See which production promises need action now
Bring plan-versus-actual results, late starts, material shortages, quality holds, scrap, stale updates, and accountable owners into one review surface that opens the records behind every signal.
The dashboard is the starting point for a decision—not a decorative chart wall. Every risk should lead to the affected order, cause, owner, next action, and due time.
Start with Jodoo’s Free plan for up to five users. No credit card required.
- Prioritize at-risk orders before promised dates slip
- Open the order or exception behind each signal
- Separate current data from stale or incomplete updates
Design each measure around a production decision
Counts and percentages become useful when the responsible person can understand the reason and act.
- Commitment
Orders at risk
Orders whose readiness, start, output, quality state, or forecast threatens the promised date.
Open by severity, promise, work center, and owner. - Flow
Plan versus actual
Released quantity compared with reported good output, scrap, remaining quantity, and elapsed time.
Open the operations causing the variance. - Freshness
Stale production updates
Running or released work without a current event, owner acknowledgement, or revised forecast.
Route follow-up before silence becomes surprise. - Closure
Orders waiting for verification
Finished work with unresolved quantity, quality, evidence, or closeout review.
Keep “physically done” separate from “verified closed.”
Keep the dashboard tied to operational records
A management measure should never be a dead end.
- Order
Production commitment
Item, quantity, planned dates, promised date, work center, owner, release and closeout state.
- Event
What actually happened
Start, output, scrap, downtime, hold, resume, completion, timestamp, operator, and evidence.
- Exception
Why the plan is threatened
Variance type, impact, severity, cause, response owner, next action, due time, and resolution.
- Review
What management decided
Escalation, revised promise, approved recovery, closure decision, and retained rationale.
Run the dashboard at three operating speeds
Different decisions need different refresh and ownership.
- During the shift
Respond to active disruption
Review held work, downtime, severe output variance, and missing ownership while recovery is still possible.
- At handoff
Transfer the current truth
Confirm running work, inherited risk, next action, owner, and acknowledgement for the incoming shift.
- Daily control
Protect the promise
Review at-risk orders, forecast changes, repeat loss, open decisions, and closeout readiness.
- Weekly learning
Change the process
Group recurring causes and decide which field, rule, workflow, role view, or countermeasure should change.
Use each system for the production facts it can keep trustworthy
Jodoo can coordinate operational review while industrial and financial facts remain in the systems designed to own them.
Operational decisions
Configurable records, owners, exceptions, approvals, evidence, views, and drill-down dashboards
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Machine and process telemetry
Receive actionable events and coordinate the human response
SCADA, historian, PLC, or MES capture and control
Financial and planning masters
Show identifiers, readiness, approved changes, and operational status
ERP or MRP items, BOMs, inventory, costing, and financial posting
Build a dashboard people can use in the meeting
Start with decisions and drill-down before choosing chart types.
What should a production dashboard include?
Include commitments, plan versus actual, at-risk orders, readiness, material and quality blocks, downtime or scrap signals, owners, freshness, next actions, and closeout status appropriate to the operating level.
How is a production dashboard different from an OEE dashboard?
A production dashboard can coordinate orders, promises, exceptions, and owners. OEE is a specific equipment-effectiveness measure that depends on trustworthy availability, performance, and quality data.
Can users open records from the dashboard?
Yes. In Jodoo, dashboard measures can be designed around the underlying forms and filtered views so teams can move from a signal to the records requiring action.
How often should production data refresh?
Match refresh frequency to the decision. Machine control may require specialist real-time systems; shift exceptions and daily production control need updates early enough for the responsible team to respond.
See which production records should create each management signal
Connect dashboard measures to planning, scheduling, floor updates, and exceptions so each signal opens the exact order, owner, and action behind it before you design more charts.
Build a production dashboard that opens the work behind the number
Use representative orders, exceptions, stale updates, and completed records to test whether every signal leads to an accountable next action.