How It Works

How SmartScore MQI Works

Turn complex KPIs into actionable insights with our three-step SmartScore MQI process—calibrate, analyze, and report.

Calibration

Translate raw KPI data into a consistent performance score scale (1–5) to make metrics comparable and interpretable. 

Analytics & Visuals

Apply the scoring layer to live data to generate trend analysis, cohort comparisons, and visual diagnostics. 

Executive Readout

Provide clear, explainable reports highlighting changes, drivers, and recommended actions for decision-makers. 

Performance Isn’t Linear

People don’t perceive KPIs in straight lines. MQI quantizes raw numbers into experience-aligned quality levels.  

  • Not Perceived (Low)
  • Noticeable (Rising)
  • Annoying (High)
  • Unusable (Very High)

“MQI maps “milliseconds” into discrete quality indices that match what users actually feel— then rolls those indices into a score and visual diagnostics.”

What SmartScore MQI Delivers

SmartScore MQI is built for environments where performance cannot be reduced to a single metric.

Instead of replacing your dashboards, MQI adds a translation layer to:

  • Normalizes your KPI set into a consistent score language
  • Generates AI-readable diagnostics to support monitoring,
    benchmarking, and explanation.
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AI-Assisted. Human-Controlled

SmartScore MQI combines intelligent anomaly detection with human oversight to ensure performance monitoring remains responsible, explainable, and accountable. 

AI detects drift and anomalies across cohorts and KPIs in real time

Drafted recommendations include trend context, comparisons, and driver KPIs

Human approval required before alerts, escalations, or tickets are created

Controlled recalibration when KPI baselines shift due to rollout or seasonality