---
id: "entity-doximity"
type: "entity"
entityType: "organization"
canonicalName: "Doximity"
aliases: ["Doximity"]
source_timestamps: ["§ When Respondents Are Hard to Reach or Schedule"]
tags: ["medical-community", "case-study"]
related: ["entity-outset", "concept-asynchronous-qualitative-research", "claim-ai-reaches-unavailable-audiences"]
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-new-30-ai-scale-customer-research"
sourceUrl: "https://hbr.org/2026/04/how-ai-helps-scale-qualitative-customer-research"
sourceTitle: "How AI Helps Scale Qualitative Customer Research"
---
# Doximity

**Doximity** is an online medical community (professional network for US physicians) that used [[entity-outset]] to conduct **asynchronous** AI interviews with hard-to-reach healthcare professionals (doctors, surgeons, nurses) who could not block time for live interviews — completing them via a link between patients or late at night.

## Contributions in this source

- Flagship case for [[concept-asynchronous-qualitative-research]] and [[claim-ai-reaches-unavailable-audiences]]; fourth use case of [[framework-ai-moderation-use-cases]].

## Canonical reference

doximity.com. Often collaborates on physician research and surveys; an AI-moderated qual partnership with a vendor like Outset is plausible but not publicly detailed.