Atlassian Sales
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
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Atlassian Sales
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
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Atlassian Sales
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
SWOT Analysis
OKR Plan
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
Strengths
- PRODUCT: Strong product portfolio with flagship Jira and Confluence
- CLOUD: Successful cloud migration, 95% of new customers on cloud
- ECOSYSTEM: Thriving marketplace with 5,000+ integrations
- BRAND: Strong brand recognition in dev/IT collaboration space
- RETENTION: High customer retention rate exceeding 95% annually
Weaknesses
- ENTERPRISE: Slow enterprise sales cycle vs competition
- AWARENESS: Limited awareness outside core dev/IT segments
- INTEGRATION: Product integration challenges across portfolio
- PRICING: Complex pricing structure confusing for new customers
- GTM: Insufficient enterprise-focused go-to-market resources
Opportunities
- AI: Integration of AI across product suite for workflow automation
- EXPANSION: Cross-sell opportunity into IT, HR and business teams
- REMOTE: Accelerated remote work adoption driving collaboration
- SECURITY: Growing demand for secure enterprise collaboration
- PARTNERS: Expanded channel partner program for market reach
Threats
- COMPETITION: Microsoft, Salesforce expanding in collaboration
- MARKET: Economic uncertainty impacting IT spending budgets
- CHURN: Cloud transition pricing issues risking customer churn
- TALENT: Intensifying competition for product/engineering talent
- PRICING: Pricing pressure from free/lower-cost alternatives
Key Priorities
- CLOUD: Accelerate enterprise cloud migration with clearer value
- AI: Integrate AI capabilities across product suite
- GTM: Strengthen enterprise go-to-market and sales motions
- EXPANSION: Expand beyond dev teams to broader business use cases
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
CLOUD DOMINATION
Make cloud migration irresistible for every customer
AI EXCELLENCE
Lead the market with AI-powered collaboration tools
SALES MASTERY
Transform go-to-market to dominate enterprise segment
BEYOND DEV
Expand collaboration footprint across all business teams
METRICS
VALUES
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.
Atlassian Sales Retrospective
AI-Powered Insights
Powered by leading AI models:
Example Data Sources
- REVENUE: $2.8B annual revenue with 30% YoY growth
- CUSTOMERS: 250,000+ customers across 190 countries
- CLOUD: 60% of customers migrated to cloud solutions
- MARKETPLACE: 5,000+ apps with $500M+ ecosystem revenue
- EMPLOYEES: 8,000+ employees globally with 30% in R&D
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
What Went Well
- CLOUD: Cloud migration exceeding targets with 60%+ customers migrated
- REVENUE: Cloud revenue grew 50% YoY, driving overall 30% revenue growth
- EXPANSION: Net expansion rate remained strong at 120% for seventh quarter
- PRODUCTS: Point releases of Jira and Confluence received positive reviews
- MARKETPLACE: Marketplace revenue up 35% contributing to overall growth
Not So Well
- ENTERPRISE: Large enterprise deals closed below target, 15% miss
- COSTS: Cloud infrastructure costs exceeded projections by 22%
- CHURN: Slight increase in SMB customer churn during cloud transitions
- MARKETING: New customer acquisition campaigns underperformed by 18%
- PRODUCTIVITY: Sales productivity metrics declined 12% vs previous quarter
Learnings
- VALUE: Enterprise customers need clearer cloud migration value messaging
- TIMING: Long-term contracts slow cloud migration requiring new incentives
- SEGMENTS: Product-led growth strongest in mid-market vs enterprise segment
- ADOPTION: Feature adoption correlates directly with renewal likelihood
- ONBOARDING: Initial 90-day experience critical to long-term customer value
Action Items
- GTM: Restructure enterprise sales approach with solution-focused selling
- TRAINING: Implement comprehensive cloud migration sales enablement
- INCENTIVES: Create new financial incentives for cloud migration
- MARKETING: Launch targeted campaign for enterprise collaboration needs
- METRICS: Implement improved sales productivity tracking and coaching
To accelerate revenue growth by delivering exceptional value through innovative collaboration products to become the preeminent platform powering 1 million teams globally
Strengths
- DATA: Vast user workflow data ideal for AI model training
- INNOVATION: Early AI investments like Jira Predict and Team IQ
- TALENT: Strong AI engineering talent from acquisitions
- PLATFORM: Open platform architecture enabling AI integration
- BUDGET: Strong financial position to invest in AI capabilities
Weaknesses
- COHESION: Fragmented AI approach across product portfolio
- TALENT: Insufficient specialized AI product management talent
- GTM: Unclear AI value messaging in sales and marketing
- SPEED: Slower AI feature release cadence vs competitors
- INTEGRATION: Limited native AI across full product suite
Opportunities
- WORKFLOW: AI-powered workflow automation and predictive insights
- INTEGRATION: AI-driven integration between products and tools
- ANALYTICS: Enhanced business intelligence through AI analytics
- EXPERIENCE: Improved user experience through personalization
- EFFICIENCY: Internal efficiency gains through AI adoption
Threats
- COMPETITION: Microsoft's Copilot and Salesforce Einstein advances
- COMMODITIZATION: AI features becoming standard expectations
- TALENT: Intense competition for specialized AI talent
- REGULATION: Evolving AI regulations impacting development
- EXPECTATIONS: Rising customer expectations for AI capabilities
Key Priorities
- WORKFLOW: Develop unified AI-powered workflow automation
- INTEGRATION: Enhance cross-product integration through AI
- TALENT: Significantly expand AI product and engineering team
- GTM: Create clear AI value proposition for sales and marketing