Dashboard & KPI Maturity

Time Is the One Resource You Can't Recover. Your Dashboard Should Reflect That.

Most organizations spend dozens of hours a week compiling the same numbers into slides — and by the time leadership sees them, they're already out of date. Actionable Insights delivers a comprehensive, integrated dashboard with real-time insights across Personnel, Safety, Quality, Delivery, Financial, Innovation, and Client/Customer. Tiered from Tier 1 through Tier 3, it links everyone — from the front line to the executive team — to the same numbers, transforming the organization into a performance-driven culture.

Why Now

Two Reasons This Can't Wait: Time and Cost.

The 15-second test. Look at your current dashboard for fifteen seconds. Can you say what to act on next — or is it just data formatted into charts? A real platform answers in one glance: which measure is off plan, by how much, who owns the recovery, and what’s the next step. The questions worth asking: how often would you want to drop to the next level down with the same information, or slice it a different way — on demand, without a new report request?

So try it. Give this EHS dashboard fifteen seconds — what are your key takeaways?

EHS performance dashboard — TRIR, leading and lagging safety measures, trend, and performance by organization
EHS dashboard: weighted index, key measures, the reactive→preventive arc, trend, and performance by organization — one screen.

In about fifteen seconds:

  • Overall EHS index is Meets (2.77 / 4.00) — healthy, but not green across the board.
  • TRIR 1.5 is the measure off plan — Partial against the <0.8 target, though the trend is moving the right way.
  • Compliance Risk (83%) is the soft spot: 2 open findings and 127 avg days to close.
  • Culture signals are strong — 230 near-misses, observation ratio 2.1 — reactive is giving way to preventive.
  • Act here: close the aging compliance findings and push TRIR toward target. One screen, one conclusion.

That’s the test passed — not “here are charts,” but “here’s what to do next,” with the Recover-to-Goal actions and definitions one click away.

Time. Every week your team spends pulling, formatting, and re-explaining last month's numbers is a week your competitors spend acting on this week's. Decisions made on stale data aren't wrong because people are careless — they're wrong because the data was three weeks old by the time it reached a decision-maker.

Cost. The hours spent administering metrics instead of acting on them are real labor cost — typically the equivalent of two to three full-time positions per site, every year, just to keep the lights on for reporting. That's before counting the cost of the decisions that got made late, or not at all.

The bigger cost isn’t building the KPI — it’s seeing the issue too late.

Manual reporting burns labor (above). But the larger loss is a signal caught late: a risk handled early in a Tier review is cheap; the same item missed becomes an issue — a deviation, a complaint, a missed shipment, an audit finding — at many times the cost.

Signal
Caught early (as a risk)
Caught late (as an issue)
Safety hazard
training / fix — low $
recordable incident, OSHA exposure
Quality deviation
in-process correction
batch loss, complaint, recall
Delivery slip
re-plan, expedite
missed shipment, penalty, lost trust

The dashboard doesn’t cost you money. The issue you saw too late does. Triggering early — while it’s still a risk — is where the platform pays for itself.

Illustrative Example — A Typical 200-Person Operations Site

3 production lines/areas × Tier 1/2/3 daily reviews × 1 hr prep each45 hrs/wk
10 supporting departments × Tier 1 daily × ~0.5–1 hr prep
QA, Engineering, Facilities, QC, Procurement, Warehousing, Planning, EHS, HR, IT
37.5 hrs/wk
Weekly & biweekly cross-functional reviews~8 hrs/wk
Monthly business review × 12 departments × 4 hrs prep each~11 hrs/wk
≈101.5 hrs/wk × 52 wks × $200/hr$1.06M/yr

Roughly 2.6 FTE of fully-loaded labor — spent creating and maintaining metrics rather than acting on them. A connected, automated dashboard model redirects that time toward root-cause resolution and Recover-to-Plan execution.

