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Lattice.com Engineering

To build technology that powers the world's most engaged workforce by revolutionizing people management

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To build technology that powers the world's most engaged workforce by revolutionizing people management

Strengths

  • PLATFORM: Comprehensive HR platform with 5000+ customers shows strong product-market fit and scalability potential
  • INTEGRATION: 50+ native integrations with HRIS/ATS systems create strong customer stickiness and competitive moats
  • ANALYTICS: Advanced people analytics and AI-powered insights differentiate from basic performance management tools
  • SECURITY: SOC2 Type II compliance and enterprise-grade security enables expansion into Fortune 500 market segment
  • GROWTH: 40%+ YoY revenue growth demonstrates strong market demand and effective go-to-market execution strategy

Weaknesses

  • SCALE: Platform performance degrades with 1000+ employee customers requiring urgent infrastructure modernization
  • MOBILE: Limited mobile functionality reduces user engagement by 35% compared to web platform usage metrics
  • CUSTOMIZATION: Rigid workflow configurations limit enterprise adoption and increase customer churn by 15%
  • REPORTING: Basic reporting capabilities force customers to export data to external BI tools reducing platform value
  • API: Limited API functionality restricts third-party integrations and custom development for enterprise clients

Opportunities

  • AI: $12B AI-powered HR tech market growing 25% annually presents massive revenue expansion opportunity through automation
  • ENTERPRISE: Fortune 500 companies spending $180B on HR tech with only 12% using modern performance management platforms
  • INTERNATIONAL: European and APAC markets represent 60% of global HR tech spend with minimal competitive penetration
  • RETENTION: Employee retention crisis costs companies $1T annually creating urgent need for engagement solutions
  • REMOTE: 42% of workforce now remote requires new performance management approaches favoring digital-first platforms

Threats

  • COMPETITION: Microsoft Viva and Google Workspace adding HR features could commoditize core functionality overnight
  • ECONOMY: Economic downturn could reduce HR tech budgets by 30% as companies prioritize essential operations only
  • REGULATION: GDPR and privacy regulations increasing compliance costs and limiting data analytics capabilities globally
  • CONSOLIDATION: Large HCM vendors acquiring point solutions could eliminate partnership opportunities and market access
  • SATURATION: Mid-market segment becoming saturated with 200+ competitors driving down pricing and profit margins

Key Priorities

  • INFRASTRUCTURE: Modernize platform architecture to handle enterprise scale and improve performance for large customers
  • AI: Accelerate AI integration to automate insights and stay ahead of Microsoft/Google competitive threats
  • ENTERPRISE: Expand enterprise capabilities and sales to capture Fortune 500 market before competitors establish dominance
  • MOBILE: Develop mobile-first experience to increase engagement and user adoption across all customer segments
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To build technology that powers the world's most engaged workforce by revolutionizing people management

SCALE PLATFORM

Modernize infrastructure for enterprise performance

  • ARCHITECTURE: Migrate 80% of core services to microservices architecture by Q2 end with 99.9% uptime SLA
  • PERFORMANCE: Reduce API response times by 60% for customers with 1000+ employees through caching optimization
  • MONITORING: Deploy comprehensive observability stack capturing 100% of user transactions and system metrics
  • CAPACITY: Implement auto-scaling infrastructure supporting 10x current load with <2 second response times
AI ADVANTAGE

Launch AI features that differentiate and automate

  • MODELS: Ship turnover prediction model achieving 85% accuracy for customers with 6+ months data history
  • COACHING: Launch AI coaching recommendations generating 3x more manager engagement than static content
  • INSIGHTS: Deploy NLP sentiment analysis processing 100% of performance review text for trend analysis
  • INFRASTRUCTURE: Build ML pipeline supporting real-time inference for 1M+ employees across customer base
WIN ENTERPRISE

Capture Fortune 500 market with advanced capabilities

  • FEATURES: Launch advanced workflow engine supporting custom approval chains for Fortune 500 requirements
  • SECURITY: Achieve FedRAMP authorization enabling government and regulated industry customer acquisition
  • INTEGRATIONS: Build 15 new enterprise system integrations including Workday, SuccessFactors, BambooHR
  • SALES: Close 25 Fortune 500 customers with average deal size >$200K through dedicated enterprise sales team
MOBILE FIRST

