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Anoushka Aggarwal

A digital Product Designer from Himachal, India weaving mindful designs for human connections.

Prev. Accenture Song

Pune, India Shipped 7 products
Experience
Accenture Song/Interaction Designer Present
Studio Carbon/Product Design Intern 2024
Selected Work
TIAA
TIAA
Interaction Design
Building a UX testing process from nothing on a platinum financial client — 80+ screens, three releases.
FIS 360 Navigator
Vantage 360 Value Navigator for FIS
SaaS Product · Data Visualization · Agentic AI
An FP&A dashboard that brings together real-time data, variance analysis, and AI-driven commentary across all five core metrics — built for the FIS finance team.
Carma · Agtuall
Carma · Agtuall
B2B SaaS · Product Design
A shipped climate-risk platform helping insurers build ag-insurance that de-risks smallholder farmers.
Unilever UX Audit
UX Audit
UX Research · Audit
Systematic evaluation of product experiences to identify friction, gaps, and opportunities.

If you want to know the details of any project or my availability – get in touch!

I can be easily reached at your convenience via LinkedIn or email.

Background

I'm a product & interaction designer focused on early product thinking in complex, data-rich enterprise and financial systems. I design AI-integrated and agentic product experiences — crafting secure, accessible, scalable interfaces while keeping human judgment in the loop where it matters.

Fluent in design articulation and systematic in execution — and always collecting odd little design-psychology facts about why people behave the way they do.

Experience
Interaction Designer
Accenture Song · FP&A, TIAA, Unilever
Product Design Intern
Studio Carbon · Agtuall / Carma
Education
M.Des, User Experience Design
MIT ADT University
B.Des, Interior Design
MAHE Manipal
Find Me
My Core Values
Staying humble
Respect everyone around you.
Think with your head, not your gut
Logic over personal bias.
Always look back to move forward
Retros after every ship.
Skills & Tools
Product Design Information Architecture Design Systems User Research Accessibility (WCAG) Prototyping Data Viz Figma Jira Notion Photoshop Illustrator
Recognition
Accessibility Certification
IAAP · CPACC
iChamp Client Award
Accenture
Client Hero Award
Accenture · TIAA

If you want to know the details of any project or my availability – get in touch!

I can be easily reached at your convenience via LinkedIn or email.

TIAA

TIAA, Interaction Design

Building a UX testing process from nothing on a platinum financial client — three releases, 80+ screens, zero prior process.

Timeline
2024
Accenture Song
Role / Context
Interaction Designer
UX Testing Lead
Leveraged Skills
Process design, defect taxonomy, stakeholder management

If you'd like to learn more, please get in touch.

At TIAA, I sat offshore on a platinum Accenture Song engagement — closer to the build than the onshore design team, catching defects the day they were created. I became the de facto point of contact for developers, PMs, and product owners on all design quality questions.

The problem was structural: no UXT process existed. Design quality between handoff and deployment was everyone's responsibility — which meant it was no one's.

Problem
Design quality was everyone's responsibility.
Which meant it was no one's.

I diagnosed five root causes across R1 and R2: no defined scope at kickoff, unclear stakeholder ownership, no shared defect language, no canonical Figma source of truth, and one person doing five jobs simultaneously.

Each cause had a concrete effect. Each effect had a fix I designed, documented, and got adopted.

What I Built
A six-phase UXT process — two full phases before a single screen is touched.

Phase 1: UXT Kickoff — lock scope, timelines, and source of truth. Phase 2: Align with POCs — map all 36 capabilities releasing in R3 to named owners, take knowledge transfer. Only then: screen analysis, defect logging, Jira tickets, QA-ready sign-off.

I also authored a five-category defect taxonomy — design fidelity, design system compliance, UX copy, accessibility, responsive behavior. It gave the scrum master a shared language to triage and route every ticket without debate.

Across Three Releases
Discovery → Consequence → Maturity

R1 (Discovery): Built the checklist from scratch. Logged 22 defects, none shipped. Ran the retro that surfaced the five gaps.

R2 (Consequence): Scope confusion meant wrong modules got tested. Built the kickoff doc mid-release in response. Introduced the defect taxonomy.

R3 (Maturity): Kickoff doc became standard practice. Ticket creation delegated. The process now outlasts any one person.

The Tradeoff
Making the cost of not fixing visible — not just the defect itself.

When a PM said "we don't have time," the taxonomy let me answer: this isn't a design preference, it's a product-quality standard. Functionality always ships first, so visual defects are structural, not incidental — which is exactly why the role exists.

