# DenQAI: local market evidence request

File-specific companion · 2026-09-10

## Purpose

Which local facts must be verified before choosing a dental practice market?

**Who:** Owner or buyer and local-market reviewer

**Records:** Defined trade area and patient segment; population/access records; site, payer, workforce, cost, and entry evidence.

## Complete the file

1. Define project geography, trade_area, patient_segment, entry_mode, and decision_date before collecting rows.
2. For each question, use the geographic_level and preferred_source to record an observation and source_location.
3. Separate effective_date, status, and reviewer_status; assign next_action for missing or conflicting local facts.

## Definitions

- **Trade area:** Defined realistic catchment area for the proposed patient segment.
- **Geographic level:** Spatial unit of the evidence, such as tract, county, or drive-time area.
- **Effective date:** Period when the observation or controlling record applies.

## Fictional example

Fictional example: LOC-01 asks about a 30-minute trade area; a county population total is logged as incomplete until its geographic mismatch is resolved.

## Review and next action

Collect the local evidence that could change the location or entry decision.

The raw request file organizes evidence; regional averages, directories, and broad shortages do not establish site-specific demand.

[Related DenQAI guide](https://denqai.com/market/local)

## AI coach prompt

Help me use DenQAI’s local market evidence request. My question is: Which local facts must be verified before choosing a dental practice market? Explain these terms in plain language: Trade area, Geographic level, Effective date. Ask one question at a time about the required records: Defined trade area and patient segment; population/access records; site, payer, workforce, cost, and entry evidence. Walk through the supplied fictional example before asking me for inputs. Treat every missing value as unknown, not zero. Do not invent source records, contract terms, legal conclusions, or clinical facts. Use only permitted fictional or aggregate, non-identifying information. Follow this boundary: The raw request file organizes evidence; regional averages, directories, and broad shortages do not establish site-specific demand. End with the missing evidence and this next step: Collect the local evidence that could change the location or entry decision.

## AI review prompt

Review my permitted fictional or aggregate draft of DenQAI’s local market evidence request against the file instructions. Check each required field and period, units, evidence locator, assumptions, arithmetic where formulas are actually supplied, and unresolved contradictions. Check the sequence: Define project geography, trade_area, patient_segment, entry_mode, and decision_date before collecting rows. For each question, use the geographic_level and preferred_source to record an observation and source_location. Separate effective_date, status, and reviewer_status; assign next_action for missing or conflicting local facts. Separate facts from assumptions and missing records. Do not supply unsupported numbers or make a professional decision for me. Apply this limitation: The raw request file organizes evidence; regional averages, directories, and broad shortages do not establish site-specific demand. Return corrections, questions for the responsible reviewer, and the next action.