Create engaging mobile experience driving adoption

  • APP: Launch iOS and Android apps with feature parity to web platform achieving 4.5+ app store ratings
  • ENGAGEMENT: Increase mobile user engagement to 80% of web platform usage through push notifications
  • OFFLINE: Enable offline functionality for performance reviews and goal updates with automatic sync capability
  • ADOPTION: Achieve 70% monthly active mobile users across customer base through gamification features
METRICS
  • Platform Uptime: 99.95%
  • Enterprise ARR Growth: 60%
  • Mobile User Engagement: 80% of web usage
VALUES
  • Customer Obsession
  • Engineering Excellence
  • Data-Driven Innovation
  • Scalable Growth
  • Team Empowerment
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Align the learnings

Lattice.com Engineering Retrospective

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To build technology that powers the world's most engaged workforce by revolutionizing people management

What Went Well

  • REVENUE: Achieved 45% YoY growth reaching $180M ARR exceeding Wall Street expectations by $12M in Q4 2024
  • RETENTION: Net revenue retention improved to 118% from 112% showing strong expansion within existing customer base
  • ENTERPRISE: Landed 15 Fortune 500 customers representing 25% of new bookings and average deal size growth of 60%

Not So Well

  • CHURN: SMB customer churn increased to 8% annually due to platform complexity and limited customer success resources
  • MARGINS: Gross margins declined 3% due to infrastructure scaling costs and increased customer support headcount needs
  • MOBILE: Mobile user engagement remained 40% below web platform usage despite product team investment priorities

Learnings

  • FOCUS: Enterprise customers require dedicated technical resources and custom integrations to achieve successful outcomes
  • SCALE: Platform performance issues at enterprise scale must be addressed before aggressive large customer acquisition
  • SUPPORT: Proactive customer success prevents churn better than reactive support especially for smaller customers

Action Items

  • ARCHITECTURE: Rebuild core platform on microservices to handle enterprise scale and improve system reliability
  • MOBILE: Launch mobile app redesign project with dedicated iOS/Android teams to match web platform functionality
  • SUCCESS: Hire 10 customer success managers focused on SMB segment to reduce churn and improve expansion rates
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To build technology that powers the world's most engaged workforce by revolutionizing people management

Strengths

  • DATA: Rich employee performance and engagement data creates unique training datasets for AI model development
  • TALENT: Strong engineering team with ML expertise and recent AI hires from Google and Meta for model development
  • PARTNERSHIPS: Existing integrations provide data pipelines for AI training and real-time inference capabilities
  • CUSTOMERS: 5000+ customers provide diverse use cases and feedback loops for AI feature validation and improvement

Weaknesses

  • INFRASTRUCTURE: Current data architecture not optimized for real-time AI inference requiring significant technical debt resolution
  • RESOURCES: Limited GPU compute budget restricts model training and experimentation compared to well-funded AI competitors
  • EXPERTISE: Need more specialized AI/ML talent particularly in NLP and predictive analytics for HR use cases
  • COMPLIANCE: AI governance framework immature creating risks for enterprise customers with strict regulatory requirements

Opportunities

  • AUTOMATION: AI can automate 70% of performance review processes reducing admin burden and increasing manager adoption
  • PREDICTION: Predictive analytics for turnover risk could save customers $50K per prevented departure creating premium pricing
  • PERSONALIZATION: AI-powered coaching recommendations could increase engagement scores by 40% based on early pilots
  • INSIGHTS: Natural language processing of feedback data could surface insights impossible with traditional analytics methods

Threats

  • COMPETITION: OpenAI and Anthropic partnering with HR vendors could leapfrog our AI capabilities within 12 months
  • PRIVACY: AI bias and privacy concerns could limit adoption especially in regulated industries and European markets
  • COSTS: AI infrastructure costs could consume 25% of engineering budget without clear ROI in early deployment phases
  • TALENT: AI talent war with tech giants makes hiring and retention extremely expensive and competitive

Key Priorities

  • MODELS: Develop proprietary AI models for performance prediction and automated coaching to create competitive differentiation
  • INFRASTRUCTURE: Build scalable ML infrastructure to support real-time AI features across all product modules
  • GOVERNANCE: Establish AI ethics and compliance framework to enable enterprise adoption and regulatory compliance