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Purpose
This log records key decisions, their rationale, considered tradeoffs, and connections to requirements and implementation constraints.
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Decision Log
Decisions
| ID | Decision | Rationale | Status | Evidence quality |
|---|---|---|---|---|
| D-001 | Source data are explicitly read only | Maintain source data integrety and facilitate tracability and operation governance | Accepted | Observed |
| D-002 | Audit artifacts are created at each process steps | Each process steps needs to be auditablae and allow tracing of user's decisions during operation | Accepted | Observed |
| D-003 | Final output folder contains both audit files and lunchtab import file | Streamline user audit and finalization sequence | Accepted | Observed |
| D-004 | Program will be developed on Python packaged for Windows 11 OS | Lunchtab and Odin Cloud does not currently have OPEN API capability or shared common ID for account reconciliation, a light-weight local program is preferred over a web based app | Accepted | Observed |
Assumptions
| ID | Assumption | Validation need | Evidence quality |
|---|---|---|---|
| A-001 | The intended audience includes operations staff and stakeholders reviewing the automation value. | Confirm with project owner. | Inferred |
| A-002 | Future-state recommendations should be operational and governance-oriented rather than a large new software build. | Confirm appetite for further development. | Inferred |
| A-003 | The Lunchtab import itself occurs outside this application. | Validate production procedure. | Observed |
| A-004 | Generated result artifacts are considered sensitive because they can include names, identifiers, family codes, emails, and balances. | Confirm applicable policy. | Observed |
Open Questions
- Who approves high-risk manual reconciliation deltas before InitialBalances use?
- Who owns matching profile changes and crosswalk maintenance?
- Where should generated artifacts be stored, and how long should they be retained?
- What is the expected post-import verification step in Lunchtab?
- Should production runs be logged centrally for match rates, exception trends, and labor savings?
- What privacy or compliance policy should be explicitly referenced in user guidance?