The operating problem
Adding local storage without a synchronization model creates stale records, silent overwrites, and difficult recovery.
We design multi-device and hybrid data flows when teams need shared records across locations or through unstable connectivity.
Adding local storage without a synchronization model creates stale records, silent overwrites, and difficult recovery.
Defined ownership, versioning, retries, conflict behavior, and observability for data moving between devices and services.
Synchronization adds cost and operational responsibility. We use it only when continuity or multi-device work provides enough value, then define what can be edited, when, and by whom.
Scope is documented as decisions and acceptance conditions, not as an open-ended feature list. That keeps the first release useful, testable, and honest about what remains outside it.
The final list is selected after discovery; it is not a promise that every project needs every item.
Users, procedures, data, constraints, and failure points.
Priorities, boundaries, risks, and acceptance conditions.
Architecture, data, permissions, experience, and integration.
Primary flows, exceptions, accessibility, and performance.
Handover, operating notes, updates, and rollback.
No. The offline boundary is selected by operational priority and the data needed to complete those tasks.
The policy may merge, reject, choose an authoritative source, or ask a user to resolve it, depending on the record.
Send a short description. We start with the operation and scope before discussing technology or cost.