03
Eli Lilly · Global Obesity

Digital Experience Design & Strategy

Designing a global UX framework that scales across markets — respecting cultural, regulatory, and health literacy differences while maintaining experience design consistency.

Experience Design Global UX Competitive Intelligence Obesity Scalable Platform Multi-market Regulatory
Eli Lilly · KSA · UAE · Germany · Japan
Four markets.
One architecture.
No per-market rebuild.
Global IA · AI-augmented CI · Stigma-reduction UX
Challenge
Problem reframe
UX approach
Decision log
Research → insight
Deliverables
Hindsight
The challenge

Lilly was advancing obesity initiatives across markets with substantively different regulatory environments, cultural perceptions, access models, and health literacy levels. A rigid global UX experience risked cultural missteps and local regulatory failure. Fully bespoke local experience design would create fragmentation and unsustainable maintenance overhead.

The experience design brief was built around a named patient persona — Andrea — with a documented emotional profile: frustrated, stuck, cycling through the same failed attempts, carrying both external and internal stigma, worried about her future health. Her experience was the design constraint. Everything from the homepage module sequence to the quiz learning prompt architecture was calibrated to resolve the specific emotional barriers Andrea carried before asking her to take any clinical action.

Obesity care is deeply sensitive — patients navigate stigma, self-blame, complex treatment histories, and often years of failed interventions. The UX had to address this emotional reality across cultures where the stigma manifests differently and the medical framing of obesity varies significantly. This was also Phase 1 of a broader Lilly obesity campaign infrastructure, with a parallel animated brand campaign in production (PSYOP/Tank Worldwide) going through MLR review simultaneously.

My role: I led global UX strategy and experience design — defining the IA, content hierarchy, and UX framework that coordinates across markets. I owned the global-to-local experience design logic and the dependency workflows between Lilly regional delivery teams.

Working across teams

Led agency-side, coordinating across UX, strategy, and global delivery before aligning with Lilly's global platform owners and four regional teams. Global principles had to be locked before regional teams could move. Governance logic was agreed across both organizations upfront — local adaptation proceeded without escalation.

From brief to reframed problem

A global platform request concealed two distinct structural problems that needed to be solved sequentially.

Client brief

"Design a global obesity platform that can be adapted for each market — KSA, UAE, Germany, Japan — while maintaining brand and regulatory consistency."

Reframed UX problem

The brief frames this as an adaptation problem. It's actually two problems: first, identify which UX elements are structurally non-negotiable globally and which are genuinely flex zones — and that distinction hasn't been made yet. Second, obesity is one of the most stigma-loaded health conditions globally, and the UX must address the emotional reality of a patient who likely carries years of failed interventions and self-blame before it can make any clinical ask. The platform design challenge is global architecture plus stigma-aware emotional sequencing, not localization of a standard pharma UX template.

This reframe produced the global/flex zone architecture — defining non-negotiables centrally while building structured local adaptation into specific modules — and drove the stigma-reduction UX sequencing that opened the homepage experience.

Transferable to

Global wellness platforms & stigma-adjacent health conditions. The global constants / local flex zones architecture applies to any health platform scaling across markets where a condition carries cultural stigma. The stigma-reduction sequencing transfers directly to weight management, mental health, addiction support, and any condition where self-blame is a barrier to engaging with clinical content.

UX approach

I approached this as a global UX architecture problem with local experience design sensitivity requirements — defining first where structural consistency was non-negotiable, and identifying where local design variation was required. The IA and UX principles that had to hold across all markets were established centrally; specific flex zones where local teams needed full adaptive experience design control were explicitly named and designed for adaptation.

AI-assisted research and competitive analysis helped surface UX patterns and regional content gaps at scale across four markets. The Quiz Module was the highest-complexity local flex zone — a five-screen interactive questionnaire generating a personalized discussion guide, with significant variation requirements across markets.

