Like having a drone view of every hiking trail - you can see exactly where people take wrong turns
ChautauquaChain, a Boulder blockchain startup, learned this the hard way.
"We had this beautiful 12-step onboarding flow. Designers loved it. Engineers were proud of it. Users? They were completing step 3 and vanishing like morning fog over Boulder Creek."
The problem? They had no visibility into where users dropped off, how long each step took, which paths users preferred, or what actually drove activation.
"We spent 6 months optimizing the wrong things. Turns out step 3 had a broken button on mobile. Six. Months. Of lost users because we couldn't see what was happening."
– Marcus Wong, CPO of ChautauquaChain
See every user's path as it happens with live progress monitoring and completion predictions.
See drop-offs at each step instantly, identify blockers, and track improvements from your changes.
Not just "they left" but "here's why" - time spent, last action, error messages, and device context.
// One line to start tracking everything
await enableJourneyAnalytics(companyId);Beautiful visualizations that actually make sense - no data science degree required.
const journey = await trackUserJourney(userId);
// Shows: Currently on step 4, 73% complete,
// stuck for 12 minutes on data import
// Rich analytics included
const insights = await getJourneyInsights();
// Drop-off points, completion rates, success patternsGet alerts when metrics drift. Fix issues before they become problems.
// Real-time alerts
if (dropOffRate > 0.4) {
await sendAlert('High drop-off detected at step 3');
}
// Predictive analytics
const riskUsers = await identifyAtRiskUsers();
// Proactively help users before they abandon| Metric | What It Tells You | Why It Matters |
|---|---|---|
| Step Completion Rate | Where users struggle | Fix the right problems |
| Time to Value | How fast users succeed | Faster = higher retention |
| Path Analysis | Which routes work best | Optimize the winners |
| Cohort Retention | Long-term success | Predict revenue |
const riskScore = await predictAbandonmentRisk(userId);
// Returns: 78% likely to abandon at step 5
// Recommendation: Trigger help chat proactivelyAI-powered predictions help you intervene before users abandon their journey.
Stop guessing what's wrong with your onboarding. Start seeing exactly where users struggle and fix the right problems.
P.S. Our analytics process 127 million events daily with 13ms average query time. That's faster than a Boulder driver running a yellow light on 28th Street.
P.P.S. We've helped companies identify and fix 48,291 onboarding bottlenecks this year. That's more obstacles removed than CDOT managed on I-70 (approximately 3).
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