Which project is at which stage?
Answering it meant opening tickets one by one or asking around. With 60–70 projects live, nobody held the full picture.
Where it started: 84.75% in Humanities.
Graduated with an O+ grade.
Campaigns and brand work for 150+ brands, including Netflix, Prime Video, Microsoft and LEGO.
Three awards in 2022: Excellence, Brilliance and Ascent.
Product and marketing design for a health insurance platform.
Enterprise learning and accessibility. Kingfisher Award 2025 for LUMA.
Structured problem-solving for real products, and colour and brushwork just for the joy of it. Step into either room.
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I've known Atika since childhood, and we also studied together, so I've had the rare opportunity to witness her creativity evolve over many years.
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Fast learner, adaptive, and a versatile artist.
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6+ years designing enterprise software and accessible products. AI enthusiast and lifelong learner: I'm always researching, testing new tools and picking up the next technical skill.
Product Designer with nearly 6 years of experience in UX/UI design, design systems, and user-centric digital products. Seeking opportunities in Visual Design, Product Design, and UI/UX Strategy & Experience Design to create scalable, accessible, and impactful user experiences that drive business growth and customer satisfaction.
“The best design is invisible. It simply works, for everyone.”
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Enterprise UX, design systems and accessible products. Each case study walks through the problem, the research and what shipped.
Internal product for Global Learning Content Services at Eli Lilly
One source of truth, five lenses: a team lead, a PM, a designer, a developer and a client each see exactly what they need, and nothing they don’t.
01 · Context
GLCS designs and builds e-learning for L&D partners across Lilly. At any moment, 60–70 courses move through a 14-step production workflow, from effort estimation and content curation, through Alpha, Beta and Gold reviews, to translation and accessibility testing. Each project draws on four hour pools (instructional design, media, QA and project management) and on people shared across many projects at once.
02 · The problem
Projects were tracked in Jira and supplemented by spreadsheets and a first-generation dashboard. The information existed, but it was scattered, expensive to keep, and shown the same way to every person regardless of what they needed to decide.
Answering it meant opening tickets one by one or asking around. With 60–70 projects live, nobody held the full picture.
Hours used against the ID, Media, QA and PM estimates lived in spreadsheets, so overruns surfaced after they happened.
Work was assigned from memory. Some people were stretched past capacity while others sat under-used, and revenue suffered.
Everyone saw everything, and nobody got what they needed. Designers waded through portfolio data; leads lacked roll-ups.
Expected projects from L&D partners weren’t visible, so resourcing was reactive instead of planned.
Partners had no way to check which phase their course was in, so status requests became a steady stream of messages.
Plus cost and control. ₹30–40 lakh a year in Jira licences, confidential project data on a vendor platform, and every workflow change waiting on vendor configuration.
03 · The old design
The first-generation GLCS Project Overview Dashboard sat next to Jira and the spreadsheets. It had six screens for project managers (team bandwidth, utilization, active and closed projects, the pipeline and an hours report) and four for team members, swapped with a prototype toggle. The data was there; the answers were spread across screens.
04 · Research
Six methods, one question: what does each role need to decide, and when?
18 sessions across team leads, PMs, instructional and media designers, developers, QA and L&D partners.
Mapped the 14-step production process, every hand-off and the questions asked at each gate.
Compared the features we paid for with the ones the team actually used, and the workarounds around the gaps.
Assessed the first dashboard against usability heuristics and WCAG 2.2 AA.
Jira, Smartsheet, monday.com and MS Project: how each handles capacity, budgets and client access.
12 participants grouped dashboard modules by what they need daily, weekly and never.
“Status” meant something different to every role.
