# Product Vision Document – Water System Monitoring Platform **Status**: Draft (Pre-MVP) **Date**: June 2026 **Scope**: V1 / Beta ## 1. Core Vision & Philosophy - The product helps small water systems (particularly volunteer-run or lightly staffed systems) monitor their infrastructure, detect problems early, and maintain regulatory compliance. - The system is designed around **three layers of intelligence**: 1. Static thresholds (Yellow/Red) 2. Contextual / seasonal baselines 3. Relationship-based anomaly detection - The platform minimizes data egress by doing heavy summarization and intelligent monitoring locally on the edge device. - The long-term vision includes a specialized AI model trained on water system domain knowledge as a core differentiator. ## 2. Target Personas & Use Cases The product targets three primary personas: | Persona | Technical Level | Primary Needs | Dashboard Preference | |--------------------------|------------------|----------------------------------------------------|--------------------------| | **Board Member / Owner** | Low | Quick health status, alerts, confidence | Basic (default) | | **Licensed Operator** | High | Operational visibility, configuration, multi-system management | Advanced (default) | | **Regulatory / Compliance** | Medium | Automated reporting, record keeping, audit readiness | Basic + Compliance views | **Key Insight**: Licensed operators are expected to be the primary go-to-market entry point. They will often install and configure the system on behalf of their clients. ## 3. Multi-Tenancy & Access Control (MVP) - **Owner** → One water system (1:1 relationship) - **Operator** → Can manage multiple water systems - **Water System** → One primary Operator (1:1) - **Field Tech** → Tied to an Operator; inherits access to the Operator’s systems (with potential future granularity) - Roles for MVP: - **Owner**: Full access including all account/billing management - **Operator**: High access (everything except billing/account management) - **User / Field Tech**: Lower privileged (mostly read-only, can dismiss alerts) - Owners and Operators can both act on alerts. - Field Techs will have a simple boolean for temporary elevated permissions during setup/configuration (MVP). ## 4. Alert System (MVP) ### High-Level Lifecycle - **Created** → **Managed** → **Resolved** ### Alert Creation - Primary method: AI-assisted interview during sensor onboarding **[MVP]** - Secondary method: Simple manual alert editor **[MVP]** - Every alert includes: - Title - Description - Troubleshooting / Next Steps (human-readable guidance) - Alerts support chronological annotations/notes with authorship **[MVP]** ### Alert Behavior - Two severity levels: **Critical (Red)** and **Warning (Yellow)** **[MVP]** - Alerts are visible to both Owner and Operator **[MVP]** - Both roles can act on alerts (Dismiss/Acknowledge or Mark as Fixed) **[MVP]** - Contextual telemetry relationships are defined at alert creation time **[MVP]** - Deep links provide additional context when needed **[MVP]** **Post-MVP**: External notifications (email/SMS), advanced suppression logic, per-user notification preferences. ## 5. Dashboard Strategy (MVP) ### Two Dashboard Modes - **Basic Dashboard** (10,000 ft view) **[MVP]** - Designed primarily for Owners/Board Members - Shows overall system health at a glance - Uses **Monitored Objects** as the primary building block - Fixed top section with universal system metrics - Lower section contains cards for Monitored Objects - **Advanced Dashboard** (2,000 ft view) **[MVP]** - Designed primarily for Operators - More data-dense with trends and deeper visibility Users can override their default dashboard preference. ### Monitored Objects (Key Concept) **[MVP]** - A **Monitored Object** is a logical grouping of related sensors. - This is a first-class concept in the system. - The Basic Dashboard primarily displays Monitored Objects rather than raw individual sensors. **Post-MVP**: More advanced dashboard customization, widget system, and complex visualizations. ## 6. Data Modeling Concepts Two important first-class concepts: 1. **Monitored Objects** - Logical groupings of sensors - Used for dashboard organization and visualization 2. **Contextual Telemetry Relationships** - Defined at alert creation time (with AI assistance) - Used to provide relevant surrounding data when an alert fires - Static per alert rule