Key design decisions
Decision point Alternatives considered What we chose & why
Global architecture — template-based vs. principle-based
Single global template with market-specific content swaps. Lowest technical overhead; clean review trail.
Principle-based architecture with defined global constants and explicit flex zones. A template model would have forced UX compromises that created cultural missteps in markets with significantly different stigma contexts.
Homepage opening — condition-first vs. stigma-reduction first
Lead with obesity as a medical condition — biological framing, treatment overview. Standard pharma DTC opening model.
Stigma-reduction first — four modules validating patient experience before biological framing. Self-blame is a primary barrier to engaging with medical content. MLR approved it as clinical barrier reduction.
Quiz interaction model — passive questionnaire vs. embedded learning prompts
Standard questionnaire: collect answers, generate discussion guide at the end. Simpler to build and review. No interruptions to the answer flow.
Learning prompts embedded mid-flow at key recognition moments. After a patient selects "I continued to be hungry" or "I didn't feel full, so I had a hard time maintaining my diet," a prompt immediately reframes it as biological resistance rather than personal failure. Clinical reframing delivered at the moment of patient recognition — not after the fact in a downloaded PDF — was the highest-value UX move in the quiz architecture.
Research → insight → recommendation
Research input
UX/SEO audit of 5 named competitors + per-market search behavior analysis

Full UX and SEO audit of branded platforms (Wegovy.com, Qsymia.com, MyAlli.com) and Novo Nordisk's unbranded obesity platforms (ItsBiggerThan.com, TruthAboutWeight.global). Audit structured around Andrea's five content pillars: Empathize & Validate Patient Experience / Obesity Not Patient's Fault / Improve Health with Weight Loss / Tangible Solution — Address Biological Cause / Encouragement to Speak with HCP. Per-market search behavior analysis mapping colloquial vs. medical terminology in KSA (السمنة vs البدانة), Germany (Adipositas vs. Fettleibigkeit, 40K searches/month), and Japan (肥満, with notable stigmatizing language in search queries).

Key insight
Neither Novo Nordisk property addressed all five content pillars — and their approaches were mutually exclusive

ItsBiggerThan.com (emotional/community) addressed empathy and health stakes but missed biological causation and HCP pathway. TruthAboutWeight.global (practical/scientific) addressed "not your fault" framing and biological cause but was weak on emotional validation and HCP conversion. Wegovy.com had 84% bounce rate despite 970K monthly visits — high traffic, low engagement. No competitor balanced all five pillars. Stigma was universal across all four markets, but manifested differently: social shame in Japan (searches included stigmatizing language), religious self-judgment in KSA/UAE, personal discipline failure framing in Germany.

UX recommendation
Own all five pillars simultaneously — emotional-to-practical bridge as the white space

Novo Nordisk owned the emotional stigma narrative. The white space was a platform that combined emotional validation with a practical action pathway — empathy first, biological framing second, treatment options third, social proof fourth, HCP conversation fifth. Four stigma-reduction modules as global constants. BMI calculator as a high-engagement SEO tool (TruthAboutWeight's 5.15 pages/visit came primarily from BMI search traffic). Market-specific terminology in flex zones.

Transferable to

Global wellness platforms & stigma-adjacent health conditions. The global constants / local flex zones architecture applies to any health platform scaling across markets where a condition carries cultural stigma. The stigma-reduction sequencing transfers directly to weight management, mental health, addiction support, and any condition where self-blame is a barrier to engaging with clinical content.

Figure 01 · DeliverableGlobal IA — site map framework
Section Content modules Count
0.0 Home It's time for a real change · It's not your fault · Obesity impacts life · Break free from the burden 4 modules
1.0 Understanding Obesity What is obesity? · What makes weight loss so difficult? 2 modules
2.0 Weight Management Options Lifestyle changes · Anti-obesity medications · Surgery · Where are you on your journey? 4 modules
3.0 Weight Loss Journeys Stories and experiences · Expert advice 2 modules
4.0 Talk to Your Doctor Have a different conversation with your doctor · Get your discussion guide 2 modules
+ 6 footer utility pages — Home, Privacy Policy, Terms of Use, Contact, 404 Error, 500 Error
4
Core sections
12
Content modules
Global
IA framework — adaptable across KSA, UAE, Germany, Japan

Global UX information architecture — site map framework defining the page hierarchy, content groupings, and experience design principles that had to remain consistent across all markets. The homepage anchored the experience with four stigma-reduction UX content modules before routing patients into four distinct experience pathways.

The site map established which UX elements were non-negotiable globally, giving regional teams a clear brief rather than an open brief — reducing late-stage drift across all four markets.

Framework A · UX Methodology Stigma-Reduction UX Framework

Four homepage modules forming the global constant zone — behaviorally sequenced to resolve shame, attribution, stakes, and agency before any clinical content is surfaced. Select a module to expand the design rationale.