Owns delivery and capacity
Runs a set of projects
Instructional or media
Build, fixes and testing
L&D partner, external to GLCS
05 · Design research
Alongside the interviews, we reviewed the first dashboard against usability heuristics and WCAG 2.2 AA, and looked at how Jira, Smartsheet, monday.com and MS Project handle capacity, budgets and client access. Every finding had to turn into a design decision.
| What we found in v1 | Why it mattered | Design decision |
|---|---|---|
| One layout for every role, swapped by a toggle | Each role asks a different first question | A home screen per role, chosen at sign-in |
| Status, people and hours on separate screens | Leads pieced the picture together from several places | Portfolio health, capacity and budget on one screen |
| Project details in cards that open one at a time | Projects you can’t see together, you can’t compare | A stage board that shows every project at once |
| Utilization as hours by phase, no thresholds | It never showed who is over-occupied and who is free | A per-person heatmap that flags both |
| Pipeline as a table of numbers | Demand was hard to read by quarter and requestor | A forecast of expected projects per quarter, per requestor |
| No view for clients | Partners emailed for every status update | A read-only client tracker |
Each home opens with one sentence that answers the role’s main question, such as “3 people are over-occupied and 5 projects are past 80% of budget.”
Show at-risk projects, add a project, log today’s hours, show blockers, message the project team.
Summary cards show the number and its change since last week, so movement is visible, not just totals.
A segmented bar shows how many projects sit in each stage; picking a stage filters the list.
Partners see their course’s stages, the milestones and when their review is needed, and nothing internal.
Every screen works in both themes, from the same set of tokens.
06 · Build vs buy
Jira is excellent for software teams. Our work is different: fixed review gates, hour pools per discipline, shared people and external clients. We compared what each option gives us on the questions that matter to GLCS.
| Criteria | Jira (Cloud) | GLCS Project Hub |
|---|---|---|
| Annual cost | ₹30–40 lakh in licences; billed per seat for every licensed user | No licence fees, part of a ₹1.2 Cr annual saving |
| Workflow fit | Generic issues and boards; GLCS steps rebuilt with custom fields and statuses | The 14 GLCS steps and Alpha / Beta / Gold gates are native |
| Hours budget by discipline | Time tracking and budgets via paid Marketplace add-ons | ID, Media, QA and PM pools with live burn and 80% early warnings |
| Resource utilization | Capacity planning sits in higher tiers or add-ons | Over-occupied vs available, per person, per week |
| Project pipeline | Roadmaps of known work, not incoming demand | Expected projects per quarter, per L&D requestor |
| Role-based views | Dashboards configured by hand, per user | The view changes automatically when the role changes |
| Client engagement | Needs licensed seats or a separate service desk | Read-only phase tracker for L&D partners |
| Data and confidentiality | Stored on the vendor’s cloud | Stored in LDR, connected to Lilly’s backend |
| Dependency | Pricing and roadmap set by the vendor; list prices rose again in 2026 | Owned in-house; no vendor in the loop |
Jira characteristics from Atlassian’s public 2026 Cloud plans and pricing. Cost figures are GLCS’s own.
07 · Approach & strategy
Instead of redesigning version 1 screen by screen, we started from the roles and the decisions each one makes, then rebuilt the screens around those decisions.
A single data model; the role decides the lens. No duplicate trackers, no copy-paste status.
The first screen answers the role’s main question before any click.
Show who is free before a project is assigned, not after someone is overbooked.
Data scope follows the role. Clients see their courses; nobody sees everything.
08 · Concept
One project model sits underneath everything. Each role looks at it through a lens that answers its own first question, and the lens is decided at sign-in.
09 · Information architecture
We mapped every module to the roles that need it. The result is a permission model and a navigation model in one.
| Module | Team lead | PM | Designer | Developer | Client |
|---|
All every project Own only the person’s projects or tasks Read view without editing — no access
10 · How it’s built
Confidential project and people data stays on Lilly infrastructure. The role from sign-in scopes every API response, so a view can’t show what a role isn’t allowed to see.
11 · Design
Everything a lead needs to decide before a stand-up, on one scroll: portfolio health, the stage pipeline, team utilization, budget burn and the demand forecast.
12 · Outcomes
The most valuable design decision was what each role does not see.
The role matrix became both navigation and access control: one artefact, two jobs.
Utilization only changes behaviour when it’s on screen before the assignment, not in a monthly report.
Owning the tool let us shape it to our 14-step workflow instead of bending the workflow to the tool.
Persona and mascot design for Global Learning Content Services at Eli Lilly
How a two-week avatar challenge became the identity of Lilly’s message-based learning experience, and a teammate learners recognise.
