# Fictional workflow context

Maya Chen is a fictional revenue operations analyst at a hypothetical midmarket EHR/PM/RCM software vendor. This is an AI study scenario, not evidence from a real participant.

- **Frequency (assumed):** Weekly specialty pipeline review.
- **Tools (assumed):** Reimbursement and CRM CSV extracts, a spreadsheet or local calculation tool, and a short sales operations memo.
- **Usual steps (assumed):** Confirm source periods and definitions; reconcile specialty mappings and counts; calculate exposure and concentration; distinguish reimbursement signals from account evidence; identify validation gaps; prepare a concise recommendation with a named reviewer and next check.
- **Expected handoff:** Send a decision brief to Jordan Ellis, regional sales director, with the scope and limitations of the exposure estimate, a proposed reviewer, and a concrete validation step before planning use.
- **Pain points (hypotheses):** Specialty mapping differences, stale extracts, unclear denominators, missing account-level evidence, and reimbursement changes that can be mistaken for buyer need.
- **Decision supported:** Whether a specialty exposure signal merits further account validation and limited planning review.
- **Requires real-user confirmation:** Actual review cadence, tools, steps, ownership, acceptable thresholds, current sales process, data quality, usefulness of the memo, and time or effort required. No historical duration or personal experience is asserted.