Module 1
Activation
"It's time for a real change"
Names urgency without blame — opens the frame
Module 2
Attribution shift
"It's not your fault"
Transfers causal responsibility from patient to biology
Module 3
Stakes elevation
"Obesity impacts life"
Reframes weight as a health condition with systemic consequences
Module 4
Agency return
"Break free from the burden"
Hands control back to patient — primes action readiness
Module 1 · Activation — "It's time for a real change"
Behavioral function

Creates an opening without assigning blame. The patient must feel addressed, not judged, before any information has value.

Why it's a global constant

The emotional barrier it resolves — shame-avoidance — is culturally invariant. Localising this module risks softening the activation signal.

Gate to next module

Patient has accepted the premise that change is possible. Attribution of cause is still unresolved — must be addressed next.

Global constant Emotional barrier: shame Mechanism: urgency framing

Sequence constraint: modules must appear in this order across all market builds. Each resolves one emotional barrier before the next is surfaced. Reordering collapses the behavioral arc. Flex zones begin at section two of the site IA.

Framework B · UX Methodology Progressive Disclosure IA Framework

Five-section readiness ladder — each section has a gate condition that must be met before the next section's content has behavioral value. Select a section to expand content logic and global/flex designation.

Homepage
Stigma resolved, biology framed
Understanding obesity
Condition understood, not feared
Weight management options
Treatment landscape mapped, HCP role clear
Weight loss journeys
Social proof established, hesitation addressed
Talk to your doctor

Homepage — emotional foundation

Permission for the patient to engage with the subject at all. Shame and self-blame are resolved before any clinical information is presented.

The four stigma-reduction modules in fixed sequence. CTA is soft — discovery, not conversion. No clinical content until the module arc completes.

Global constantModule sequence fixedSoft CTA only

Understanding obesity — condition education

Clinical understanding of obesity as a chronic disease. Patient must accept the medical framing before treatment options carry credibility.

Global core: biology, comorbidities, systemic impact. Flex: specific comorbidity emphasis may be localised to market-prevalent conditions.

Core: global constantFlex: comorbidity emphasis

Weight management options — treatment landscape

Patient sees treatment as a legitimate, multi-modal space. HCP guidance is positioned as necessary context, not gatekeeping.

Global core: treatment categories and the role of medical management. Heavy flex: specific options, regulatory references, and reimbursement context vary by market.

Core: treatment framingFlex: options & regulatory refsFlex: reimbursement context

Weight loss journeys — social proof layer

Patient confidence that people like them have navigated this. Social proof functions as risk-reduction — lowers perceived barrier to initiating an HCP conversation.

High flex zone. Patient stories reflect market demographics and locally prevalent emotional barriers. Voice and tone flex permitted.

Core: social proof functionFlex: persona, voice & toneFlex: story selection

Talk to your doctor — action conversion

Concrete action. Patient arrives having resolved shame, accepted the condition, mapped options, and seen social proof. The CTA is now a low-friction next step, not a leap.

Core: HCP conversation framing and preparation tools. Flex: HCP-finding tools, system entry points, and CTA phrasing vary by market access model.

Core: conversation framingFlex: HCP-find toolsFlex: CTA phrasing
Global constant — no localisation
Flex zone — market-level adaptation permitted
Gate condition — must be met to preserve journey integrity
Figure 02 · Wireframe · Pre-production_Wireframes_Mobile_R10
Mobile Wireframes R10 — six-artboard spread showing full five-section patient journey

Mobile wireframes R10 — six-artboard mid-fidelity spread showing the complete five-section patient journey at 375px. Sections in sequence: Homepage (stigma-reduction module stack), Navigation, Understanding Obesity (condition education and BMI calculator), Weight Management Options, Quiz Module (personalized discussion guide generator), Weight Loss Journeys, and Talk to Your Doctor. The Quiz Module artboard documents functional logic across 9 questions with embedded learning prompts — clinical reframing delivered mid-flow at the moment a patient selects answers that signal biological resistance (e.g., "I continued to be hungry," "I didn't feel full") rather than deferred to the end of the questionnaire. The personalized output is downloadable as a PDF discussion guide for HCP conversations. All copy shown as lorem placeholder; structural hierarchy, interaction design, and UX sequencing are the deliverable. Pre-MLR working copy.

Seven validated mobile layouts gave regional teams reference implementations to adapt, not blank canvases — cutting per-market design time without sacrificing local precision.