01 · The brief
In June 2025, GLCS leadership set the Media Design team a challenge: create a persona for Arist, a new message-based learning tool that would reach employees directly in Microsoft Teams. Each media designer partnered with an instructional designer.
The brief asked for an avatar. We set out to design the emotional layer of the product.
02 · The problem
Nudges and lessons arrive in the middle of someone’s working day, in the same app as their meetings and chats. Without a recognisable voice, they read like system notifications: easy to ignore, easy to resent.
People learn better when the experience feels human, not automated.
Without a persona, every course, nudge and reminder spoke with a different voice.
From frontline operators to office teams, people respond better to empathetic guidance under pressure.
The persona had to work as a 32 px avatar in a busy Teams chat list.
How can the personality of the learning experience itself represent Lilly?
03 · Research
We started with the learner’s context: someone opening Teams on a difficult day. What would make a learning message feel like a small moment of calm rather than one more demand?
Lilly brand guidelines and accessibility requirements framed the visual and language choices from day one.
Frontline operators, lab and office teams; onboarding through advanced training; busy shifts and limited attention.
Cognitive-load reduction, spaced learning, behavioural nudges and learner engagement.
A circular avatar, recognisable at about 32 × 32 px, with master artwork at 500 × 500 px or above.
Help People, Make Team Lilly Better, Deliver Results: how could a character carry them?
Five concepts reviewed; stakeholders shared the characteristics they wanted before we closed the design.
The persona had to earn attention, not demand it.
04 · Design concept
“Luma” comes from lumen, a unit of light. The concept: a guide who brings clarity, not just answers; reassurance, not just instructions.
Inclusive, clear and proactive.
Encourages learning with heart and humanity.
Keeps messages focused, relevant and action-ready.
05 · Visual design
I set the visual direction to make Luma feel like part of Lilly rather than a generic digital assistant: warm enough to smile at, professional enough for compliance training.
Built for the Teams avatar frame from the start.
Minimal detail that survives scaling down.
A signature red hoodie with the Lilly script.
Approachable without being overly casual.
Dark frames, warm hair and red read clearly at any size.
Recognisable as a chat avatar; crisp as master artwork.
Just a friendly reminder: your next module is ready whenever you are.
06 · Voice and conversation
With Diksha, we defined how Luma speaks: the quiet nudge before a busy shift, the encouraging note after a long day.
Calm+Clear+Supportive+Empathetic+Human
“One step at a time. You’ve got this.”
“REMINDER: Mandatory module incomplete. Complete immediately.” (illustrative)
07 · Accessibility and inclusion
Accessibility wasn’t a final check. It was written into the challenge and the persona definition.
Warmth without stereotype in visuals and language.
Clear figure-ground for visibility at every size.
Designed to work across roles and geographies.
Approachable while staying professional.
Clear, respectful and culturally aware.
08 · Where Luma shows up
Message-based microlearning in the flow of work.
As voice and avatar.
Reminders when procedures change.
Bridging classroom and e-learning.
A familiar face from day one.
Delivered through Teams and SMS, with automated reminders, the learner’s preferred language and, where applicable, course credit in SuccessFactors.
09 · Process
10 · Impact
Luma became two connected things: the name of Lilly’s branded learning platform, and the persona that gives it a recognisable voice.
Named as the designers who brought Luma to life in the launch announcement.
From 51 ratings on the Microsoft Teams app listing.
Luma appeared at the Global L&D Conference 2025; colleagues even dressed as her.
Intake guidelines, a content template and 2026 objectives to expand utilisation.
11 · After launch
Real learner feedback kept shaping the experience after launch: the most valuable lesson of the project.
Success isn’t sending more learning. It’s sending the right learning at the right moment.
12 · Reflection
Character creation and brand identity
Designing for stress and limited attention
Voice, tone and messaging patterns
Contrast, small-size legibility, inclusive language
Adobe Firefly in a directed creative process
Co-created with Diksha Roy
Concept, Alpha selection, refinement, Gold
An identity adopted across a global learning platform
I didn’t make a mascot. I co-designed the identity and experience of Lilly’s digital learning companion.
