Platform features and analytical capabilities
This section describes the primary capabilities provided by haxixform for structured review of business activity. The platform accepts event records from multiple sources, validates incoming records against configured schemas, and performs normalization so disparate attribute names and types map to a common representation. Aggregation routines compute indicators using configured windows and methods; options include simple counts, rates normalized by a baseline attribute, moving averages, and variance measures. Event correlation tools support temporal association checks between activity types. Saved views and filters allow review participants to repeat a standard sequence of steps when preparing for meetings. Interfaces present raw event streams alongside summarized indicators so reviewers can inspect how aggregated values were derived. The platform stores provenance metadata to record source system identifiers, ingestion timestamps, and the configuration used in normalization and aggregation to support reproducible review practice.
Visualization controls and review interfaces
Visualization in haxixform focuses on clarity and reproducibility. Chart types include time-series line and area charts, stacked and grouped bar charts for categorical comparisons, and compact sparklines for quick trends. Tables display normalized indicator values with clear headers and units; columns can be pinned, sorted, and exported. Annotations may be added to charts and tables to capture reviewer observations that are preserved in the view snapshot. Controls include configurable aggregation windows, axis scaling options, and sampling or smoothing methods. Color palettes are intentionally muted to support neutral assessment; color assignments are consistent across comparable views to avoid misleading contrasts. Filters allow selection by attribute values, time ranges, and organizational units, and saved view functionality captures the full set of controls and filters used to produce a particular presentation. Accessibility considerations include high-contrast mode, readable type sizes, keyboard navigation, and proper ARIA attributes so review participants using assistive technologies can navigate views and export content. These interface elements are intended to help review teams prepare standard materials without altering the underlying processing configuration used to compute indicators.
Data handling, validation, and exports
Data handling in the platform follows a neutral, auditable sequence. Records are validated against configured schemas on ingestion to identify missing or malformed fields. Normalization maps source-specific attributes to the common schema used for aggregation. Optional enrichment steps merge reference data where configured. Processing metadata records the schema version, ingestion timestamp, and any transformation steps applied so that aggregated values can be traced back to input records. Validation rules surface exceptions that can be reviewed and corrected; corrective actions are logged in the audit trail. Export capabilities include tabular CSV extracts of underlying records, PDF snapshots of dashboards and tables that embed view metadata, and structured snapshots that package view configuration and processing summaries. These exports are intended to support archival of review artifacts and enable reviewers to include reproducible descriptions of how views were produced in meeting materials or archival records. The design emphasizes clear provenance and the ability to reproduce analytical outputs from the recorded configuration and source data.