NEW · Proactive guidance, built into your product →

Help users move forward before friction becomes abandonment

Most users never tell you where the journey broke.
Glance Intelligent Detect reads live product activity, compares it with your golden paths, and offers the right next step while the user is still engaged.

🖥️Contextual coaching, delivered inside the workflow
📡Real behavior, evaluated against journeys you define

How it works

From live behavior to a useful next step.

Glance Intelligent Detect adds a proactive guidance layer to the product you already run. Your analytics, support, and product stack stay in place.

Your product sends meaningful events. Glance Intelligent Detect evaluates each session against a defined journey, recognizes signs of friction, and presents relevant guidance in-product.

Product events
real user activity
Golden paths
expected journeys
always on
Glance Intelligent Detect
session evaluation
● Chat
Stuck here?
Friction detected
playbook matched
1 · contextual
Try this →
In-product coach
the next useful step
2 · in time
See the coaching flow →

Designed to complement the stack you already use

BUILT FOR PRODUCT-LED TEAMS

Help users reach value before
friction turns into a quiet exit.

📈

Support activation

Guide users through critical moments while they are still engaged and moving toward first value.

😊

Make help feel immediate

Offer relevant guidance in the workflow instead of asking users to stop, search, or open a ticket.

🔁

Learn from silent friction

See where sessions diverge from expected journeys and turn that signal into better paths and playbooks.

Define your first golden path

Start with one critical journey, its success signals, and the coaching response users should receive when progress stalls.

app.workspace.com / projects / q2-launch
Q2 Launch — Tasks
All tasks My tasksOverdueCompleted
Task nameAssigneeStatusPriorityDue
Redesign landing page heroAJIn progressHighMay 28
Set up custom fields for leadsMKTo doMediumJun 2
Configure automation rulesSRTo doHighJun 1
Export Q1 performance reportTLDoneLowMay 20
G Glance Intelligent Detect · Guidance available

It looks like you may be working through Configure automation rules. Would a next step help?

Why Glance Intelligent Detect

Move from waiting for questions to responding to friction.

Capability
Reactive support
Glance Intelligent Detect
Responds after a user asks for help
Detects meaningful behavior without a ticket
Limited
Compares activity with a defined journey
Uses playbooks to select relevant guidance
Delivers coaching inside the product
Limited
Preserves context from the current session
Limited
Helps teams observe journey divergence
Limited
Native analytics and support connectors Soon
Varies
Email activation from session context Soon
Varies
Guided product tours Soon
Varies
Explore the integration

FAQ

Frequently Asked Questions

Glance Intelligent Detect is a proactive guidance layer for digital products. It detects meaningful product events, compares user activity with defined golden paths and playbooks, and delivers contextual coaching inside the product when friction appears.

Traditional tours usually present a predefined sequence. Glance Intelligent Detect starts with current session behavior and a defined golden path, then uses the matching playbook to offer help when it is relevant. Guided tour integrations remain on the roadmap.

No. Glance Intelligent Detect focuses on recognizing journey friction and acting on it in-product. Your analytics platform remains the system for broader behavioral analysis. Native analytics connectors are planned.

No. Helpdesks and messaging tools continue to manage support conversations. Glance Intelligent Detect addresses an earlier moment: friction that appears before a user submits a question. Native handoffs remain on the roadmap.

The current product loop is event detection, journey comparison, playbook matching, and in-product coaching. Native analytics integrations, email activation, agent MCP, and guided tours are roadmap capabilities.

Integration requires identifying meaningful product events, sending them through the event contract, and rendering the coaching experience. The planned SDK will simplify this work; its final installation flow and implementation time are still being defined.

Start with journey-level metrics: completion of critical steps, time to first value, recovery after detected friction, coaching acceptance, and successful continuation. Activation or retention lift should be validated through controlled measurement.