🐢 You are reading The Long Start — Module 4 of 10
This module explains every chart, number, and graph. If you already love data, this will feel slow. That's on purpose. Missed Module 3?
Why Dashboards Matter (An Analogy)
Imagine driving a car with no dashboard. No speedometer. No fuel gauge. No check engine light. You'd have to guess how fast you're going, hope you don't run out of gas, and pray nothing's wrong under the hood.
That's how most factories operate. They produce things all day, and at the end of the month, someone opens a spreadsheet and says "huh, we missed our target by 12%." By then it's too late. The month is over. The money is gone.
Dashboards let you see problems in real time — while you can still do something about them. A downtime event that costs $500/hour? If you catch the pattern on day 3 instead of day 30, you save $13,500 in just that one instance.
The KPI Dashboard
Where to find it: Dashboard
What "KPI" means: Key Performance Indicator. It's a fancy way of saying "the numbers that tell you if things are going well or badly." Every business has them. In manufacturing, the big ones are:
| KPI | What It Measures | ELI5 Version | What's "Good"? |
|---|---|---|---|
| OEE | Overall Equipment Effectiveness (availability x performance x quality) | A single number that says "how well are our machines doing?" 100% means perfect. 0% means everything is broken. | 85%+ = world-class, 60-65% = typical, <50% = opportunity city |
| Throughput | How many units produced per time period | "How much stuff are we making?" Higher = better (usually). | Compare against your target. Hitting 95%+ of target consistently = strong |
| Schedule Adherence | Did you make what you planned to make? | "We said we'd make 500. We made 480. That's 96% schedule adherence." This tells you how predictable your operation is. | 95%+ = very predictable, <80% = something is consistently going wrong |
| Quality Rate | Percentage of good units out of total units | "Out of 100 things we made, how many were good enough to ship?" | 99%+ for most industries, 95%+ minimum |
What You See on the Dashboard
The KPI Dashboard is a single screen with:
- Big number cards at the top showing today's OEE, throughput, schedule adherence, and quality rate
- 14-day trend charts showing how each KPI has moved over the last two weeks
- Color coding — green = on target, yellow = watch it, red = problem
- Drill-down ability — click any number to see the underlying shift reports that feed it
Who Sees What
Supervisors see their own shift data. Managers see all shifts they oversee, with filters for date, facility, and shift. Directors see facility-level trends across all sites. Everyone sees the same data — just at different zoom levels.
Reports History
Where to find it: Reports
What it is: A searchable archive of every shift report ever submitted. Think of it as a filing cabinet — except you can search it instantly.
What you can do:
- Search by date range — "show me all reports from last week"
- Filter by facility — "show me only Plant B"
- Filter by shift — "show me only 2nd shift"
- Filter by supervisor — "show me Sarah's reports"
- Click any report to view the full details — production numbers, incidents, downtime, action items
Why it matters: When the plant manager asks "what happened last Tuesday on 2nd shift?", you can answer in 5 seconds instead of digging through emails.
Pareto Analysis
Where to find it: Pareto
What it is: A chart that ranks your problems from biggest to smallest so you know where to focus.
The Pareto Principle (80/20 Rule)
The Pareto Principle says that roughly 80% of effects come from 20% of causes. In manufacturing:
- 80% of your downtime comes from 20% of your equipment
- 80% of your defects come from 20% of your defect types
- 80% of your safety incidents happen in 20% of your areas
The Pareto chart shows you which 20% to focus on. It takes all the downtime events, defects, or incidents from your shift reports, groups them by category, and ranks them from most frequent to least. A cumulative line shows when you've covered 80%.
ELI5: The Ice Cream Analogy
Imagine you sell 10 flavors of ice cream. You could try to improve sales of all 10 equally. Or you could look at the data and realize that chocolate, vanilla, and strawberry account for 80% of sales. Focus on those three and you get the most bang for your buck. Pareto does this but for your problems.
What the Pareto Screen Shows
- Bar chart — categories ranked tallest to shortest (biggest problem on the left)
- Cumulative line — a line that climbs to 100%, showing when you've covered 80% of total impact
- Category breakdowns — click a bar to see individual events within that category
- Date range selector — analyze the last 7, 14, or 30 days
- Type selector — switch between downtime, defects, or safety incidents
Performance Trends
Where to find it: Performance Trends
What it is: Line charts that show how your KPIs have changed over time — 7 days, 14 days, or 30 days.
Why Trends Matter More Than Snapshots
A single day's OEE doesn't tell you much. Maybe it was 72%. Is that good? Bad? It depends on context. But if you see a trend — OEE was 75% last week, 72% this week, 68% yesterday — now you know something is getting worse. That downward trend is an early warning system.
Conversely, if your yield was 91%, 93%, 95%, 96% — that improvement trend means whatever you changed is working. Keep doing it.
What You Can Track
| Metric | What the Trend Shows | What to Look For |
|---|---|---|
| OEE trend | Equipment effectiveness over time | Declining = equipment is degrading or new issues are emerging. Improving = maintenance efforts are paying off. |
| Schedule adherence trend | How consistently you're hitting targets | Erratic = unstable process or staffing issues. Stable high = predictable operation. |
| Quality / yield trend | Product quality over time | Sudden drop = something changed (new material, operator, setting). Gradual decline = wear, drift, or training decay. |
| Throughput trend | Output volume over time | Seasonal patterns, staffing impact, and process improvement results all show up here. |
Manager View
Where to find it: Manager View
What it is: A filtered view of all reports and data scoped to the supervisors, shifts, and facilities a manager oversees. Managers don't need to see every report from every site — they need their reports, organized their way.
What it does:
- Filters reports by the manager's assigned supervisors
- Shows supervisor-level performance comparisons (anonymized or not, depending on org settings)
- Highlights shifts that missed targets or had safety incidents
- One-click drill-down into any individual report
Live Shift Streaming
What it is: Managers can see shift reports as they're being filled out, before they're officially submitted. Because reports auto-save, every field update is visible in near-real-time.
In human words: You know how Google Docs lets you watch someone type? Same idea, but for shift reports. Your manager can see that 1st shift has entered 400 out of 500 planned units at 2pm and know whether the shift is on track without calling anyone.
Quick Summary: Dashboard Features at a Glance
| Feature | What It Does | Who Uses It Most |
|---|---|---|
| KPI Dashboard | Real-time OEE, throughput, quality, adherence with 14-day trends | Managers, Directors |
| Reports History | Searchable archive of every shift report | Managers |
| Pareto Analysis | 80/20 ranking of your biggest problems | Managers, CI Engineers |
| Performance Trends | 7/14/30-day rolling trend charts | Managers, Directors |
| Manager View | Filtered data scoped to your team | Managers |
| Live Streaming | Watch reports being filled out in real-time | Managers |
What's Next?
You now understand how data gets in (shift reports from Module 3) and how data comes out (dashboards and analytics from this module). Module 5 explains the math behind the most powerful feature: staffing optimization. How does the Auto-Assign button actually work? What is Theory of Constraints? How does it know where to put people? We'll explain all of it. With analogies.
Continue to Module 5: Staffing & the Math →
← Back to The Long Start · Module 4 of 10 · ← Module 3
Stop reading, start doing
Model your process flow, optimize staffing with Theory of Constraints, and track every shift — all in one platform. Set up in under 5 minutes.