Point-of-work production data

Capture the event once—where the work happens

Replace late, ambiguous production updates with a short event form that knows the order, operation, event type, quantity, reason, time, person, and review path.

The form is not a generic grid of text boxes: identifiers are generated or selected, event types use controlled choices, quantities are numeric, and evidence appears only when the event requires it.

Start with Jodoo’s Free plan for up to five users. No credit card required.

  • Fast event selection
  • Validated quantities and reason codes
  • Review path for holds, scrap, and downtime
Define the event before the field

Give each production event a clear business meaning

The same form can collect multiple events when their required facts and review rules are explicit.

EventRequired factsFollow-up rule

Start / resume

Order, operation, person, time, line or station

Validate readiness or prior hold disposition where required

Progress / output

Good quantity, remaining context, time, person

Update order progress and expected completion

Scrap

Scrap quantity, reason code, affected operation, evidence

Route by threshold, reason, product, or repeat occurrence

Downtime

Start/end or minutes, reason, equipment context, evidence

Notify the responsible owner and track recovery

Quality hold

Affected quantity, issue, severity, evidence, quality owner

Prevent release until disposition is recorded

Form design at the point of work

Use the shortest control that preserves reliable data

Field type is part of product quality.

  • Select the order

    Use a lookup, dropdown, scan, or context-passed record—not a blank text field for a known identifier.

  • Choose the event

    Use clear radio choices for frequent events and reveal only the fields relevant to that selection.

  • Validate the facts

    Use numeric inputs, dates, required reason codes, range checks, and conditional evidence.

  • Record the person and time

    Prefer signed-in identity and captured timestamps where policy permits; allow correction with traceable review.

Data-quality controls

Prevent bad production data before it reaches the dashboard

A clean dashboard cannot repair inconsistent events after the fact.

  • Identifier control

    Order and operation references match an authoritative source and remain unique.

  • Quantity control

    Units are explicit; impossible negatives, duplicate submissions, and quantity conflicts are handled.

  • Reason control

    Controlled codes support analysis, while notes capture context without replacing the code.

  • Timing control

    Event time, entry time, shift, and timezone rules are distinguishable.

  • Review control

    Thresholds and sensitive events reach a qualified owner with an auditable decision.

  • Correction control

    Edits preserve who changed what, why, and which downstream records were affected.

Choose the collection method

Use forms, scans, integrations, and machine data for different jobs

The fastest method is the one that produces reliable data with the least unnecessary work.

MethodUse it forWatch for

Mobile or kiosk form

Reasons, evidence, human decisions, low-frequency production events

Too many fields, shared identities, and poor glove/device ergonomics

Barcode scan

Fast lookup of order, operation, item, asset, or location

Duplicate labels, ambiguous codes, and missing validation after the scan

ERP / MES integration

Existing orders, completions, material moves, and approved master data

Latency, retries, mapping, conflict resolution, and ownership

Machine / IoT source

High-frequency state, count, cycle, and condition signals

Industrial reliability, edge buffering, semantics, and the need for MES/SCADA depth

Production data questions

Collect only what the next decision needs

Start from events and actions, not from a long list of possible fields.

What production data should be collected?

Collect the minimum facts needed to understand progress and act: authoritative order and operation, event type, good and scrap quantities, downtime, reason, time, person, evidence, and review status where applicable.

Can Jodoo scan barcodes?

A scan can identify the relevant order, item, asset, or location before the user completes the event. The workflow should validate the scanned value and write it into the correct record field.

Can the form change by event type?

Yes. Conditional logic can show quantity fields for output, reason and minutes for downtime, or evidence and disposition fields for a quality hold.

Should machine data be entered into Jodoo directly?

High-frequency telemetry usually belongs in an industrial data or MES layer. Send summarized events or actionable exceptions to Jodoo when human ownership and workflow are required.

Design what happens after capture

Make every production event useful beyond the input form

Connect validated operator updates to order status, monitoring thresholds, exception ownership, schedule feedback, and management review.

See where production data should flow
Prototype the shortest useful form

Test event capture with an operator and a supervisor

Open the populated form, submit normal and exception events, and confirm that the right queue, owner, and production order update without duplicate entry.

Open the production data app