Go from user friction to filed issue
to verified fix, autonomously.

Trait observes how your users actually use your product, detects friction at the sub-feature level, writes fully-specified issues with behavioral evidence, and verifies whether shipped fixes actually worked.

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Behavioral Signal Feed
// event stream · last 30d
› filter.open
2,847
› datepicker.open
2,614
› datepicker.dismiss
1,923
› filter.applied
312
› report.exported
89
// session patterns
Drop-off at date step
67.5%
Avg time before abandon
8.2s
Return within session
12%
// affected segments
Pro plan
78%
Heavy reporters
64%
Power users
89%
TRT
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TRT-42 – Custom Filters — Date Range…
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The problem

Discovery is fast. Development is fast.
The middle isn't.

You know users are frustrated. You just don't know where, why, or what to build.

You're flying blind
between research cycles.

User research is expensive and episodic. Between studies, product teams decide based on instinct, support tickets, and whoever shouts loudest. Behavioral reality stays invisible.

Behavior lives in analytics.
Context lives in your head.

You've got Mixpanel, Amplitude, FullStory. But raw events don't tell you what's broken or what to build. Translating signal to action is a full-time job nobody has time for.

Issues get filed
without evidence.

Engineering asks "how many users does this affect?" Product doesn't know. Issues get deprioritized, re-opened, or quietly dropped. Nothing closes the loop.

How it works

The autonomous product improvement loop.

Trait runs continuously in the background — so your team ships fixes, not tickets.

01
Observe

Trait ingests your behavioral data: events, sessions, funnels, feature usage — across your entire product.

02
Detect

Trait identifies where users are getting stuck, dropping off, or working around your product. No manual setup required.

03
Write

Trait writes fully-specified issues: title, behavioral evidence, affected segments, frequency, severity, and suggested fix — filed directly in Linear.

04
Assign

Trait routes issues to the right team based on feature ownership. Issues arrive ready to sprint — no triage meeting needed.

05
Verify

After a fix ships, Trait checks if the behavior actually changed. Not just "did it deploy" — did users actually stop dropping off?

You stay in control. You approve, edit, or reject what Trait files. Nothing goes to Linear without your sign-off — unless you want it to.
What Trait generates

One input. Fully specified output.

Trait doesn't file vague complaints. It writes issues your engineers can actually build from.

01
Behavioral evidence

Every issue is grounded in real session data — who experienced it, what they did, how often, and for how long. No guessing.

02
Affected segments

Trait breaks down impact by plan, cohort, usage pattern, and user type — so engineering knows exactly what to prioritize.

03
Suggested fix

Each issue includes a hypothesis for what to build, grounded in behavioral patterns — not product manager opinion.

04
Verified outcome

After a fix ships, Trait re-runs the same behavioral analysis. The issue closes only when the drop-off actually stops.

Platform / ENG-247
In Progress
Checkout drop-off spike in annual-plan users at payment confirmation step
Behavioral evidence
68% of annual-plan users abandon at payment confirmation. Median drop-off time: 4.2 s. Error event payment_modal_timeout fires in 91% of cases.
Affected segments
Annual plan · New signups ≤7 days · Mobile web · ~1,240 users/week
Suggested fix
Increase payment modal timeout 3 s → 10 s. Stripe latency logs suggest the timeout fires before the payment intent resolves.
Properties
Status
In Progress
Priority
Urgent
Assignee
JC
Jamie Chen
Labels
Bug Analytics
Cycle
Q1 Sprint 3
Generated by Trait · Awaiting verification

Every issue Trait creates is ready to review, refine, and ship — without a meeting.

Designed for teams building on Linear. The entire Trait workflow is native to Linear: issues, projects, teams, cycles. No new tooling, no new process.

Private beta · Limited spots

Join the teams fixing what actually breaks.

Trait is in private beta. A small number of product teams are being onboarded now.

No noise. No obligation. Just early access when your spot is ready.

FAQ

Common questions.

What data does Trait use?

Trait connects to your existing product analytics: Mixpanel, Amplitude, Segment, or custom event streams. You control what data Trait sees.

Does Trait require custom instrumentation?

No. Trait works with whatever events you're already tracking. If you have sessions, funnels, or event streams — Trait can use them.

What does Trait write to Linear?

A fully-specified issue: title, behavioral evidence, affected user segments, frequency, severity score, and a suggested fix. Nothing vague.

Can I control what Trait files?

Yes. Trait surfaces issues for your review before anything goes to Linear. You approve, edit, or dismiss. You can also configure Trait to auto-file with your chosen settings.

How does Trait verify fixes?

After a fix ships, Trait re-analyzes the same behavioral cohort. If the drop-off rate improves, it marks the issue resolved. If not, it flags it for follow-up.

Does Trait replace product managers?

No. Trait removes the busywork — the data aggregation, the ticket writing, the follow-up. PMs stay in charge of strategy, prioritization, and what actually ships.

What's the Linear integration like?

Native. Trait files issues in your Linear workspace, routes to the correct team, and updates issue status after fixes ship. You use Linear normally — Trait just handles the intake.

Is Trait a replacement for analytics tools?

No. Trait sits on top of your analytics layer. Think of it as the intelligence layer that turns behavioral data into filed, actionable work.