AskMore (Business)
Screenshot of AskMore

AskMore

Discover what AskMore is and how it automates user interviews with AI, delivering shareable reports and multilingual feedback.

Screenshot

What is AskMore?

AskMore is an AI assistant that conducts user interviews on your behalf. You define your research goals, share an interview link with participants, and the tool delivers a report of the findings. Because interviews run automatically, you can gather feedback from far more people than manual methods allow, and participants answer whenever it suits them — no scheduling required.

Reports are generated automatically and are easy to share. AskMore applies established research best practices to keep questions unbiased and insights reliable, and it translates everything automatically, so language is never a barrier.

Who created AskMore?

The team behind AskMore has not publicly named its founder. The company’s focus is clear, though: collecting deep user insights quickly through automated, multilingual interviews.

What is AskMore used for?

  • Automated user interviews: Set your goals, send the link, and review the generated reports.
  • Feedback at scale: Talk to hundreds more users each week than in-person interviews would allow.
  • Automated reporting: Skip hours of sifting through notes; reports are shareable out of the box.
  • Higher response rates: Participants answer at their own convenience, avoiding scheduling conflicts.
  • Unbiased questions: Research best practices help ensure reliable, quality feedback.
  • Multilingual feedback: Automatic translation removes language barriers.
  • Team collaboration: Connects UI/UX feedback directly with development teams.
  • Complementary research: Broadens your reach alongside face-to-face interviews.

Who is AskMore for?

AskMore suits product teams, UX researchers, and customer-focused teams that need user feedback without the overhead of manual interviews. It is particularly useful for early-stage startups that need to run user research without a large budget or dedicated research team, and for any team that wants to connect user feedback directly with development work.

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