool grown, the display lit

Book a test ride with studio, day and time selection

Book a Test Ride — Lock and Go pose 1, locked, one faint pulse ring at the frame lock

Book a Test Ride — Lock and Go pose 3, unlocked and ready to ride

Volt One product page — the Matte Black bike at the front three-quarter turntable pose

Cadence pose 3 — 85 RPM, the cruising rhythm held

Build Yours — the Range Ring pose 1, City 90 KM at three-quarters, the total still $3,366.36

Confirmed, order VC-2481 — First Ride Lit pose 1, the Riverside Loop still dark in its route card

Motion tour — press Play and watch

Experiment 03 — About

The human behind the hypotheses.

I'm a UX Designer with 4+ years across e-commerce, fintech, and SaaS. The short version of how I work: I interview people, find the exact spot where the product is fighting them, and redesign that flow. Then I stick around through the build — in my experience, that's where good designs quietly go to die.

evidence first, always.

Download resume

Researcher dossier · NN-001filed & current

Career record

SeatGeek · UX Designer

Current

New York, NY · Nov 2023 – Present

Redesigned ticket discovery and checkout—+28% conversion and −35% task completion time. Conducted 50+ user interviews and shipped 15+ features across iOS, Android, and web.

Clearwater Analytics · UX Designer

Led end-to-end UX for an investment analytics platform serving 500+ institutional clients. Built a design system and component library that reduced inconsistency by 45%, and shipped 10+ features.

Experiment 04 — Results

What the data says.

Five numbers I can back up — every one earned on the job, at SeatGeek and at Clearwater Analytics. The reports in Experiment 02 have the receipts.

Finding 01 · SeatGeek

+28%

conversion after redesigning ticket discovery and checkout

Finding 02 · SeatGeek

−35%

task completion time across the redesigned flow

Finding 03 · Research

50+

user interviews and usability sessions

Finding 04 · Systems

100+

components adopted by four product teams

Finding 05 · Access

95%

WCAG 2.1 compliance; 10+ teammates trained

Experiment 05 — Testimonials

Good work is a team result.

Five people I've worked with — a product manager, two Airbnb hosts, a senior designer, and a researcher — on what the work was like from their side of the table.

He listens first, then designs. I'd bring him a tangle of requirements and get back a flow people could actually follow — and when a decision got questioned, he had the user feedback behind it. Accessibility was never a final pass; it was in the work from the start.

Olivia Hayes Product Manager

I used to set my prices on guesswork. I marked up the early prototype, said exactly what confused me, and the next version turned that feedback into trends I could read at a glance. You could see our notes in the tool — and I set my prices with confidence after that.

David M. Airbnb Host

His AI project could have been a tech demo. Instead, the technology stayed where it belongs — in support of the design — and the people stayed at the center of it. A complex idea, made practical and ethical, with real respect for the humans using it.

Daiwat D Senior UX Designer

Nithin works the way researchers hope designers will: structured, evidence first, every step accounted for. But the data never flattens the people in it. He blends what the numbers say with what users actually feel — and that's why his solutions land as intuitive, not just correct.

Ravi Menon UX Researcher

Experiment 06 — Quick read

Need the 60-second readout?

Four questions I get in almost every first conversation. Pick one — the short answer, no deck required.

Four-plus years of UX, in order: Clearwater Analytics, Noida (Feb 2021–Apr 2023) — investment analytics dashboards for institutional investors; an MS in HCI Design at Harrisburg University (2024); then SeatGeek, New York (Nov 2023–present) — where I redesigned ticket discovery and checkout.

Experiment 07 — Contact

Study complete. Let's talk.

Hiring for a UX role, or stuck on a product problem you want a researcher's eyes on? Write it up below and hit Send Email — Gmail opens with the message addressed straight to Nithin's inbox.

Emailnithinnamani994@gmail.com

Phone+1 (717) 567-1773

LocationCarlisle, PA 17015

LinkedIn ↗

Tool	Overview	Key features	Strengths	Weaknesses	Cost
AirDNA	Global short-term rental analytics for investors and managers.	Forecasting, market trends, benchmarks, revenue and occupancy reports.	Comprehensive data and global coverage.	Expensive and complex for individual hosts.	Paid subscription.
Beyond Pricing	Dynamic pricing automation based on demand and booking data.	Daily updates, revenue optimization, demand insights.	Automated and low effort.	Heavy reliance on historical data.	1% revenue share.
Wheelhouse	Accessible dynamic-pricing dashboard for hosts.	Localized data, recommendations, automated adjustments.	Intuitive and user-friendly.	Limited advanced features and customization.	Monthly subscription + trial.
PriceLabs	Customizable pricing with real-time market analytics.	Rules, market signals, portfolio controls.	Real-time data and flexibility.	Steep learning curve.	Flexible subscription.
Metrix	ML + NLP sentiment with explainable host-facing guidance.	Personalized tiers, factor breakdowns, seasonal and review signals.	Transparent, adaptable insights.	Requires data preprocessing.	Likely free for hosts.