From Daily Action to Site-Level Visibility

Tier 1 to Tier 2 to Tier 3: One Connected System

Tier 1 is built around a simple daily question: did we complete everything On Time and Right First Time yesterday, and do we have everything we need for today? Each Suite/Area gets its own live status — open issues, alerts, alarms, and a weighted PSQDCI index — with escalations flowing automatically up through Tier 2 (Department/Area rollup) into the Tier 3 Site Scorecard. No separate reporting, no lag, no paper on the wall.

Leader Standard Work, finally connected

The shift-change report is built as a Power App that feeds directly into Power BI — so the hand-off leaders already run every shift becomes live Tier data the moment it’s entered. No more Word, Excel, or email shift reports sitting disconnected from the Tier construct. Captured once at the source, it rolls straight up the Tier 1 → Tier 2 → Tier 3 cascade in real time — the standard work and the dashboard are the same act, not two.

Tier 1 Manufacturing Area Status - SUITE-01 live dashboard with People, Safety, Quality, Delivery, Cost pillar ratings, weighted index 2.15 of 4.00, critical scheduled activities, issues requiring action, and alerts and alarms

Tier 1: Manufacturing Area Status — SUITE-01, weighted index 2.15/4.00 (Meets), live critical activities, issues & alarms.

via Tier 2
Department Rollup
Tier 3 Site Scorecard - live dashboard with People, Safety, Quality, Financial, Innovation, Site Service and Engineering, Operations Execution, and Customer status, weighted performance index with drilldown

Tier 3: Site Scorecard — weighted performance index per pillar, drillable to trends and root cause. Customer status: Meets.

The Differentiator

You Don't Need a Custom Build. You Need a Map.

This isn't a from-scratch project. The semantic model, DAX measures, KPI library, and formatting standards already exist — built and proven across multiple sites and industries. The work is mapping that standard model to your applications: ERP/MRP, QMS, EHS, HRMS, CMMS, MES, and more — connected via API, data lake, or export, with AI accelerating the structure and development.

Integrated Dashboard Construct - Visual UI, semantic model with FACT/DIM tables, DAX measures, and KPI master mapping tables, connected to EHS, HRMS, QMS, ERP/MRP, CMMS, MES, CAPEX, EMS, and BMS applications, AI-accelerated

The Integrated Dashboard Construct — standardized semantic model, mapped to your application stack

Curated KPI Library — select from tailorable, high-impact metrics across Personnel, Safety, Quality, Delivery, Financial, Innovation, and Client/Customer

Rapid Deployment — pre-designed templates with integration to Power BI and your applications/databases

Drilldown Capability — full traceability from enterprise-level metrics to department and individual contributor performance

Real-Time Monitoring — daily updates eliminate lag from traditional monthly reviews, enabling continuous improvement and faster ROI

PSQDCI + Client/Customer

One Library. Every Pillar of the Business.

Not a short list — hundreds of key measures span seven pillars (Personnel, Safety, Quality, Delivery, Financial, Innovation, Client/Customer). Pick a pillar and the full set opens, each metric carrying a definition, a weight, and a threshold (Does Not Meet / Partial / Meets / Exceeds) — so “good” means the same thing in every department and at every tier. Quality alone spans eleven weighted domains with their own open/closed, aging and recurrence detail.

Personnel

Primary: Engagement Rate (weighted, trended)22 measures across 5 areas

Engagement

  • Engagement Rate75%
  • eNPS Score9
  • Response Rate81%
  • Manager Effectiveness8

Work-Life

  • Work-Life Harmony92%
  • % Overtime3.8%
  • PTO Utilization82%
  • Absenteeism Rate1.49%

Recognition

  • Recognition Rate78%
  • Employees Recognized800
  • Total Recognitions1242
  • Total $ Awarded374K

Tenure & Retention

  • Average Tenure3.9 yr
  • % Above Industry Avg46%
  • Retention Rate92%
  • 6-Mo / 1-Yr / 5-Yr Retention91/81/—
  • Voluntary Turnover4%

