Dashboard Principles
Good dashboards shorten decision loops. Every KPI should answer who acts, when they act, and what action they take.
Avoid vanity metrics. Favor leading indicators tied to margin, cycle time, utilization, and cash conversion.
Industry KPI Sets
Construction: schedule variance, labor efficiency, change order cycle time, AR aging.
Manufacturing: OEE, first-pass yield, scrap trend, throughput by constraint line.
Logistics: order cycle time, pick accuracy, dock-to-stock, exception SLA.
Home services: first-time fix rate, route efficiency, utilization, cancellation/no-show rate.
Data Governance
Define source systems and owner for each KPI. If ownership is ambiguous, trust erodes and dashboard adoption drops.
Create metric definitions in plain language and pin them in the interface for alignment.
Rollout and Adoption
Release dashboards by decision role: executives, operations leaders, and frontline managers. One giant dashboard rarely works.
Use a weekly review cadence for the first quarter to lock behaviors and identify metric gaps.
FAQs
How many KPIs should we launch with?
Start with 8–12 decision-critical metrics and expand only after adoption is stable.
Should dashboards be real-time?
Only for time-sensitive decisions. For many workflows, 15–60 minute refresh windows are sufficient and cheaper.