Software & AI · Commercial decision support

Shop Floor Data Collection Requirements Checklist

Requirements should describe the decision, control or workflow outcome that matters. For shop floor data collection, broad statements such as “easy integration” or “good reporting” should be replaced with testable acceptance criteria.

✓ Commercial-intent research✓ Clear decision framework✓ No signup✓ Vendor-neutral assumptions
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Decision framework

What this resource helps you evaluate

plants replacing paper or delayed production reporting translating operating needs into a structured Shop Floor Data Collection requirements list.

Requirements should describe the decision, control or workflow outcome that matters. For shop floor data collection, broad statements such as “easy integration” or “good reporting” should be replaced with testable acceptance criteria.

What to compare first

  • Coverage of operator confirmations, labor capture, quantities, scrap and machine-state collection
  • Integration, data ownership and reporting needed by plants replacing paper or delayed production reporting
  • Implementation effort, support model and total lifecycle cost
  • Security, auditability, permissions and recovery requirements
  • Evidence from a pilot using representative terminals
  • Non-functional requirements for performance, availability, identity and data retention

Step-by-step process

  1. 01

    Map users, roles, systems, data objects and critical exceptions.

  2. 02

    Write each mandatory requirement as a testable outcome.

  3. 03

    Add volume, response-time, retention and availability assumptions where relevant.

  4. 04

    Mark each requirement as native, configured, integrated, customized or unsupported during evaluation.

  5. 05

    Carry accepted requirements into implementation testing and contract scope.

Common mistakes and risk checks

  • capturing more data than supervisors and planners can reliably act on.
  • Comparing headline license price without implementation, integration, migration and support cost.
  • Scoring demos instead of validating the highest-risk workflows with real data and users.

Documents and evidence to collect

  • Requirements catalogue
  • Integration and interface list
  • Data dictionary
  • Role and permission matrix
  • Acceptance-test traceability matrix

Questions to ask vendors

  • Can the vendor demonstrate operator confirmations, labor capture, quantities, scrap and machine-state collection with our representative data?
  • Which capabilities require paid modules, services or third-party products?
  • What data can we export in a documented format if we leave?
  • What implementation work is performed by the vendor versus the customer or partner?
  • How are support response, releases, backups and security responsibilities defined?

Primary and official references

Use current official sources to validate requirements that affect your project, industry or jurisdiction.

Partner resource

OEE and production-monitoring option to evaluate

TEEPTRAK is an approved PROFENG partner relevant to OEE, downtime and shop-floor performance monitoring. A public PROFENG referral URL has not yet been verified, so this guide links to the disclosed partner resource only. Validate machine connectivity, event definitions, operator workflow, integrations and pilot data before scaling any deployment.

Review the TEEPTRAK partner resource →