Self-initiated project on caregiver medication management
A mobile app for adults who manage doses and doctor visits for a parent, as well as their own. Designed and built as a working prototype.
01 · Why this project
I have spent most of my career designing healthcare and insurance products. Medication apps tend to assume a single person managing their own treatment. I wanted to design for the person they treat as an edge case: the adult son or daughter who keeps a parent’s medicines and appointments on track, usually from a distance and alongside a full working day.
A phone alarm cannot tell you if the dose was actually taken, by you or by your parent.
Ninety minutes late means working out where the next three doses move to, then editing three alarms.
Established apps put extra profiles, refill alerts or history behind a subscription.
People are wary of handing a parent’s health details to an app that demands an account first.
How might one person keep two people’s medication accurate, without accounts, arithmetic or a paywall?
02 · Approach
Without a client or a live product, I was strict about separating evidence from assumption. Everything below is labelled as one or the other.
03 · Research
The World Health Organization’s report puts adherence among patients with chronic disease at only half, and lower in developing countries. Source
Odds ratio from a meta-analysis of nine randomised trials. The authors urge caution: mostly self-report, small samples, 16 weeks of follow-up at most. Source
For Tend: eight of twelve chose 4 or 5. This is the strongest signal in the data and the reason snooze and dose shifting are core features.
For Tend: five of twelve chose the lowest score. The first button on the first screen starts the app with no account.
For Tend: the top four became the four things Tend does without an account. Booking is the reason to add one.
For Tend: core tracking cannot sit behind a paywall, which is where competitors put family profiles and refill alerts.
Survey data: published case study, n = 12 (source link to be added). Charts redrawn; interpretation is mine.
| App | Does well | Where it falls short for caregivers |
|---|---|---|
| Medisafe | Mature reminders, caregiver sharing through Medfriend, dependent profiles | Unlimited medications and unlimited Medfriend and dependent profiles sit behind Premium |
| MyTherapy | Free, no ads, no login. Alerts repeat until a dose is marked taken or skipped. Monthly report | A pharmacist review notes limited dosing detail for manual and as-needed medication |
| Dosecast | No registration. Flexible schedules, including intervals counted from the last dose | Profiles for several people or pets, dose history, refill alerts and sync are Pro features |
Sources: Medisafe help centre, Healthify NZ clinical review of MyTherapy (Nov 2024), Dosecast App Store listing. Checked November 2026.
The competitor is the alarm app. Tend has to win on what alarms cannot do.
04 · Baseline audit
I reviewed a published student concept for a medication companion app against Nielsen’s heuristics. It gave me a concrete baseline to improve on. Four findings shaped Tend.
| Finding in the baseline | Heuristic | Response in Tend |
|---|---|---|
| Home opens on an hourly grid that is mostly empty | Aesthetic and minimalist design | Today lists only what is scheduled, with the next dose as the largest element |
| A late dose cannot move the doses after it | Flexibility and efficiency | Taking a dose late offers to shift the rest of the day in one tap |
| Missed and skipped doses sit in a list with no action | Help users recover from errors | Needs attention resolves each one: I took it, or I skipped it |
| Status shown by small icons and colour only | Visibility of system status | Every status carries a text label as well as colour |
Baseline: the same published case study (title, author and link to be added).
05 · People
These are assumption-based proto-personas drawn from the desk research, the secondary data and the competitive gap. They are hypotheses, and I will revise them against my own survey and sessions.
Operations lead. Manages her own daily tablet and her father’s three medicines from across the city.
“Did he take the evening one, or did I just assume he did?”
Retired bank officer, Meera’s father. Routine-led, careful, not confident with new apps.