If I had more time on the project —
NEXT STEPS ↘
Expand the taxonomy documentation
Package the five-category system as a transferable artifact that teams can adopt without needing me to explain it from scratch each release
Track defect patterns over time
Build a lightweight dashboard showing which categories recur most — turning individual releases into a learning system for the whole team

If you want to know the details of this project or my availability – get in touch!

I can be easily reached at your convenience via LinkedIn or email.

FIS 360 Navigator

Vantage 360 Navigator

A secure, access-controlled platform giving each persona streamlined, personalised access to firm-wide FP&A reporting — one intelligent hub for every metric deployed to date.

Role
Product Designer, Design Strategist
Client
FIS
Credits
Accenture Song
Domain
FP&A · Enterprise Finance
Evolution
Power BI → Agentic AI
Year
2025

If you'd like to learn more, please get in touch.

01
Context

FIS is a global fintech across four segments — Banking Solutions, Capital Markets, CIO Organisation and Corporate — each with its own finance team, P&L and reporting rhythm.

In 2025 their reporting lived in a fragmented Power BI landscape: dashboards spread across locations, teams losing time hunting for the right report, the same views served to everyone regardless of need, and heavy dependence on FP&A just to get access.

The organisation needed a more intelligent solution — a way to translate those Power BI reports into agentic AI dashboards tailored to each market.

From opportunity to solution
OpportunitySolution
Fragmented reporting spread across many locations
Centralised into one enterprise hub
Time-consuming search for the right report or KPI
Clear visibility to the key financial KPIs
One view for everyone, regardless of need
Personas for secure, role-based access
Low self-service; heavy dependence on FP&A
A self-service navigator on Power BI + Fabric
02
Impact

The navigator centralised a fragmented reporting landscape into a single, persona-aware hub — with measurable business outcomes.

Business outcomes
01
Experience
One reporting hub for every Power BI dashboard, self-service.
02
Reduced time
Faster report discovery — less time hunting for information.
03
Enhanced controls
Reliable data quality; the whole process is automated.
04
Persona reporting
Insights personalised to each user's role and access.
05
Productivity
Faster decisions via KPI drill-downs and driver analysis.
03
Who Uses It

Three people, three relationships with the same data. Each opens the same navigator but uses it differently — different depth, frequency and questions.

Executive / CFO
Executive / CFO
Before
Waited for a 40-slide deck the night before a board call — and got stuck the moment someone asked a question it didn't cover.
After
Opens the dashboard, reads the top two things that changed, and asks one plain-English question. Answer in seconds.
DashboardKPI cardsTop anomalyAI chatAnswer
Finance Business Partner
Finance Business Partner
Before
Spent the first 90 minutes every morning copying numbers into Excel before the real work could even start.
After
Opens to a briefing that's already done — the tool shows what changed and why, so she starts with thinking, not prep.
DashboardAnomalyReportBig SheetsAI chatMonthly close
Business Unit Finance Lead
Business Unit Finance Lead
Before
Had to email finance and wait for a report he couldn't dig into himself.
After
Checks his own numbers in under two minutes — no waiting, no middleman.
DashboardReportAgent cardDone
04
The Agents

The architectural shift: the AI runs on a schedule, not on demand. Four agents run every night after the ERP batch closes, so by 9am the analysis is already done. That's the difference between a dashboard with a chatbot and an agentic product — a chatbot waits to be asked; these agents do the work first.

Anomaly agent
Runs nightly · 3am
Checks every number against plan and forecast overnight, and flags only what actually moved.
Variance agent
When you ask
Explains what drove any gap — a region, a product or a team.
Freshness agent
Always on
Watches NetSuite, Workday and Salesforce, and warns when a number is stale.
Commentary agent
At month-end
Drafts the month-end commentary for you to edit and sign off.
05
The Screens

A walkthrough of the product — from launch, into the morning dashboard, and down into a persona's drill-down.

