Eli Lilly Sales

To accelerate discovery, development, and delivery of innovative medicines that address critical healthcare needs, transforming treatment paradigms by 2030

Organization	SWOT Analysis	OKR Plan	Top 6	Retrospective

Sub organizations:

No competitors available

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To accelerate discovery, development, and delivery of innovative medicines that address critical healthcare needs, transforming treatment paradigms by 2030

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Strengths

PORTFOLIO: Strong diabetes/obesity portfolio led by Mounjaro/Zepbound
PIPELINE: Robust late-stage pipeline across key therapeutic areas
INNOVATION: Industry-leading R&D capabilities with 28% reinvestment
FINANCIAL: Exceptional Q1 2023 with 26% revenue growth to $8.77B
BRANDING: Strong market position and trusted healthcare brand

Weaknesses

CAPACITY: Manufacturing constraints limiting Mounjaro/Zepbound supply
CONCENTRATION: High revenue dependence on diabetes/obesity drugs
PRICING: Vulnerability to drug pricing reforms and negotiations
DIGITAL: Underdeveloped digital health ecosystem integration
COMPETITION: Intense market competition in key therapeutic areas

Opportunities

EXPANSION: GLP-1 market projected to reach $100B+ by 2030
MARKETS: Significant growth potential in emerging markets
COLLABORATION: Strategic partnerships for digital health solutions
PERSONALIZATION: Precision medicine driven by AI/genomics
CHRONIC: Expanding treatment options for chronic disease mgmt

Threats

REGULATION: Increasing global pressure on drug pricing/patents
COMPETITION: Rising biosimilar competition for key products
ACCESS: Payer restrictions limiting patient access to medications
SUPPLY: Ongoing global supply chain disruptions impacting production
INNOVATION: Accelerating pace of therapeutic innovation by rivals

Key Priorities

SUPPLY: Scale manufacturing capacity for GLP-1 therapies
PORTFOLIO: Diversify revenue streams beyond diabetes/obesity
DIGITAL: Accelerate digital health integration across drug portfolio
PRICING: Develop value-based pricing strategies for key products

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No competitors available

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To accelerate discovery, development, and delivery of innovative medicines that address critical healthcare needs, transforming treatment paradigms by 2030

SUPPLY LEADERSHIP

Eliminate GLP-1 supply constraints to meet global demand

CAPACITY: Increase GLP-1 manufacturing capacity by 75% through expanded facilities and partnerships by Q4
AUTOMATION: Implement advanced automation in 3 manufacturing sites, improving efficiency by 30% and reducing costs by 15%
PARTNERS: Secure 2 additional contract manufacturing partnerships to diversify production capabilities
INVENTORY: Achieve 95% on-time, in-full delivery rates for Mounjaro and Zepbound across all markets

PORTFOLIO EXPANSION

Diversify revenue streams beyond current core products

PIPELINE: Advance 3 non-GLP-1 late-stage clinical candidates to regulatory submission
ACQUISITION: Complete strategic acquisition of one biotech with complementary therapeutic focus
LAUNCHES: Successfully launch 2 new products with combined first-year revenue of $500M+
BALANCE: Reduce revenue concentration from top 3 products from 65% to below 55%

DIGITAL TRANSFORMATION

Lead pharma in digital health integration and AI adoption

PLATFORM: Deploy unified AI platform connecting R&D through commercial, with 1000+ active users
COMPANIONS: Launch digital companions for 3 major products with 100,000+ patient users
ANALYTICS: Implement predictive analytics dashboard for commercial teams, improving forecasting accuracy by 30%
ENGAGEMENT: Increase digital channel HCP engagement by 40% across all therapeutic areas

VALUE PROPOSITION

Strengthen value-based approach to pricing and access

AGREEMENTS: Implement 5 new value-based contracts with major payers covering 30M+ lives
EVIDENCE: Generate and publish real-world evidence studies for 3 key products demonstrating economic value
ACCESS: Achieve 85%+ commercial formulary coverage for Mounjaro and Zepbound
AFFORDABILITY: Expand patient assistance programs to reach 50,000+ additional eligible patients

METRICS

Revenue Growth Rate: 22%
New Product Revenue: $3.5B
Market Share in Core Therapeutic Areas: 32%

VALUES

Integrity
Excellence
Patient-Centricity
Innovation
Collaboration

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Align the learnings

Team retrospectives are powerful alignment tools that help identify friction points, capture key learnings, and create actionable improvements. This structured reflection process drives continuous team growth and effectiveness.

