FAQ from AskMore
What is AskMore?
AskMore is an AI research assistant that conducts thoughtful, open-ended user interviews at scale—helping teams gather richer, more diverse, and more actionable feedback—faster than traditional methods allow.
How to use AskMore?
Start by articulating your learning goal (e.g., “Why are users abandoning checkout?”). AskMore generates a tailored interview flow, delivers a shareable link—and then surfaces patterns, quotes, and themes in an intuitive report.
How does AskMore work?
Using advanced LLMs fine-tuned for qualitative research, AskMore simulates empathetic, probing conversations. It adapts based on user responses, asks clarifying questions, and captures nuanced context—so you get insight, not just answers.
Can the interviews be conducted in different languages?
Absolutely. AskMore supports real-time translation both ways—users respond in their native language, and all analysis, reporting, and quotes appear in your preferred language—preserving meaning and tone.
Are the reports generated automatically?
Yes. Within hours—not days—you receive a polished, presentation-ready report featuring thematic summaries, standout quotes, sentiment trends, and exportable raw transcripts—all generated without manual tagging or transcription.
What are the core features of AskMore?
AskMore combines AI-native interviewing, adaptive dialogue logic, research-backed question design, auto-summarized reporting, cross-language fluency, and response-optimized scheduling—making deep user understanding accessible, repeatable, and scalable.
How can AskMore help me get more feedback?
By removing scheduling barriers, reducing cognitive load for participants, and offering asynchronous, low-friction interviews—AskMore consistently achieves 3–5× higher completion rates than live interviews, while surfacing unexpected insights buried in unstructured responses.