Product overview
One finance command centre — real-time metrics, AI-surfaced anomalies and forecasting in a single 360° view, so the morning's analysis is done before you sit down.
Vantage dashboard — Good morning, James
The morning dashboard. Five live KPIs, a ranked "needs attention" feed and a data-freshness check — the whole morning read in one glance, with Ask-Vantage on top for plain-English questions.
Vantage — persona drill-down with agent root cause
Persona drill-down with agent root-cause. Open any metric for actual-vs-plan, segment and regional variance — shown here as the CIO's cost-centre lens — with the agent's root cause, confidence and source alongside.
Metric reports
Revenue, OpEx, CapEx, Headcount, EBITDA — one screen each. Actual-vs-plan, an agent insight card (root cause + evidence + one action), and the forecast tab lives here.
Big Sheets
Dense hierarchical variance table. Agent flags on material rows, a cell-hover panel that explains any number, and a chat bound to the active filters.
Forecasting
A model-health screen, not a forecast viewer — accuracy, directional bias in plain English, macro driver weights, and a what-if panel that reruns the model.
CIO screen
Tailored to a cost-centre with no Revenue or EBITDA — CapEx, OpEx and Headcount, with platform variance by infra, cloud, and engineering.
Landing dashboard
Five KPIs, the ranked anomaly feed, a data-freshness panel, and chat with context already loaded — the whole morning read in one place.
Monthly close · in progress
The commentary editor — agent's overnight draft on the left, the analyst's editable version on the right. Submit locks it.
06
Feedback
"The navigator is a game changer, and your contributions are pivotal in showcasing UX innovation at its finest form. There are no two doubts about this."
Senior Manager · Accenture Operations
"Very good work done, and the kind of attention to detail is what I like about Anoushka. She has a very good understanding of the ask and goes out of the way to look at things comprehensively. Very diligent in her work and able to delight the customers with the ask. Was able to seamlessly adjust to the pressure and deliver high quality. A wonderful asset to have in the team!"
Transformation Leadership · Accenture Operations
07
Reflections
TAKEAWAYS
Where to actually add the AI
The first build had a separate "AI Agents" tab that no one used — by the time you got there you'd left the data you wanted to ask about. The AI belongs inside the table, the chart and the chat: a layer on everything, not a place to visit.
Understanding the context comes first
This business segment was new to me and genuinely hard to understand. The time spent learning how each finance team actually worked shaped every design decision that followed.
Don't take anything at face value
Assumptions about what users "obviously" needed rarely survived contact with them. Every number, request and requirement was worth questioning before designing around it.

If you want to know the details of this project or my availability – get in touch!

I can be easily reached at your convenience via LinkedIn or email.

Carma

A shipped B2B SaaS climate-risk platform — the insurer's toolkit for scalable agricultural insurance that de-risks smallholder farmers. Designed end-to-end as the MVP at Studio Carbon for Dutch agri-fintech Agtuall, in partnership with the Syngenta Foundation.

Role
Product Designer
Type
B2B SaaS · shipped
Year
2024
Client
Agtuall
Partner
Syngenta Foundation
Studio
Studio Carbon

Shipped & live — agtuall.com/carma.

01
The Hook

The final experience brought together the core workflows for exploring climate data, analysing datasets, and monitoring insurance products. The product was designed, tested, refined, and ultimately shipped.

"Climate has been a guessing game for us all — but for farmers, it's like playing roulette with their livelihood."

Earth's temperature has risen roughly 0.06°C per decade since 1850 (NOAA). For smallholder farmers across East Africa and Bangladesh, a bad season isn't a data point — it's the line between getting by and going under.

Insurance should be that safety net. But pricing crop risk at this scale has been slow, manual, and starved of trustworthy data — so the farmers who need cover most are the hardest to insure.

02
The Solution Layer

Agtuall's vision is refreshingly human: de-risk smallholder farmers. It does that by giving insurers the data and tooling to build parametric insurance products profitably — even for farmers once considered uninsurable.

Carma is the platform underneath. It unifies weather, earth-observation and climate datasets into a single repository with analytics on top, so an insurer can move from raw climate data to a priced, monitored product without months of manual wrangling.

01
Explore
Search climate datasets by geography and visualise trends on a map.
02
Analyse
Assess dataset quality and compare indices to shortlist the right data.
03
Price
Design the insurance product on the data an actuary trusts.
04
Monitor
Track live product & policy performance and re-check triggers.
03
Product Architecture

My biggest contribution was shaping the platform's backbone. We defined a five-level product architecture — Products → Modules → Sub-modules → Features → Flows — for what the team called the "Agtuall Engine."

The MVP centred on the Climate Data Library (Explore, Analytics, Inspect) plus Monitoring, with Pricing scoped for a later phase. Because Agtuall was a nascent startup still discovering its own product, architecting this took about two weeks and 5–6 rounds of close collaboration — design team and client figuring it out together.

Agtuall Engine — 5-level architecture map
04
User Stories & Epics

The Agtuall team handed over epics and user stories; turning them into a coherent information architecture was the design job. Read closely, they told us why we were building, what, and the value each feature created.

Every story carried acceptance criteria that fed the product and information architecture directly — an actuary selecting a geography and up to four datasets to visualise trends, or evaluating dataset quality and consistency before committing to a product. Initiatives broke into epics, epics into stories, stories into the modules users actually navigate.

