Study archive · AI simulation with synthetic data · Human validation pending

Assumed workflow — fictional AI study persona

Luis Ortega is a fictional finance analytics analyst at a hypothetical healthcare-software vendor. This exercise supplies assumed monthly commercial-planning input, not evidence of a real participant's experience or preparation time.

Assumed frequency: monthly. Assumed tools: reimbursement reports, a CRM export, a spreadsheet workbook for joins and calculations, and a concise finance memo for Priya Nair, finance business partner.

Assumed steps: confirm report periods and metric definitions; join reimbursement observations to candidate accounts using reviewed mappings; reconcile counts and amounts; distinguish observed reimbursement activity from assumed software ACV; apply explicit scenario assumptions; review uncertain mappings and exclusions; write a caveated memo with source links and validation needs.

Expected handoff: a short decision brief identifying a candidate for validation, a transparent scenario calculation, evidence limitations, and a specific next step. Forecasts, assumed ACV, and recognized revenue remain distinct.

Pain-point hypotheses: workbook joins may require manual mapping review; inconsistent grains and periods may complicate comparisons; reimbursement dollars may be mistaken for software opportunity; scenario inputs may lose their caveats when summarized.

Downstream decision: whether to authorize a limited validation step for commercial planning, and which evidence must be checked before a forecast changes.

Real users must confirm the actual cadence, tools, steps, time spent, role boundaries, account mappings, commercial model, decision authority, forecast treatment, and handoff requirements. No historical duration or real professional experience is asserted.