Nocten analyzes the real questions users ask your chatbot and reveals patterns of confusion, so you know exactly what to fix in your product and documentation.
Nocten integrates with your documentation, knowledge base, and internal content to give accurate, grounded answers without any manual setup.
Nocten pulls from docs, guides, FAQs, and support content. No special formatting required.
Every answer includes the exact source sections it used. No hallucinations, no ambiguity.
User names, emails, IDs, and sensitive details are removed before any analysis is done.


Beyond answering questions, Nocten reveals what users struggle with, why they struggle, and what your team should fix first.
Every user query is grouped into themes. Powered by meaning, not keywords.
Each cluster includes summaries, confusion patterns, and root causes.
A high-level overview showing what needs fixing, why it matters, and which issues matter most.
From raw chatbot questions to prioritized insights — fully automated and designed to help your team understand real user friction.
Nocten captures real user questions from your existing chatbot anywhere in your docs or app.
Our AI groups similar questions and highlights emerging friction without manual tagging.
Instantly see which workflows or docs cause confusion — and how to fix them.
Nocten is designed for teams that rely on accurate documentation and want to understand real user friction by analyzing actual chatbot questions.
APIs, devtools, and technical platforms where users rely heavily on documentation to understand workflows.
Teams with large help centers, onboarding guides, knowledge bases, blogs or product-focused marketing pages used by customers to self-learn.
Teams that want to reduce repetitive questions, improve self-serve efficiency, and understand user friction.
Teams that need to know what users are struggling with — based on real behavior, not guesses or feedback forms.
Common questions people ask about Nocten and how it works.
Join the early access waitlist and get the first look at behavior-driven documentation insights powered by real user questions.