Initiative → Epic → Story mapping
05
Usability Testing

Before handoff, we ran moderated, think-aloud testing on the Climate Data Library with five actuaries — seasoned users the client connected us with, plus beginners — observing behaviour across real tasks like exploring rainfall data and comparing datasets.

Three findings shaped the redesign:

Information scent was thin
Users wanted clearer cues about what each module did before diving in — addressed with a clearer navigation rail and tab menu.
Comparing datasets was painful
Comparing the first and last dataset down a long scroll broke the task — the comparison pattern was reworked so datasets sit side by side.
"Interrelation" wasn't understood
The tab's mental model didn't land; its labelling and flow were revised so correlating two variables reads naturally.
06
Who Was Involved

A genuinely multi-party project — a startup, a foundation, a design studio, and the actuaries who'd live in the product every day.

Agtuall
Dutch agri-fintech (client) on a mission to de-risk smallholder farmers.
Syngenta Foundation
Partner co-investing in the platform's development and reach.
Studio Carbon
The design studio where I led product design on the MVP.

The users: financial institutions and their actuaries, data scientists and sales teams — the people pricing and selling insurance to farmers.

Curious about the full thesis, the architecture work, or the shipped product?

I can be easily reached at your convenience via LinkedIn or email.

Unilever UX Audit

Unilever App · UX Audit

End-to-end UX audit of a retail FMCG mobile app in Vietnam's fast-growing e-commerce market — benchmarked against three regional competitors to surface experience gaps and give stakeholders a clear, prioritised path to improve the product.

Scope
UX Audit for a B2B app
Role
Lead Designer
Owner
Accenture Song
Client
Unilever
Year
2025
Industry
FMCG retail

If you'd like to learn more, please get in touch.

01
The Brief
"How might we help Unilever compete with regional apps by removing the friction that stops retailers and sales reps from finding, buying, and reordering quickly?"

Unilever was scaling their app in Vietnam — a market with strong local competitors and established e-commerce habits. Before committing to a redesign, they needed an honest picture of where the app stood.

I was part of the team brought in to find what wasn't working and make sure every finding was backed by evidence, not opinion.

02
Approach

Built an audit framework across eight UX foundations — from information architecture to business alignment — giving every finding a clear business rationale, not just a design opinion.

Then benchmarked DDT across six core screens against three market competitors, covering over 100 screens across two user journeys.

View the full audit framework

01
Set the framework
4 lenses: usability, visual, experience, interaction
02
Pick benchmarks
BEES, Makropro & Big C as comparators
03
Audit screen by screen
6 types, 2 personas, 100+ screens
04
Align the team
Shared criteria, consistent findings
03
What I Built

A screen-by-screen audit mapping every problem to a competitive benchmark and a concrete recommendation — six core screens across both user journeys.

Homepage
Promotions dominate the first fold, burying product discovery.
Add category listings above the fold to reduce clicks to purchase.
Homepage — promotions dominate the first fold
Search
SKU-driven, with no room for exploration or brand discovery.
Introduce predictive search with trending brands and popular categories.
Search — SKU-driven, no exploration
Categories
Generic icons, no subcategories — browsing feels flat.
Replace with real product thumbnails and add subcategory depth.
GIF coming
PLP
Cramped layout, touch targets too small for mobile.
2-column grid, prominent filters, sorting options surfaced upfront.
PLP — cramped layout, small touch targets
PDP
Critical purchase info buried below the fold.
Surface final price, order limits, and promotions above the fold.
GIF coming
Cart
Promotions not tied visually to the final amount.
Connect savings directly to the total to make value visible.
GIF coming
04
Impact

All six recommendations were accepted and implemented by the client. Because every finding traced back to competitive evidence and the audit framework's business-impact rationale, there was nothing to argue against.

Impact
How stakeholders responded
01
All 6 screens on the roadmap
Every screen type had recommendations picked up and prioritised for development.
02
Evidence beat opinion
Benchmarking against 3 competitors turned our findings into something stakeholders trusted and acted on.
03
Audit framework POC
The audit methodology I built became a repeatable process used beyond this project.
05
What I'd Change
Content coming — reflections on what I'd do differently next time.
06
Feedback
"Hey Anoushka, it was a pleasure collaborating together; you brought a thoughtful and structured approach to strategy, and your evaluation and articulation helped anchor many of the conversations in a clear direction. I especially appreciated your attention to detail — it showed in the way you reviewed experiences, captured nuances, and ensured the work stayed thorough and consistent. You were receptive to feedback, stayed proactive in discussions, and maintained a steady focus on moving the project forward, which made the collaboration smooth and dependable."
Project Team Member · Accenture Song

If you want to know the details of this project or my availability – get in touch!

I can be easily reached at your convenience via LinkedIn or email.