Dynamic open ticket filtering

Problem Context

Analytics teams use dashboards to track open tickets across multiple ticket types (e.g., incidents, change requests). They need a single filter to show all open tickets, but native dashboards require manual dot-walking for each type (e.g., Incident.state, ChangeRequest.state). This breaks when new ticket types are added, forcing manual updates and incorrect reports.

Pain Points

Users waste hours manually configuring filters for 15+ ticket types. Broken filters show incorrect data (e.g., closed tickets appearing as open). Adding new ticket types requires reconfiguring the entire dashboard, causing downtime and frustration. Current workarounds (dot-walking, active=true flags) fail for resolved tickets still marked as 'active.'

Impact

Incorrect reports lead to misallocated resources, delayed responses, and lost revenue. Teams spend 5+ hours/week fixing broken filters instead of analyzing data. Dashboards become unreliable, eroding trust in analytics tools. The risk of missing critical open tickets grows as the system scales.

Urgency

This is a daily pain for analytics teams. Every new ticket type added breaks the dashboard until manually fixed. The problem worsens as companies adopt more ticket types (e.g., SCTASK, change requests). Without a fix, reporting accuracy degrades over time, directly impacting operational decisions.

Target Audience

IT operations managers, analytics dashboard admins, and SaaS platform teams using ticketing systems (e.g., Jira, ServiceNow, Zendesk). Any organization with multi-type ticket workflows and analytics dashboards faces this issue. Startups to enterprises with 10+ ticket types are most affected.

Solution Approach

TicketState Unifier is a lightweight API that automatically detects all ticket types in a system and generates a single, universal 'open tickets' filter. It replaces manual dot-walking with a one-click solution that adapts to new ticket types without configuration. The tool integrates with existing dashboards via API, requiring no code changes.

Key Features

1. Universal Filter: Creates a dynamic SQL/NoSQL query that filters for 'open' states across all detected types in one step.
2. Real-Time Sync: Updates filters automatically when new ticket types are added.
3. Dashboard Plug-In: Provides a widget for analytics tools (e.g., Grafana, Power BI) to embed the unified filter.

User Experience

Users connect TicketState Unifier to their dashboard via API key. They select 'Open Tickets' from a dropdown, and the tool instantly generates accurate results across all ticket types. No manual dot-walking or updates are needed. The dashboard shows real-time, correct data without configuration drift. Teams save 5+ hours/week on filter maintenance.

Differentiation

Unlike native dashboards (which require manual dot-walking) or custom scripts (which break when ticket types change), TicketState Unifier automatically adapts to new types. It’s lighter than ETL tools but more reliable than manual workarounds. The API-first design ensures compatibility with any analytics platform without vendor lock-in.

Scalability

Starts with a single dashboard, then scales to support multiple dashboards/teams. Pricing tiers grow with the number of ticket types and users. Enterprise plans include advanced features like audit logs and custom state mappings. The tool handles 100+ ticket types out of the box, future-proofing against system growth.

Expected Impact

Teams regain trust in their dashboards with 100% accurate open-ticket reports. They save 5+ hours/week on filter maintenance and avoid revenue risks from misallocated resources. The tool reduces onboarding time for new ticket types from hours to seconds. Analytics teams can focus on insights instead of fixing broken filters.