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Miro Engineering

To build the technology enabling teams to create together without boundaries through an intuitive visual workspace for distributed collaboration.

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Align the strategy

Miro Engineering SWOT Analysis

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To build the technology enabling teams to create together without boundaries through an intuitive visual workspace for distributed collaboration.

Strengths

  • PLATFORM: Industry-leading visual collaboration platform with 45M+ users and 150,000+ paying customer organizations
  • ECOSYSTEM: Robust app marketplace with 100+ integrations including Microsoft 365, Google Workspace, Slack, and Zoom
  • ARCHITECTURE: Scalable cloud infrastructure handling 500,000+ concurrent users with 99.9% uptime SLA
  • UX: Intuitive interface with drag-and-drop functionality driving industry-leading 75% user retention rate
  • FLEXIBILITY: Support for diverse use cases (design, agile, strategy) across 20+ industries with customizable templates

Weaknesses

  • PERFORMANCE: Board loading times exceed targets by 35% for complex projects with 1000+ elements
  • MOBILE: Limited mobile functionality with 65% feature parity compared to desktop version
  • SECURITY: Enterprise-grade security features lag behind competitors with slower compliance certification cycles
  • TECHNICAL DEBT: Legacy code base in core product areas requiring 40% more maintenance time than industry average
  • TALENT: Engineering team growth of 15% falls below 25% market benchmark for similar-stage SaaS companies

Opportunities

  • AI: Implement AI-powered content generation and workflow automation to reduce user effort by 30%
  • ENTERPRISE: Expand enterprise-grade features to capture 40% more of the $50B visual collaboration enterprise market
  • VERTICALS: Develop industry-specific solutions for high-growth sectors like healthcare (23% CAGR) and finance (19% CAGR)
  • EDUCATION: Target the $10B education market with specialized functionality for classroom collaboration
  • API: Enhance developer platform to double third-party integration ecosystem from 100 to 200+ apps

Threats

  • COMPETITION: Microsoft and Google expanding visual collaboration capabilities within their productivity suites
  • RECESSION: Economic uncertainty leading to 20% decrease in SaaS spending across enterprise customers
  • SATURATION: Visual collaboration market maturing with 15+ direct competitors offering similar core functionality
  • COMPLEXITY: Growing feature set increasing product complexity and potentially impacting user experience
  • PRIVACY: Evolving global regulations (GDPR, CCPA) requiring significant engineering resources for compliance

Key Priorities

  • PERFORMANCE: Optimize board loading times and real-time collaboration performance to maintain competitive advantage
  • AI: Develop AI-powered features for content generation, organization, and workflow automation
  • ENTERPRISE: Enhance security, compliance, and admin capabilities to capture larger share of enterprise market
  • ARCHITECTURE: Modernize core architecture to support faster innovation while managing technical debt
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Align the plan

Miro Engineering OKR Plan

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To build the technology enabling teams to create together without boundaries through an intuitive visual workspace for distributed collaboration.

ACCELERATE AI

Lead visual collaboration with intelligent features

  • GENERATIVE: Launch AI diagram generation from text prompts with 85% user satisfaction and 25% weekly adoption rate
  • PLATFORM: Build unified AI infrastructure enabling 65% faster deployment of new AI features across product teams
  • ASSISTANT: Deploy AI collaboration assistant with workflow recommendations achieving 30% usage among active teams
  • ACCURACY: Reach 90% accuracy rates for AI-generated content with feedback loop improving model performance by 15% monthly
ELEVATE PERFORMANCE

Deliver lightning-fast collaboration experience

  • SPEED: Reduce average board loading time by 50% for complex boards while handling 30% more concurrent users
  • RELIABILITY: Achieve 99.95% platform availability across all regions with mean time to recovery under 10 minutes
  • ARCHITECTURE: Complete microservices migration for 70% of core platform components reducing deployment time by 60%
  • REALTIME: Optimize real-time collaboration to support 200+ simultaneous editors with no perceptible latency
SECURE ENTERPRISE

Win enterprise market with best-in-class capabilities

  • COMPLIANCE: Achieve FedRAMP, HIPAA, and ISO 27701 certification to unlock $75M in regulated industry opportunities
  • GOVERNANCE: Launch enterprise admin console with 15 new governance features covering 100% of enterprise requirements
  • DIRECTORY: Complete SSO and directory integration with 10 additional identity providers used by 85% of Fortune 500
  • ADOPTION: Increase enterprise-tier customers by 40% through enhanced security features and compliance certifications
MODERNIZE FOUNDATION

Build scalable architecture enabling rapid innovation

  • DEBT: Reduce technical debt by 40% in core platform areas through targeted refactoring and modernization
  • MOBILE: Achieve 90% feature parity between mobile and desktop platforms increasing mobile MAU by 35%
  • TESTING: Implement automated testing framework covering 85% of core functionality reducing regression bugs by 70%
  • PLATFORM: Launch next-gen developer platform with expanded APIs resulting in 50 new third-party integrations
METRICS
  • MONTHLY ACTIVE TEAMS: 22M by Q2 end (18% YoY growth)
  • PLATFORM AVAILABILITY: 99.95% across all regions
  • API ADOPTION: 40% of customer base using at least one API integration
VALUES
  • Ship with quality and speed
  • Be customer-obsessed
  • Embrace transparent collaboration
  • Think big and innovate
  • Act with ownership
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Align the learnings

Miro Engineering Retrospective

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To build the technology enabling teams to create together without boundaries through an intuitive visual workspace for distributed collaboration.