Growth

  • Promotion Rate6%
  • Avg Time to Promote22.3 mo
  • Internal Fill Rate26%
  • Training On-Time %vs plan
  • Leadership Bench Strengthsuccession

Safety / EHS

Primary: TRIR (lagging) + leading-behavior index23 measures across 5 areas

Incidents (lagging)

  • TRIR1.5
  • Lost-Time Injury Rate0
  • Days Without Incident210
  • Incidents46
  • Near Misses230

Preventive culture (leading)

  • Safety Concerns18
  • Positive Behaviors37
  • Observation Ratio2.1
  • Safety Suggestions125
  • JHA % On Time20

Compliance

  • Chemical Compliance93%
  • SDS Currency97%
  • Storage Compliance100%
  • Qty Compliance97%

CAPA & Findings

  • Safety CAPA On-Time %100%
  • New / Open / Closed65/43/47
  • Overdue Findings35
  • Avg Days to Close127

Workplace Safety

  • Workplace Safety Score92%
  • 6S Compliance Rate91%
  • JHA Compliance %92%
  • EHS Training OT %93%
  • Compliance Risk Score83%

Quality

Primary: Quality WPI 2.81 / 4.00 (Meets) — 11 weighted domains41 measures across 11 areas

Batch Release

  • Batch Release Score2.10
  • Right-First-Time %RFT
  • On-Time Batch Release %OTR

CAPA Management

  • CAPA Score2.50
  • Total CAPA Openopen
  • Total CAPA Closedclosed
  • On-Time Closure %%
  • CAPA Effectivenessno repeat

Complaint Management

  • Complaint Score2.75
  • Open / Closed#
  • Resolution On-Time %%
  • Recurrence%

Audit Observations

  • Audit Obs Score2.55
  • Open Observations#
  • Major / Minor#
  • Trendopen & trending

Document Control

  • Doc Control Score2.40
  • On-Time %%
  • Overdue Documents#

Supplier Quality

  • Supplier Score2.80
  • Incoming Defects#
  • Supplier Scorecardrating

Deviation (DV) Management

  • DV Score3.65 (Exceeds)
  • DV New / Open / Closed652/48/604
  • % Closed On Time99%
  • % Open Overdue4%
  • Recurrence %10%
  • Open Aging17 d
  • Avg Time to Close17 d
  • Major + Critical %10%

Training Management

  • Training Score3.45 (Exceeds)
  • Compliance %%
  • Overdue Training#

Change Control

  • Change Control Score3.45 (Exceeds)
  • Open / On-Time %#
  • Average Agedays

Planned Interval Actions

  • PIA Score2.80
  • On-Time %%

Quality Control

  • QC Score2.90
  • OOS Rate%
  • Lab On-Time %%

Delivery

Primary: Schedule Adherence / OTIF14 measures across 4 areas

Schedule

  • Schedule Adherence %%
  • On-Time Delivery / OT Batch Release %%
  • MFG Schedule Adherence100%
  • In Full %100%

Order Fulfillment

  • Perfect Order %complete, accurate, on-time
  • Batch Success Rate95%
  • On-Time Batch Release100%

Cycle & Throughput

  • Throughputvs plan
  • Batch Cycle Timestart→release
  • Order-to-Release Cycle Timedays

Capacity & Equipment

  • Capacity Utilization %%
  • Equipment Downtime%
  • OEE / OLE%
  • Ready-to-Execute Issuesopen

Financial

Primary: Revenue Performance to Plan15 measures across 3 areas

Revenue & Margin

  • Revenue (vs Plan)$800M / $740M (+9%)
  • Gross Profit Margin84%
  • EBITDA %34%
  • Net Profit Margin31%
  • Contributory Marginby BU

Cost & OPEX

  • OPEX Ratio74%
  • Cost Variance to Budget (OPEX) %%
  • Direct Cost % to Budgetvariance
  • Indirect Cost % to Budgetvariance
  • Cost per Unit / Cost per Batch$

