AI-Native Product Intelligence

Stop guessing what
your users actually do

One script tag. AI discovers your features, analyzes behavior, and tells you exactly what to fix — in plain English.

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Traze
Dashboard
Checkout Flow
Onboarding
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Settings
AI Brief — Checkout Flow
Sessions
2,847
+12%
Completion
34%
-8%
Errors
127
+23%
Checkout completion dropped 8% this week. Most drop-offs happen at the payment form — 127 validation errors suggest the card input is confusing users. Mobile users are 3x more likely to abandon.
Why are mobile users dropping off?
Mobile users hit a layout bug on the payment form — the card number field overlaps the CVV on screens under 375px. This causes 68% of mobile errors.
Ask about this feature...
Action Items2/4 done
Add form validation hintsHIGH
Fix mobile card field overlapHIGH
Add Apple Pay / Google PayMED
A/B test single-page checkoutLOW
The problem

You're shipping blind.

You have users, but no idea what they're doing, what's breaking, or what to build next.

Users leave and you don't know why

Your funnel is leaking, but you can't see where. By the time you notice churn, it's too late — they're already gone.

Plan tracking schema
Add 50+ event calls
QA each event
Still configuring...

Analytics takes weeks to set up

Event schemas, tracking plans, custom dashboards — by the time it's working, your product has already changed.

Data without direction

Charts everywhere, answers nowhere. Your dashboard shows what happened but never tells you what to do about it.

How it works

From install to insight in hours.

No event schemas. No tracking plans. Just one script tag — and AI does the rest.

Step 1 — Install

One line. Done.

Copy SDK Snippet
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<script src="https://cdn.traze.dev/sdk.js"
  data-token="tk_live_xxx"
></script>
That's it. No config files, no build step, no event mapping.
Step 2 — AI takes over

Features appear. Insights follow.

Checkout FlowExecuteanalyzing...
OnboardingExploreanalyzing...
DashboardTechnicalanalyzing...
Fix payment form validation on mobileP0
AI Briefs

Not dashboards. Answers.

Every feature gets an AI-generated brief — metrics, narrative, and context — written like a product manager, updated every day.

AI Brief — Onboarding Flow
New Users
1,234
+18% vs last week
Completion Rate
62%
-5% vs last week
Avg. Time
4.2m
-30s faster
Onboarding completions dropped 5% despite an 18% increase in new signups.The team-invite step (step 3 of 4) shows a 41% drop-off rate — users seem confused by the required email format. Users who skip this step are 2.3x more likely to churn within 7 days.Recommendation: make team invite optional and prompt it post-onboarding instead.
Conversational Analytics

Have a conversation with your data.

Ask questions in plain English. Get answers backed by real user behavior — not SQL queries or pivot tables.

  • Ask “why did signups drop last week?”
  • Follow up with “which pages are affected?”
  • Get action items, not just data points
Why did checkout conversion drop this week?
Payment form errors spiked 23% — the card number field has a validation bug on mobile Safari. This affects 34% of your checkout sessions.
Which user segments are most affected?
Mobile users on iOS 17+ are 3.2x more likely to hit this bug. They account for 41% of your checkout traffic but only 12% of completions this week.
Action Items2 of 4 complete
Fix mobile card field overlap on SafariP0
Add inline validation error messagesP0
Add Apple Pay / Google Pay optionP1
A/B test single-page checkout layoutP2
AI Action Items

Not “investigate.” Do this.

Traze doesn't just surface problems — it tells you exactly what to fix, in priority order, with context on why it matters.

  • Prioritized by impact on your metrics
  • Specific enough to create a ticket from
  • Updated daily as user behavior changes

Stop guessing.
Start knowing.

One script tag. AI-powered insights. Exactly what to fix.

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