Figure 03 · Design DeliverableBiological Resistance Cycle — 4 design iterations
Biological Resistance Visual Iterations
Iteration A
Circular arc
Biological Resistance at centre. Three drivers orbiting: Increased Hunger, Change in Metabolism, Not Feeling Full.
Iteration B
Free-form flow line
Lose a few pounds → hunger/metabolism/fullness drivers → gain the weight back. Emphasizes the recurring cycle as a journey, not a diagram.
Iteration C1
Bubble cluster
Colour-coded bubbles (Nebula/Jade/Cherry Pink) clustered at the biological resistance trigger point. Most visually approachable for health-literacy-varied audiences.
Iteration C2
Full integrated
Arc path + bubble cluster combined. Shows both the cycle progression and the simultaneous biological drivers as overlapping forces.
Four iterations developed before final selection · Biological Resistance Visuals A / B / C1 / C2

Biological resistance cycle visualization — four design iterations (A, B, C1, C2) developed to make the self-reinforcing mechanism of obesity legible to Andrea without clinical language. The final format illustrates the cycle: lose a few pounds → increased hunger + change in metabolism + not feeling full → gain the weight back. MLR-viable because it shows mechanism without making a treatment claim. The design challenge was representing three simultaneous biological drivers (hunger, metabolism, satiety) acting on a single repeated outcome — a structural problem that required four rounds of design exploration to resolve cleanly across both desktop and mobile viewports.

MLR-approved global platform demonstrating that the stigma-reduction sequencing held across regulatory environments — used as the architecture proof for regional team briefings.

Figure 04 · DeliverableGlobal-to-local content architecture audit
Dimension KSA UAE GER JPN Architecture class
Stigma reduction framing GAPADAPTADAPTGAP Market-level adaptation required
Regulatory language LOCALLOCALLOCALLOCAL Fully local — SFDA, MOH, BfArM, PMDA variation
Disease perception framing ADAPTADAPTADAPTGAP Fully adaptive — Japan regulatory constraints limit scope
Access model clarity GAPLOCALFIXEDLOCAL Fully local + gap — KSA access model undefined
Health literacy calibration GAPADAPTFIXEDGAP Global standard + local gap — needs validation
Global IA structural consistency FIXEDFIXEDFIXEDFIXED Globally fixed — foundation of global maintenance model
Primary audit finding
Novo Nordisk's unbranded communications lean emotional/relatability — empathetic but solution-oriented. KSA and Japan naturally practical; Germany and UAE require emotional relatability as the entry point before practical solutions land.
Global
IA framework
4
Markets audited
7
Gap items
MLR ✓
Platform delivered

Global-to-local content architecture audit — competitive analysis benchmarking Novo Nordisk's content architecture across the emotional/practical axis in all four markets, classifying each dimension as globally fixed, locally adaptive, or a gap requiring local input before deployment.

Figure 05 · MLR-approved artifact
Produced Global Experience Design

MLR submission artifacts — fully produced global obesity platform, with visual design carrying the stigma-reduction strategy as much as the copy does: a warm, editorial palette and full-bleed patient photography replacing the clinical iconography typical of the category. Homepage experience design opened with direct stigma-reduction framing ("The body can resist weight loss") before moving into the biological resistance UX flow. The Understanding Obesity page led with disease definition before introducing biological complexity through a carefully sequenced experience design hierarchy. The BMI calculator — surfaced as a high-engagement SEO tool based on competitive analysis showing TruthAboutWeight.global's 5.15 pages/visit driven by BMI search traffic — was embedded in the Understanding Obesity section.

Role
Global UX strategy and experience design lead
Deliverables
UX/SEO competitive audit (5 competitors), global IA, site map, mobile wireframes (R10), biological resistance visual (4 iterations), quiz module with learning prompt architecture, UX layouts, MLR-approved platform
Regulatory context
MLR · multi-market regulatory (KSA, UAE, Germany, Japan)
Industry
Pharmaceuticals · Global health · Unbranded DTC
If I ran this again

The global/flex zone architecture scaled well. Two things I'd sharpen: first, build a governance decision tree for local teams — a simple tool that tells them whether they're in a flex zone or a global constant before they start adapting, rather than catching drift in late-stage review. Second, use the AI research layer for cultural-sensitivity analysis earlier in the process. We applied it primarily to competitive pattern analysis; pointing it at regional patient voice content and health literacy signals during the research phase would have made the local flex zone design substantially more precise.