Process interviews
Understand who performs the work, where delays happen and which exceptions matter.
Operations & Systems Diagnostic
Find the right system before committing to the build.
A structured investigation of the process, data, roles, exceptions and reporting needs behind an operational problem.
When this fits
Recognize the operational signals.
The process lives across spreadsheets, email and messages
Different people describe the workflow differently
A previous tool failed because requirements kept changing
Leadership needs scope, priorities and risk visibility before investing
Expected direction
What should become clearer or easier.
A shared view of the current process
A practical future-state workflow
Clear build phases and dependencies
A decision on low-code, custom code or a combined approach
Workstreams
How this engagement is structured.
The exact sequence depends on scope, but each workstream has a clear operational purpose.
Data assessment
Review files, fields, identifiers, duplication, ownership and migration risk.
System design
Define roles, permissions, status movement, automations, outputs and integrations.
Delivery roadmap
Separate launch-critical scope from later improvements and estimate the appropriate build path.
Indicative outputs
Concrete artifacts, not vague consulting.
Current-state process map
Data-source and ownership map
Future-state workflow
Role and permission matrix
Automation opportunity register
Prioritized implementation backlog
Platform recommendation
Scope and risk notes
Technology approach
Tools follow the operational requirement.
The diagnostic is platform-neutral. AppSheet, Google Workspace, Apps Script, Power BI, Looker Studio, APIs or custom development are recommended only after the process is understood.
Discuss this serviceScope clarity
Important boundaries.
This is not a full production build
Estimates remain indicative until dependencies are confirmed
Client availability is required for process validation
Questions
Before starting this engagement.
No. It is most valuable when requirements are unclear, several teams are involved, data is inconsistent, or the project has meaningful integration and change risk.