Eli Lilly Sales Retrospective

AI-Powered Insights

Claude

Gemini

GPT

Example Data Sources

Q1 2023 revenue increased 26% to $8.77B, exceeding analyst estimates
Mounjaro (tirzepatide) sales reached $1.81B, with Zepbound launch exceeding expectations
R&D investment at 28% of revenue, significantly above industry average of 21%
Manufacturing capacity constraints limiting full sales potential of GLP-1 products
GLP-1 market projected to grow from $25B to $100B+ by 2030
Recent acquisition of DICE Therapeutics for $2.4B to strengthen immunology pipeline
Operating margin improved to 34.7%, up 320 basis points year-over-year

No competitors available

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To accelerate discovery, development, and delivery of innovative medicines that address critical healthcare needs, transforming treatment paradigms by 2030

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What Went Well

REVENUE: Q1 2023 revenue increased 26% to $8.77B, exceeding estimates
GROWTH: Mounjaro sales surged to $1.81B, up from $568M previous year
LAUNCHES: Successful launch of Zepbound for obesity with strong uptake
MARGINS: Gross margin improved to 80.7%, up 270 basis points YoY
PIPELINE: Multiple positive late-stage clinical trial readouts

Not So Well

SUPPLY: Continued supply constraints for GLP-1 products limiting sales
ONCOLOGY: Slower than expected growth in oncology portfolio sales
EXPENSES: SG&A expenses increased 21% to $2.04B, above projections
PATENTS: Key patent expirations approaching for established products
GLOBAL: Underperformance in certain international markets

Learnings

CAPACITY: Manufacturing capacity planning must anticipate demand surge
DIGITAL: Digital engagement critical for HCP and patient education
PAYERS: Earlier payer engagement essential for reimbursement success
DIVERSITY: Clinical trial diversity improves market access outcomes
FORECASTING: Conservative forecasting led to supply-demand imbalance

Action Items

MANUFACTURING: Accelerate capacity expansion for GLP-1 products
COMMERCIAL: Enhance omnichannel strategy for HCP and patient reach
PARTNERSHIPS: Secure additional contract manufacturing partnerships
DIGITAL: Implement digital companion apps for key product lines
ANALYTICS: Improve demand forecasting models with AI/ML capabilities

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No competitors available

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To accelerate discovery, development, and delivery of innovative medicines that address critical healthcare needs, transforming treatment paradigms by 2030

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Strengths

RESEARCH: AI-powered drug discovery platforms reducing time to market
DATA: Extensive proprietary clinical and real-world datasets
TALENT: Strong AI/ML talent acquisition in recent years
INVESTMENT: Significant financial commitment to AI initiatives
PARTNERSHIP: Strategic AI collaborations with tech companies

Weaknesses

INTEGRATION: Siloed AI initiatives across business units
LEGACY: Aging IT infrastructure limiting AI implementation
SCALE: Insufficient AI deployment at commercial scale
ANALYTICS: Underutilized predictive analytics for market insights
GOVERNANCE: Immature AI governance and ethical frameworks

Opportunities

DISCOVERY: AI to cut drug discovery time by 50% and costs by 30%
TRIALS: AI-optimized clinical trial design and patient recruitment
PERSONALIZATION: AI-driven precision medicine and diagnostics
MANUFACTURING: AI-enhanced production efficiency and quality
COMMERCIAL: AI-powered market analytics and customer targeting

Threats

COMPETITION: Tech companies entering healthcare/pharma space
REGULATION: Evolving AI regulatory landscape in healthcare
PRIVACY: Data security concerns limiting AI application scope
TALENT: Fierce competition for limited AI/ML talent pool
ADOPTION: Physician resistance to AI-driven clinical solutions

Key Priorities

PLATFORM: Develop unified AI platform across R&D to commercial
TRIALS: Implement AI-powered clinical trial optimization
ANALYTICS: Deploy predictive analytics for commercial excellence
TALENT: Expand AI/ML talent acquisition and development

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AI Disclosure

This report was created using the Alignment Method—our proprietary process for guiding AI to reveal how it interprets your business and industry. These insights are for informational purposes only and do not constitute financial, legal, tax, or investment advice.

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