Budget & Productivity

  • Budget Performance to Planactual vs budget
  • Labor Cost as % of Revenue%
  • Maintenance Cost as % of ARV%
  • Cost Recovery / Savings vs Plan$
  • Revenue (Output) per FTE$

Innovation

Primary: Innovation Performance Index 3.0/4.0 (CAPEX 50% + R&D 50%)20 measures across 4 areas

Capital Projects (CAPEX)

  • CAPEX Budget vs Actual Spend±10%
  • % Projects On Budget≥80%
  • % Projects On Schedule≥85%
  • Forecast Accuracy±5%
  • Cost Variance$ vs plan
  • At-Risk Projectscount

Initiatives & R&D

  • Technology Roadmap % On Schedule≥80%
  • OPEX Initiatives % On Schedule≥85%
  • NPV of Roadmap5-yr
  • New Service Introduction Rate/yr
  • Vitality Index% rev <3 yr

Automation & CI

  • Process Improvements Implementedby quarter
  • % of KPIs Automatedvs manual
  • AI / Automation Coverage %%
  • New Capability Deployment Raterate
  • Continuous Improvement Savings$ realized

Strategic Goals (4A–4D)

  • LV Development Cycle Time↓20%
  • Full DP CapabilitiesEtE DS→DP
  • Portfolio Diversification30–40%
  • Closed-System Automationcell therapy

Client / Customer

Primary: Client Net Promoter Score (NPS)10 measures across 3 areas

Loyalty

  • Client NPS↑15%
  • CSAT90%+
  • Client Scorecard RatingMeets or better
  • Customer Retention Rate≥95%

Order Experience

  • % Perfect OrderOTIF + RFT
  • On-Time Delivery / Invoicing %%
  • Order-to-Shipdays

Responsiveness & Growth

  • Complaint Rate & Resolution Timetrended
  • Quote Turnarounddays
  • Account Growth↑ rev/account

See the Full KPI Library & Dashboards →

What Makes It Actionable

Four Things a Chart Can’t Do on Its Own.

Leveraging strengths built over years of dashboard and KPI development, the Actionable Insights platform layers decision-support onto every measure — not just prettier charts.

📋 Recover-to-Plan

Every KPI that lands yellow (Partial Meets) or red (Does Not Meet) gets a recovery plan. Owners enter goal, root cause, actions, timeline and confidence into one shared spreadsheet. Power BI filters that sheet to the KPI on screen, showing only the relevant plan. Leaders review measures and recovery plans right in the dashboard — instead of chasing owners for status on every partial or red metric.

🤖 AI Insights

AI is linked to each dashboard, surfacing key takeaways and recommended actions — trend direction, comparison to benchmark or peer site, emerging risk signals, and the next best action. The context arrives with the metric, so the conversation starts at “what do we do” rather than “what happened.”

📑 Definitions on Demand

Every key measure on screen has a definitions dialog: the exact calculation, the data source and owner, the threshold bands, and its weighting toward the overall WPI. “Good” means the same thing in every department and at every tier — no metric mystery.

⚡ Why Now

Before AI, an integrated PSQDCI dashboard meant armies of developers (DAX, R, Python, HTML) and years of work — 250+ tables and 2,000+ DAX measures. AI collapses that to weeks. Built by a leader with nearly 30 years in dashboards, process measures and data trending — turning data not just into information, but into actionable information.

How We Get There

From Assessment to Sustained Use — Four Phases

1

Assess

Understand where you are today and define where you need to be.

2

Design

Select and tailor the dashboard model to fit your organization.

3

Build & Validate

Connect the model to your systems and prove it works.

4

Launch & Sustain

Make it real: training, awareness and ongoing sustainment. As owners and leaders ask for new trending and visualizations, we add them under change control — so the platform keeps earning its place.

See the Full 10-Step Roadmap →

Find Out Where You Stand

A short, structured maturity assessment scores your current dashboard environment on the 5-level model — and produces a prioritized roadmap to close the gap.

Start the Assessment    Talk to Us