“Just tell me what to take now.”
| Stage | Doing | Thinking | Pain today | Opportunity |
|---|---|---|---|---|
| Set up | Adds herself, her father and his eye drops: four times a day for ten days | “I don’t want to make an account for this.” | Sign-up walls, one alarm per dose | Guest by default. One form creates the whole course |
| Reminder | Phone buzzes in a meeting | “Not now, but don’t let me forget.” | Dismissed alarms vanish | Snooze that comes back, with only three choices |
| Late dose | Calls her father at 14:10 for the 13:00 drops | “So when is the next one now?” | Mental arithmetic, editing alarms | Offer to move the remaining doses by the delay |
| Evening check | Opens the app once more | “Did everything happen?” | No record of what was taken | Progress for the day and a list of anything unresolved |
| Refill | Notices the strip is nearly empty | “I should have ordered on Monday.” | Finds out too late | Count stock down and warn days ahead |
06 · User flow
The baseline spread this scope over thirteen screens. Tend uses six, plus sheets. Month and day views are merged, the three editors became sheets, and notifications moved into the place where they can be acted on.
Rounded boxes are screens or sheets, diamonds are decisions. Back navigation is left out to keep the main paths readable.
The primary button on the first screen starts the app with no account. Sync and booking are the reasons to add one later.
The next dose is the biggest thing on screen. History and planning live one tab away.
Late, snoozed, skipped and missed are all normal states with a way forward. Every action can be undone.
Status is always written out. Main actions are at least 50 px tall, in light and dark.
07 · Sketches and wireframes
Quick lo-fi sketches of each screen from the flow. Two ideas did not survive: actions pinned to the bottom of Today, and an add form sharing the Care screen with its list.
08 · Key decisions
09 · Visual design
The first visual pass was calm and flat: stone neutrals, a deep green accent and serif numerals. The main action did not stand out. The final direction keeps the same layout and raises contrast and depth. Translucent cards sit over slow ambient colour, the next dose lives on a dark feature card, and lime is reserved for the single action that matters on each screen.
Soft cards on a tinted ground are the current norm in health and habit apps. They read as calm and make grouping obvious.
Taken into Tend: Glass cards layered over soft ambient colour, with a single accent.
Thumb-reachable and always visible. Floating action buttons that expand into menus hide the main tasks.
Taken into Tend: A floating pill bar where the active tab shows its label. Add buttons sit inside the screen they belong to.
A seven-day strip gives orientation without the cost of a full grid. Month views work best as a summary.
Taken into Tend: Week strip on Today, month with status dots on its own tab.
The clearest medication lists lead with the time, then the name, then a single control to mark it done.
Taken into Tend: Time in bold numerals, name and person, one tick. Status as a written label.
Good first screens say what the app does in a line and offer a single obvious next step.
Taken into Tend: A one-line promise and Start without an account as the main button.
Alarm-style screens work because nothing competes with the decision. Three options is the practical ceiling.
Taken into Tend: Time, medicine, person and exactly three buttons.
Ink #11140FIndigo #5A48E6Lime #D7F04AViolet #5E4FD0Orange #BF5B26Amber #7D5C00Red #C03636Sage grey #EEF0E8Midnight #0C0E2A17:00
Times and headings, set large with tight tracking. The time of a dose is the largest thing on any screen.
Take, Snooze
Labels, names and actions. Tabular figures wherever numbers line up.
10 · High-fidelity UI
Eight screens captured from the working prototype, with real state: a dose running late, a refill coming up and one missed dose waiting to be resolved.
Use the arrows, swipe or tap a side screen. Switch theme at the top right.
11 · Testing
Participants who manage medication for a family member. Moderated, 30 minutes, thinking aloud, screen recorded. Seven tasks, from starting without an account to taking a dose late and moving the rest of the day. Measures: completion, time on task, wrong turns and what people say unprompted.
Fifteen or more people who manage a family member’s medication. It replaces the secondary data and tests the riskiest assumptions: whether an offer to shift doses feels helpful or unsafe, and whether “no account” matters more than sharing from day one.
Findings and a before-and-after of the screen that changes most will be added here.
12 · Next
Larger type and only the Today screen, for someone like Raghav.
So Meera sees when her father marks a dose on his own phone.
Adherence for the last month, ready to show at an appointment.
The reminder was never the hard part. The record and the recovery are.
Brand, editorial and campaign work. Placeholders for now.
Paint, ink and pixels. Where I play with colour before it becomes a system. More at @artxtika.