See what matters, and know where to act.

FlowAI Signals proactively analyzes your in-app experiences and AI conversations to surface friction, patterns, and opportunities automatically.

Most teams have data. FlowAI Signals turns that data into clarity. It learns what “normal” looks like across your onboarding flows, checklists, guides, and AI conversations. Then it flags meaningful signals in real time. High-signal only. No noise.

Signals for in-app experiences

FlowAI Signals continuously analyzes how users move through your in-app experiences. When something shifts, you know immediately, so your team can fix it fast.

Completion rates drop

Engagement spikes around a new release

Bar chart with purple bars and the number 264 displayed, user tag labeled Emma, with notifications: 'Views are 50% below normal (100 daily views) - Investigate' and 'Step 2: Missing element errors sharply increased above normal - View step in builder.'

A specific step starts losing users

A flow quietly underperforms

Signals for AI conversations

FlowAI Signals also analyzes how your Adoption Agent performs. You don’t just see conversation volume—you see patterns and knowledge gaps.

Clusters of unanswered questions

Most common themes driving user inquiries

Illustration showing a summary of topics including most unanswered topics, topics with most dislikes, and most frequent topics, with avatars labeled Mimi and Christian.

Incorrect answers tied to specific content

Sentiment shifts over time

Built for teams who need clarity, not charts

Product & Growth

Prioritize improvements based on real user friction, not assumptions.

See where onboarding breaks down at the step level
Spot recurring product questions from AI conversations
Validate roadmap decisions with real usage themes and adoption insights
Two people smiling and looking at a laptop screen with a dialog box showing options and a button labeled 'Let's get started', alongside a graphic showing ROI growth at 135%.

Customer Success

Identify emerging customer pain points

Identify emerging customer pain points
Detect friction early across key flows
Surface knowledge gaps driving support requests
Two women laughing together, one wearing a white sweater and the other wearing a blue beanie and glasses, with a chat interface overlay showing AI assistant text input and contact icons on a blue background.

Marketing

Double down on what’s working and fix what’s not.

Identify underperforming onboarding steps
Spot engagement spikes around releases
Understand which flows actually drive adoption
Smiling man with curly blond hair and woman with curly dark hair on a purple background with app interface elements showing a 25% decrease in views and a welcome message.

FAQs

Clear answers to common questions

Still have questions?

Our team is happy to help, whether you’re
just exploring or ready to get started.

Is FlowAI Signals just analytics?

No. Analytics shows what happened. FlowAI Signals surfaces friction, patterns, and opportunities automatically, so teams know what deserves attention and where to act.

How often are Signals updated?

Signals refresh automatically using recent behavioral and conversational data, so insights stay current and actionable without manual reporting.

Are Signals fully automated?

Yes. FlowAI uses AI to detect patterns and themes, while giving teams visibility into the underlying experiences and conversations driving each signal.

Still have questions?

Our team is happy to help, whether you’re
just exploring or ready to get started.