What Went Well

  • GROWTH: Achieved 35% YoY revenue growth, exceeding 30% target, with enterprise segment growing 42%
  • RETENTION: Improved net dollar retention to 115%, up from 108% in previous quarter
  • EXPANSION: Successfully launched in 5 new countries with localized versions increasing international revenue by 28%
  • PLATFORM: API usage increased 75% following the release of expanded developer platform capabilities

Not So Well

  • CHURN: SMB segment experienced higher than expected churn of 3.8% vs 2.5% target due to economic pressures
  • PERFORMANCE: Multiple service disruptions impacted platform availability, dropping below 99.9% SLA to 99.7%
  • CONVERSION: Free-to-paid conversion rate declined 2.5 percentage points as competition intensified
  • VELOCITY: Product release velocity decreased 20% due to increasing technical debt and integration challenges

Learnings

  • SEGMENTATION: Enterprise customers value security and compliance features 3x more than SMB customers
  • ADOPTION: Team onboarding remains key friction point with 40% of new teams struggling during first two weeks
  • TEMPLATES: Pre-built templates drive 65% higher engagement and 40% better retention versus blank boards
  • WORKFLOWS: Customers using Miro integrations with ticketing and project management tools show 45% higher team usage

Action Items

  • RELIABILITY: Improve infrastructure and monitoring to restore 99.95% availability across all regions
  • ARCHITECTURE: Accelerate platform modernization to reduce technical debt by 30% over next 6 months
  • ONBOARDING: Redesign team onboarding experience to reduce time-to-value from 14 days to 7 days
  • INTELLIGENCE: Fast-track priority AI features to meet competitive pressures and capitalize on market opportunity
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Drive AI transformation

Miro Engineering AI Strategy SWOT Analysis

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To build the technology enabling teams to create together without boundaries through an intuitive visual workspace for distributed collaboration.

Strengths

  • FOUNDATION: Strong data foundation with billions of user interactions to train and improve AI models
  • TALENT: Growing AI research team with key hires from Google, Microsoft, and top AI research institutions
  • INTEGRATION: Existing AI capabilities for content search, categorization, and basic recommendations
  • CANVAS: Visual workspace provides ideal environment for implementing AI-powered diagramming and organization
  • PARTNERSHIP: Strategic relationships with OpenAI and Microsoft providing early access to advanced AI capabilities

Weaknesses

  • INFRASTRUCTURE: Current infrastructure requires significant upgrades to support advanced AI model deployment at scale
  • STRATEGY: Fragmented AI roadmap across product teams lacking cohesive enterprise-wide strategy
  • SPECIALIZATION: Limited specialized ML engineers with visual collaboration domain expertise
  • TOOLING: Insufficient internal tooling for AI model training, testing and deployment compared to AI-native competitors
  • GOVERNANCE: Immature AI governance framework for ensuring responsible and ethical AI implementation

Opportunities

  • GENERATIVE: Implement generative AI to create diagrams, wireframes, and content from text prompts
  • INTELLIGENCE: Build AI assistants that suggest next steps and best practices based on workflow patterns
  • ORGANIZATION: Develop AI tools to automatically organize and structure complex visual information
  • COLLABORATION: Create AI capabilities to facilitate better team collaboration by identifying connections and gaps
  • INSIGHTS: Extract actionable insights from visual collaboration data to improve team productivity

Threats

  • COMPETITION: Competitors like Figma and Notion rapidly deploying advanced AI features ahead of market
  • EXPECTATIONS: User expectations for AI capabilities outpacing delivery timelines by 2-3 quarters
  • COMMODITIZATION: Core visual collaboration features becoming commoditized through widely available AI tools
  • COST: Increasing infrastructure and computing costs for AI deployment impacting margins
  • TRUST: Potential user concerns around data privacy and AI-generated content ownership

Key Priorities

  • GENERATIVE: Prioritize development of generative AI features to create diagrams, content and workflows from text inputs
  • PLATFORM: Build unified AI platform and infrastructure to accelerate AI feature development across product teams
  • INTELLIGENCE: Create AI assistants that guide users through optimal collaboration workflows based on patterns
  • TALENT: Strategically expand AI engineering team with specialists in visual understanding and collaboration