Participant	Age	Hosting experience	Location
P1	34	2 years	San Jose, CA
P2	45	5 years	Frankfort, KY
P3	30	6 months	Hartford, CT
P4	28	2 years	Dallas, TX
P5	32	3 years	Bushwick, NYC
P6	41	Under 1 year	Pittsburgh, PA

Product	Strengths	Weaknesses	Opportunity	Distinctive value
My Fitness App Concept	Fitness, food, and sleep in one plan; broad personalization; clear interface.	New concept without established usage data.	Social participation and AI-assisted interpretation.	Holistic tracking and personalization in one experience.
MyFitnessPal Leader	Large food database, active community, wearable syncing.	Restricted free tier and dated interface.	Personal meal guidance and mental-wellness support.	Nutrition data and calorie management.
Nike Training Club Premium	Polished training videos, varied programs, expert-led sessions.	Little nutrition support and a workout-only focus.	Gamification and nutrition partnerships.	Professional coaching through guided workouts.
Fitbit App Analytics	Deep health metrics, sleep and heart-rate insight, community challenges.	Strong device dependency and paid-feature cost.	More independent app value and mental-health tracking.	Real-time wearable integration.

Tool	Strength	Limitation
Hotjar	Heatmaps and session recordings	Does not explain the cause of a problem.
Maze	Prototype testing integration	Limited semantic analysis of research evidence.
Uizard	Generative interface design	Not focused on UX optimization.
FullStory	Behavior and session replay	Insights still require manual tagging.
Galileo AI	Interface concept generation	Does not link concepts to usability evidence.
Google Analytics	Traffic and acquisition analytics	Does not provide diagnostic UX guidance.

Objective	Success metric
Automate analysis	≥50% time reduction
Cross-team alignment	≥80% agreement on severity
Accessibility	≥90% auto-detection
Explainable AI	100% confidence-scored recommendations
Single platform	Analysis + reporting in one workflow

Layer	Technology
Design	Figma
Front-end	ReactJS
Back-end	Flask / FastAPI
AI models	OpenAI GPT-4 + TensorFlow / Keras
Cloud	AWS Lambda + S3
Database	PostgreSQL + MongoDB
Analytics	Python · Pandas · Matplotlib

Risk	Mitigation
Data Privacy	AES-256 encryption, GDPR alignment, consent logging
Algorithmic Bias	Retraining and routine bias tests
Over-reliance on AI	XAI keeps humans in the decision loop
Accessibility Gaps	WCAG audits and screen-reader validation

NithinNamani

The proof, documented.

Intelligent Pricing Model for Airbnb Hosts

AI-Powered UX Optimization Tool

Green Basket

Pulse Fitness Tracker

Tixora

Fundscope

Nike Commerce — Desktop

Chase the Morning Light

Your account foreverything Jordan

Enter the code

Shop by department

Men's Shoes (248)

Nike Free RN Flyknit

Nike SuperRep Go

Air Force 1 Shadow

Air Max 1 Ultra

Nike Kyrie 7

Nike Free RN Flyknit

Your bag

Nike Free RN Flyknit

Checkout

Order confirmed

PlayStation 5 — PS5 Launch Day

Skylark Drone — Fly Before You Buy

Lumen Camera — Build Your Kit

Volt Cycles E-Bike — Test Ride First

The human behind the hypotheses.

SeatGeek · UX Designer

Clearwater Analytics · UX Designer

Human-Centered AI

AI-Augmented Workflows

Ethical AI in Design

Accessibility at Scale

What the data says.

Good work is a team result.

Need the 60-second readout?

Study complete. Let's talk.

Executive summary

Introduction

Background & context

Objective, questions & scope

Project objective

Research questions

Data collection

Competitive landscape

Machine-learning scope

Methodology

Secondary research

Location

Property characteristics

Guest reviews

Market conditions

Host reputation

Spatial data

ML models

Price determinants

Machine learning

Sentiment analysis

Spatial analytics

Dynamic pricing

NYC dataset snapshot

Room-type distribution

Availability

Neighborhood groups

Competitive analysis

ML & dynamic pricing

Random Forest Regressor

Gradient Boosting

Competitive edge

Primary research

Target population

Recruitment venues

Screening & compensation

Eligible

Ineligible

Interview format

Recruitment timeline

Survey insights & findings

Your account for
everything Jordan