1466 - NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation

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Authors: Association for Artificial Intelligence 2026, Caner Gözübüyük, Arthur De Magalhaes, Pratik Mishra, Prateeti Mohapatra, Seema Nagar, Raya Wittich
Cited by: 0

Abstract

Manual creation of IT monitoring dashboard widgets is slow, error-prone, and a barrier for both novice and expert users. We present NOVAID, an interactive chatbot that leverages Large Language Models (LLMs) to generate IT monitoring widgets directly from natural language queries. Unlike general natural language–to-visualization tools, NOVAID addresses IT operations–specific challenges: specialized widget types like SLO charts, dynamic API-driven data retrieval, and complex contextual filters. The system combines a domain-aware semantic parser, fuzzy entity matching, and schema completion to produce standardized widget JSON specifications. An interactive clarification loop ensures accuracy in underspecified queries. On a curated dataset of 271 realistic queries, NOVAID achieves promising accuracy (up to 94.10% in metric extraction) across multiple LLMs. A user study with IT engineers yielded a System Usability Scale score of 74.2 for NOVAID, indicating good usability. By bridging natural language intent with operational dashboards, NOVAID demonstrates clear potential and a path for deployment in enterprise ITOps monitoring platforms.

Fields of Study & Subjects

Software System Performance and Reliability Software Engineering Research Data Visualization and Analytics

Publication details

Journal / source
Underline Science Inc.
Publication date
7 January 2026
Language
EN