Service guides / Web & mobile apps
Data quality checks · Web & mobile appsField job capture: data quality checks
Agree what a valid source record looks like. Start with sample job forms and device requirements and plan a phone-friendly job capture workflow.
Available remotely for local and international enquiries. Platform choice and final scope depend on your requirements.
The project in view
- Start with
- sample job forms and device requirements.
- Proposed result
- a phone-friendly job capture workflow.
- A decision to resolve
- unsynced records on intermittent connections.
This is a planning example. It does not describe a completed client engagement.
Data quality checks for this project
- Check sample job forms and device requirements for completeness, conflicting versions and consistent references.
- Add a separate validation rule for unsynced records on intermittent connections.
- Keep unresolved records separate from a phone-friendly job capture workflow; record the reason rather than silently filling a gap.
Questions to answer together
- Which fields, references or measurements must be present?
- How are duplicates, contradictions and missing values reported?
- Which corrections require confirmation from the source owner?
What to have at the end
A validation checklist with examples of valid, rejected and unresolved records.
Record the decision on unsynced records on intermittent connections alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.
Prepare your enquiry
Use this as a starting point. Add your current process, available examples and constraints before sharing.
Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.