MytheAi

🎙️ Task

AI for Customer Interviews (2026)

Customer interviews are the highest-signal source of qualitative product insight, and AI now compresses the work of running 30-50 interviews from a multi-week project into a few days. AI-augmented research platforms now recruit panelists by demographic and behavior, transcribe and tag interviews automatically, and surface representative quotes per theme. Dovetail leads research repositories with strongest cross-interview synthesis; Lookback handles moderated remote interviews with screen-share and recording; Respondent and Userlytics specialize in panel recruiting with vetted participant pools; Maze covers lighter usability-test interviews tied to prototypes.

Updated May 20265 toolsintermediate

How we picked

We weighted: panel-recruitment quality, transcription and tagging accuracy, cross-interview synthesis depth, and integration with research repositories.

Top 5 picks

  1. 1
    Dovetail
    DovetailFreemium

    AI-powered research repository that synthesises customer insights from interviews, surveys, and support data

    ★ 4.61,840 reviewsFree tier0
    Try Dovetail →Review →
  2. 2
    Maze
    MazeFreemium

    Rapid user testing platform for prototype testing, surveys, and card sorting without a researcher

    ★ 4.52,310 reviewsFree tier0
    Try Maze →Review →
  3. 3
    Lookback
    LookbackPaid

    Moderated and unmoderated user interview platform for capturing rich qualitative research sessions

    ★ 4.3640 reviewsFrom $25/mo
    Try Lookback →Review →
  4. 4
    Respondent
    RespondentPaid

    Professional participant recruitment platform for finding qualified B2B and specialist research participants

    ★ 4.3560 reviews0
    Try Respondent →Review →
  5. 5
    Userlytics
    UserlyticsPaid

    Enterprise remote user testing platform with global panel access and AI video analysis

    ★ 4.2520 reviewsFrom $49/mo
    Try Userlytics →Review →

Frequently asked

How many customer interviews do we need?
5-8 interviews surface most usability issues in a specific persona; 15-20 interviews are needed for thematic analysis across personas; 30+ for longitudinal or attitudinal research. Beyond 30 the marginal insight per interview drops sharply unless you are deliberately exploring multiple segments.
Dovetail vs Lookback for interviews?
Dovetail is the research repository with deeper cross-interview analysis and codebook collaboration; Lookback is the moderated-session platform with stronger live-interview UX and screen-share. Most teams need both: Lookback for running interviews, Dovetail for analyzing across them.
Should AI run the interview itself?
No for early discovery interviews where rapport and follow-up questions matter; AI-led interviews underperform on depth. Yes for structured survey-style interviews and for transcript and follow-up summarization. The split lets the human focus on the conversation while AI handles logistics.

Related tasks

📚AI for Research Papers💬AI for Customer Feedback🔬AI for Literature Review🔎AI for Product Research📚AI for Legal Research🎓AI for Academic Writing

Written by

John Pham

Founder & Editor-in-Chief

Founder of MytheAi. Tracking and reviewing AI and SaaS tools since January 2026. Built MytheAi out of frustration with pay-to-rank listicles and SEO-driven AI directories that prioritize ad revenue over honest guidance. Hands-on testing across 500+ tools to date.

·How we rank tools

Disclosure: Some links on this page are affiliate links. We may earn a commission at no extra cost to you. Rankings are based on editorial merit. Affiliate relationships never influence placement.