Meet Lia: Your AI Agent That
Analyzes, Advises, and Acts

Lia is Userpilot's AI product agent. It connects to a company's product data, analyzes it, and answers questions about what's happening in the product — then recommends or builds the next step, from a report to an in-app flow.

Lia pulls together a company's product signals — usage events, feature data, user and company profiles, NPS, surveys, session replays, and content engagement — into one connected data layer. A user asks Lia a question or runs a skill, Lia analyzes the relevant data, surfaces the insight, explains what it means, and proposes or takes the next action.

Lia runs continuous, 24/7 monitoring across a company's key product metrics once data sources are connected. Instead of someone checking a dashboard, Lia watches metrics in the background and flags opportunities, risks, and patterns as they happen, so teams learn about a metric change without having to go looking for it.

After surfacing an insight, Lia gives a clear, plain-language answer and next steps, then can turn that insight directly into a deliverable — for example a report, survey, or checklist — rather than leaving the user to build it separately. This "analyze → advise → act" loop is Lia's core workflow.

Skills are pre-built, ready-to-run analyses for common product questions. Instead of writing a prompt from scratch, a user picks a skill (or Lia auto-triggers one based on what's asked) and Lia runs that specific analysis against the connected data.

Examples shown on the product page include: analyze activation, analyze feature adoption, analyze feature launch, analyze segment, analyze account health, analyze retention, summarize user sentiment, analyze a survey, and analyze dashboard. Userpilot's AI agent ships with 15 built-in skills in total, and skills auto-trigger based on the intent of a user's question (for example, mentioning "activation" calls the activation skill automatically).

Both. Users can ask Lia anything about their product in natural language, or run one of the pre-made skills for a faster, structured answer to a common question.

Lia is built to unify signals from events and feature data, user and company data, session replays, NPS, surveys, and content engagement into a single connected view, so insights are based on the full picture rather than one isolated data source.

Lia is Userpilot's built-in AI agent — it runs on top of a company's existing Userpilot data and account rather than requiring a separate product or login.

Skills work out of the box with no manual setup required. Lia connects to data sources a company already has in Userpilot (10+ sources typically connected) and starts monitoring from there.

A dashboard shows data; Lia interprets it. Rather than someone building and reading a dashboard, Lia monitors metrics continuously, explains what changed and why in plain language, and can act on the finding — which is why the product highlights "0 dashboards manually created."

Userpilot AI is built on enterprise-grade security principles: customer data is protected, isolated from other customers, and used exclusively to generate insights relevant to that customer. Data handling is continuously monitored to stay ahead of threats.

Userpilot AI is built to meet SOC 2 and GDPR standards, and is also designed with HIPAA in mind, as shown by its GDPR, HIPAA, and SOC compliance badges.

Lia is designed for an entire cross-functional team — Product, UX Design, Customer Success, and Marketing & Growth — so each team can get answers without needing a data science background.

Lia is designed to remove routine reporting work — pulling reports, checking dashboards, building checklists — so teams can make faster product decisions themselves. It's positioned as always-on product intelligence for the whole team, not a like-for-like replacement for a dedicated analytics function.