DOAPO
Public records. A usable decision context.
An explorer for North Dakota permit, spud, and well-status records with explicit decision boundaries.
Explore the project studyCustom business tools and dashboards / US remote
See what matters. Know what comes next.
A dashboard earns its place when it helps someone make a decision. Bring the records, the questions and the workarounds; we can define a tool around the work people actually do.
A useful first engagement
Choose one decision and a representative dataset. Build a reviewable view that exposes definitions, source context and the next action before expanding to more users or data.
What the scope can include
- Agreed data definitions, source mapping and a focused interface design.
- A working view or analytical prototype using an agreed sample or authorized source.
- Validation checks, export needs and a documented handoff for operation.
Implementation and handoff
AI supports how I develop a solution. Depending on the problem, the result may be a better-configured tool, an integration, a dashboard or a custom workflow. It does not necessarily need AI to operate.
Agree the scope, access, client participation, acceptance examples and stopping conditions before starting. Production deployment, operating ownership, maintenance and support are scoped separately. Identify any specialist review needed before committing to that work.
How we evaluate the improvement
Check whether users can answer the intended question, trace a value to its source and distinguish missing or stale data from a real result. Compare preparation time and correction rates with the baseline.
ILLUSTRATIVE APPLICATION / NOT A CLIENT RESULT
A growing team could bring open jobs, assigned owners and outstanding decisions into one review queue. A pilot would verify that the queue matches source records and makes follow-up easier before adding more departments.
What shapes the budget?
Data cleanup, source access, refresh frequency, user roles, calculations and export requirements drive scope. A read-only view is simpler than a system that updates operational records and manages permissions.
When a different approach makes sense
Keep a spreadsheet when it is understandable, dependable and adequate for the work. A custom tool brings maintenance obligations. A dashboard cannot compensate for unavailable data or undefined business metrics.
When should we replace a spreadsheet?
Consider change when ownership, concurrent editing, repeated manual preparation or hidden formulas consistently obstruct the work. First check whether improving the spreadsheet is sufficient.
Can we use existing data?
Discovery examines available formats, access rights and quality. The pilot uses agreed data; live integrations and refresh schedules are scoped explicitly.
Prepare for this conversation
A useful next step
What would a useful first result look like?
Bring the outcome, the context, and the constraints.
We’ll start by defining a useful next question.
Start a conversation
Request first. Scope and next steps follow review.