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Vision

Your always-on customer insights engine

Mission Statement

Transform customer conversations into product decisions. Start with Intercom analysis today, evolve into your complete customer intelligence platform tomorrow. Our AI agents turn feedback into prioritized roadmap items with real customer impact data - from initial insights to sprint-ready tickets.

Current Focus: Ask-Intercom Foundation

What we do today: AI-powered analysis of Intercom conversations to surface customer complaints, feature requests, support issues, and sentiment trends through natural language queries.

Why we started here: Intercom contains the richest customer conversation data, making it the perfect foundation for understanding customer needs and building robust AI analysis capabilities.

Expanded Vision: Complete Customer Intelligence Platform

Where we're heading: Your always-on customer insights engine that connects all feedback sources (Intercom, Zendesk, Canny) with AI agents that assess customer feedback in real-time and turn it into actionable roadmap items: bugs, feature requests, long-term vision - tied to real customer data with impact assessment. Connect your product roadmapping tools (Linear, Jira, Asana) and we create tickets ready for your sprints.

Version Strategy & Roadmap

Phase 1: Ask-Intercom Foundation (0.1 - 0.9)

Goal: Perfect Intercom analysis and establish AI-powered customer insights foundation

  • 0.1-0.4: ✅ Core Intercom analysis (current state)

    • CLI prototype and web interface
    • Natural language queries
    • Structured insights with customer details
    • Real-time progress tracking

  • 0.5-0.7: Enhanced UX + Performance

    • Conversational follow-up questions
    • MCP integration for faster queries
    • Export functionality and sharing
    • Better onboarding and user experience

  • 0.8-0.9: Intercom Intelligence Platform

    • Advanced filtering and segmentation
    • Scheduled reports and alerts
    • Team collaboration features
    • Enterprise-grade scaling

Phase 2: Multi-Platform Intelligence (1.0 - 1.9)

Goal: Expand beyond Intercom to create unified customer feedback hub

  • 1.0-1.2: Additional Feedback Sources

    • Zendesk integration for support tickets
    • Canny integration for feature requests
    • Unified query interface across platforms

  • 1.3-1.5: Roadmap Tool Integration

    • Linear integration for product planning
    • Jira integration for development workflows
    • Asana integration for project management

  • 1.6-1.9: Unified Customer Intelligence

    • Cross-platform customer journey mapping
    • Impact assessment across all feedback sources
    • Intelligent prioritization and routing

Phase 3: Automated Roadmap Engine (2.0 - 2.9)

Goal: Transform feedback into actionable product decisions automatically

  • 2.0-2.3: Real-time Impact Assessment

    • AI-driven customer impact scoring
    • Automatic categorization and tagging
    • Trend detection and early warning systems

  • 2.4-2.6: Sprint-Ready Automation

    • Automatic ticket creation in roadmap tools
    • Sprint planning recommendations
    • Resource allocation suggestions

  • 2.7-2.9: Predictive Intelligence

    • Feature success prediction
    • Customer churn risk assessment
    • Roadmap optimization recommendations

Phase 4: Intelligence Ecosystem (3.0+)

Goal: Complete predictive platform with AI-driven workflow automation

  • 3.0+: Predictive Platform
    • Predictive insights and recommendations
    • Integration ecosystem and API platform
    • AI-driven workflow automation
    • White-label platform options

Why This Progression Makes Sense

  1. Foundation First: Master one platform (Intercom) before expanding
  2. Proven Value: Establish clear ROI with existing customer conversation analysis
  3. Natural Evolution: Each phase builds on previous capabilities
  4. Market Validation: Validate approach with real users before major expansion
  5. Technical Maturity: Develop robust AI and integration patterns incrementally

Target Users

Phase 1 (Current): Product Teams

  • Product managers analyzing customer feedback
  • Support teams identifying common issues
  • Engineering teams prioritizing bug fixes

Phase 2-3: Product Organizations

  • Cross-functional product teams
  • Customer success organizations
  • Engineering and design teams

Phase 4: Enterprise Product Operations

  • Multi-product companies
  • Platform and API teams
  • Customer intelligence organizations

Success Metrics

  • Phase 1: Time to insights (current: <2 minutes), query success rate, user adoption
  • Phase 2: Cross-platform coverage, integration usage, unified insights quality
  • Phase 3: Automated ticket accuracy, sprint planning efficiency, roadmap alignment
  • Phase 4: Predictive accuracy, workflow automation adoption, ecosystem growth

This vision document establishes our long-term direction while maintaining focus on our current Intercom analysis strength.