Product & Quality

Product & Quality

Optimize product performance and reliability.

Optimize product performance and reliability.

Example Product & Quality Dashboard

Example Product & Quality Dashboard

Product & Quality Dashbaords

Product & Quality Dashbaords

Purpose: Product & Quality dashboards help organisations detect issues early, protect customer trust, and improve operational efficiency by turning fragmented operational data into a single, decision-ready view.

They answer questions like:

  • Are we shipping the right quality, consistently?

  • Where are defects, delays, or failures emerging?

  • Which products, suppliers, or processes are driving risk?

Purpose: Product & Quality dashboards help organisations detect issues early, protect customer trust, and improve operational efficiency by turning fragmented operational data into a single, decision-ready view.

They answer questions like:

  • Are we shipping the right quality, consistently?

  • Where are defects, delays, or failures emerging?

  • Which products, suppliers, or processes are driving risk?

Product Performance

Product Performance

Focuses on how products behave in the real world, not just at release.

Focuses on how products behave in the real world, not just at release.

Common metrics

Defect rate (per unit / batch / release)

Failure rate over time

Returns & warranty claims

Usage anomalies

Mean time between failures (MTBF)

Common metrics

Defect rate (per unit / batch / release)

Failure rate over time

Returns & warranty claims

Usage anomalies

Mean time between failures (MTBF)

Potential data sources

Product telemetry / IoT sensors

Application logs & monitoring tools

Warranty & returns systems

CRM / customer support platforms

Manufacturing execution systems (MES)

Potential data sources

Product telemetry / IoT sensors

Application logs & monitoring tools

Warranty & returns systems

CRM / customer support platforms

Manufacturing execution systems (MES)

Quality Control & Compliance

Quality Control & Compliance

Ensures products meet internal standards and external regulations.

Ensures products meet internal standards and external regulations.

Common metrics

Pass / fail rates

Inspection outcomes

Non-conformance incidents

Audit findings

Rework & scrap rates

Common metrics

Pass / fail rates

Inspection outcomes

Non-conformance incidents

Audit findings

Rework & scrap rates

Potential data sources

Quality management systems (QMS)

Inspection & testing tools

Supplier quality reports

Audit management platforms

ERP quality modules

Potential data sources

Quality management systems (QMS)

Inspection & testing tools

Supplier quality reports

Audit management platforms

ERP quality modules

Manufacturing & Process Quality

Manufacturing & Process Quality

Tracks how reliably products are built.

Tracks how reliably products are built.

Common metrics

Yield rates

Process deviations

Downtime linked to quality issues

First-pass yield

Root cause categories

Common metrics

Yield rates

Process deviations

Downtime linked to quality issues

First-pass yield

Root cause categories

Potential data sources

Manufacturing Execution Systems (MES)

PLC / SCADA systems

ERP production modules

Maintenance systems (CMMS)

Operator input logs / checklists

Potential data sources

Manufacturing Execution Systems (MES)

PLC / SCADA systems

ERP production modules

Maintenance systems (CMMS)

Operator input logs / checklists

Customer-Reported Quality Singals

Customer-Reported Quality Singals

Captures quality issues after release, where risk becomes visible.

Captures quality issues after release, where risk becomes visible.

Common metrics

Customer complaints

Support ticket volume & severity

Refund reasons

Net Promoter Score (NPS) drivers

Churn linked to product issues

Common metrics

Customer complaints

Support ticket volume & severity

Refund reasons

Net Promoter Score (NPS) drivers

Churn linked to product issues

Potential data sources

Customer support platforms (e.g. ticketing systems)

CRM systems

Call centre logs

Survey tools

App store reviews / feedback forms

Potential data sources

Customer support platforms (e.g. ticketing systems)

CRM systems

Call centre logs

Survey tools

App store reviews / feedback forms

Customer Success & Product Data

Customer Success & Product Data

For subscription and recurring-revenue businesses, post-sale behaviour is a leading indicator of future growth.

For subscription and recurring-revenue businesses, post-sale behaviour is a leading indicator of future growth.

Used to surface:

  • Renewal and expansion signals

  • Usage trends linked to churn risk

  • Upsell and cross-sell opportunities

Used to surface:

  • Renewal and expansion signals

  • Usage trends linked to churn risk

  • Upsell and cross-sell opportunities

Typical Data Architecture

Typical Data Architecture

In practice, these dashboards rely on multiple operational systems, so architecture matters more than visuals.

  1. Source systems (MES, ERP, CRM, QMS, IoT, support tools)

  1. Central warehouse (cloud data warehouse)

  1. Transformation layer


  • Standardised defect definitions

  • Consistent severity scoring

  • Unified product & batch identifiers

  1. Analytics layer


  • Trend analysis

  • Threshold alerts

  • Root-cause drill-downs

  1. Dashboard & alerts


  • Exec summary

  • Ops views

  • Automated notifications

Why Data Integration Matters

Why Data Integration Matters

Without integration:

  • Teams argue over numbers

  • Root causes stay hidden

  • Issues are found too late


With a unified Product & Quality dashboard:

  • Issues surface earlier

  • Accountability is clear

  • Decisions are faster and defensible

Final Takeaway

Final Takeaway

Product & Quality dashboards are not just reporting tools — they are risk-management systems.

Their effectiveness depends less on charts, and more on:

  • Data completeness

  • Consistent definitions

  • Reliable, automated pipelines

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