---
id: "entity-listen-labs"
type: "entity"
entityType: "organization"
canonicalName: "Listen Labs"
aliases: ["ListenLabs", "listenlabs.ai"]
source_timestamps: ["¶ 6", "§ When You Need the “Why” Behind the Numbers", "§ When the Topic Is Too Sensitive for a Human Interviewer"]
tags: ["startup", "ai-moderation"]
related: ["concept-frontier-listening", "entity-microsoft", "entity-sweetgreen", "entity-chubbies", "claim-sweetgreen-efficiency-gains"]
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"
---
# Listen Labs

**Listen Labs** is an AI-native qualitative-research startup that raised $50–100M in the past year. It is also associated with the source's own coauthor network.

## Contributions in this source

- Powered [[entity-microsoft-d5]]'s [[concept-frontier-listening]] program (250+ interviews).
- Helped [[entity-sweetgreen]] discover demand for macronutrient tracking → [[claim-sweetgreen-efficiency-gains]] (1/3 cost, 5× responses, 5× speed).
- Helped [[entity-chubbies]] interview young children who were more forthcoming with AI than with a human stranger → [[claim-ai-reduces-impression-management]].

## Canonical reference

Site: listenlabs.ai. Positions itself as an "AI Moderator," highlighting adaptive probing and "meaningfully longer responses than static question formats"; publishes comparisons of top AI qual platforms.