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Quality Metrics, QC and Performance Monitoring Workshop

Build expertise in analytical QC metrics, trend analysis, benchmark setting, deviation review, and performance monitoring for reliable lab operations.

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Analytical QC Metrics, Benchmarking and Performance Monitoring Workshop

Analytical QC Metrics, Benchmarking and Performance Monitoring Workshop
Workshop IndexDuration: 3 Days
Use the index to navigate the workshop sections and open quick reference modals for scope, audience, outcomes, delivery, policies, and FAQs.
Quick Summary
Quality ControlWorkshop FormatPractice Ready
QC Metrics and Monitoring Foundations
  • Connect assay quality, process stability, and review readiness in one monitoring model.
  • Monitoring ModelAssay Quality
  • Review precision, accuracy, recovery, repeatability, drift, turnaround, and exception metrics.
  • Metric FamiliesTrend Signals
  • Convert QC records into dashboards that surface change points and recurring deviations.
  • DashboardsDeviation Review
  • Compare threshold rules, alert tiers, and escalation logic for action oriented monitoring.
  • Threshold DesignEscalation Logic
  • Benchmark expected variation against meaningful process shifts in routine operations.
  • BenchmarkingProcess Shifts
Overview
Benchmark DesignApplied LearningDecision Support
Analytical Scope, Performance Signals, and Learning Outcomes
  • Map quality attributes, control points, and operational indicators used in QC oversight.
  • Quality AttributesControl Points
  • Identify source inputs such as control charts, batch review logs, and deviation summaries.
  • Data SourcesControl Charts
  • Build scorecards that prioritize accuracy, consistency, timeliness, and compliance visibility.
  • ScorecardsCompliance Visibility
  • Define acceptable ranges, trigger limits, and alert rules across methods and teams.
  • Trigger LimitsMethod Comparison
  • Interpret chronic drift, isolated excursions, seasonal loading, and review backlog signals.
  • Pattern ReviewDrift Detection
Agenda
Three Day FlowHands OnScenario Based
Three Day Agenda with Applied Hands-on Activities
  • Day 1 covers metric selection, KPI layering, baseline setting, and evidence quality checks.
  • Day 1KPI Layering
  • Day 2 focuses on threshold calibration, deviation clustering, alert routing, and issue grouping.
  • Day 2Alert Routing
  • Day 3 covers dashboard storytelling, management review prep, and action follow through.
  • Day 3Management Review
  • Hands-on work builds a metric dictionary, signal thresholds, and dashboard sections.
  • Metric DictionaryDashboard Sections
  • Review sessions cover trend charts, outlier reading, root cause framing, and response priority.
  • Trend ChartsResponse Prioritization
Deliverables
Reference AssetsGuided SupportFrequently Asked
Workshop Deliverables, Support Material, and FAQs
  • Receive a checklist for metric selection, thresholds, escalation paths, and monitoring ownership.
  • Selection ChecklistOwnership Map
  • Use template assets including a metric dictionary, dashboard wireframe, review cadence sheet, and action log.
  • Template AssetsAction Log
  • FAQ guidance explains background needs, source data expectations, and context adaptation.
  • Background KnowledgeSource Data Needs
  • Apply tool agnostic examples with spreadsheets, dashboards, or existing quality systems.
  • Tool AgnosticQuality Systems
  • Use the material to standardize review conversations and improve escalation consistency.
  • StandardizationWorkshop Support

Overview

  • Connect assay quality, process stability, and review readiness in one monitoring model.
  • Review precision, accuracy, recovery, repeatability, drift, turnaround, and exception metrics.
  • Map quality attributes, control points, and operational indicators used in QC oversight.
  • Identify source inputs such as control charts, batch review logs, and deviation summaries.

Who should attend

  • Analysts, QA teams, team leads, and operations managers responsible for performance review.
  • Professionals who define thresholds, interpret dashboards, or manage deviation escalation.
  • Teams aiming to standardize review conversations and improve escalation consistency.

Learning outcomes

  • Build scorecards that prioritize accuracy, consistency, timeliness, and compliance visibility.
  • Define acceptable ranges, trigger limits, and alert rules across methods and teams.
  • Interpret chronic drift, isolated excursions, seasonal loading, and review backlog signals.
  • Create monitoring plans and connect findings to continuous improvement actions.

Agenda

  • Day 1 covers metric selection, KPI layering, baseline setting, and evidence quality checks.
  • Day 2 focuses on threshold calibration, deviation clustering, alert routing, and issue grouping.
  • Day 3 covers dashboard storytelling, management review prep, and action follow through.

Hands-on / Demonstrations

  • Build a metric dictionary, signal thresholds, and dashboard sections.
  • Review trend charts, read outliers, frame root causes, and prioritize responses.
  • Draft a monitoring cadence for method, site, or team review cycles.

Deliverables

  • Receive a checklist for metric selection, thresholds, escalation paths, and monitoring ownership.
  • Use template assets including a metric dictionary, dashboard wireframe, review cadence sheet, and action log.
  • Apply tool agnostic examples with spreadsheets, dashboards, or existing quality systems.

FAQ

  • Background needs, source data expectations, and context adaptation are addressed during the workshop.
  • Reference modals recap scope, audience, outcomes, delivery expectations, policies, and FAQs.
  • Participants can reuse the material after the workshop for recurring quality reviews.