AI-First Friction + Opportunity Observability

Stop building in the dark.

Every friction point and product opportunity comes with root cause, revenue impact, and a recommendation — automatically. Engineers fix what matters. Leaders see exactly where the product should go next.

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Trusted by 500+ product teams

Why UserContext

Built for teams that ship fast and learn faster

Four pillars that turn user friction and hidden opportunities into your product roadmap.

Privacy-First by Default

Sensitive data is automatically detected and stripped before it ever reaches storage. Your legal team stays happy, your compliance audits pass, and your engineers never touch raw user data.

Every Issue Has a Price Tag

AI scores every friction point and opportunity by revenue impact, user reach, and urgency. Your team stops guessing what matters — they see the dollar amount before they investigate.

Find the Real Problem — and the Real Opportunity

AI traces the full chain of events to pinpoint why something broke and surfaces patterns that reveal product opportunities. Engineers fix root causes. Product teams see what to build next.

Insights Become Action, Automatically

Critical issues create tickets, product opportunities land in your backlog, and the right team gets notified — without anyone lifting a finger. Plugs into Jira, Linear, and Slack out of the box.

How It Works

From install to insights in minutes

1

Connect in 5 Minutes

One line of JavaScript, an npm package, or a browser extension. No instrumentation sprint, no config files — you're capturing production data before your coffee gets cold.

2

Every Session Gets Full Context

Console logs, network requests, clicks, and state changes are captured automatically. PII is stripped in real time so your data stays compliant from day one.

3

AI Surfaces Friction and Opportunity

Root causes, revenue impact, and product opportunities land in your existing tools. Engineers know what to fix. Product teams know what to build next.

Built for Your Whole Team

One platform, two superpowers

Engineering leaders and business stakeholders finally see the same picture — from different angles.

For Engineering Leaders

Fix faster and build what users actually need.

Root cause in minutes, not hours

AI traces the full causal chain — no more reproducing issues or digging through logs. You see exactly what broke and why.

Issues come pre-triaged with context

Every issue arrives with severity, affected users, and a fix recommendation. Your team spends time fixing, not investigating.

Spot product gaps before users complain

Pattern detection surfaces repeated friction and drop-off points. You see opportunities to improve the product — not just patch it.

For Business Leaders

Your voice finally carries weight in engineering decisions.

See what friction costs the business

Every issue and opportunity is scored by revenue impact, user reach, and urgency. You finally have the data to prioritize with confidence.

Turn user pain into product strategy

Friction patterns reveal what users need next. Quality and product opportunity become metrics you can present to the board.

Bridge the gap with engineering

Speak the same language as your technical team. See what they see, understand what matters, and align on what to fix — and build — first.

See It In Action

From friction to action in minutes

app.usercontext.com/projects/acme/issues/UC-1847

Business Impact Analysis

Priority

P0 — Critical

Revenue Impact

$12,400/day

Impact Score

87 / 100

checkout-flow

Causal Analysis

Root Cause Identified
NETWORKPOST /api/checkout → 500 Internal Server Error
CONSOLEUnhandled rejection: PaymentService.process()
Root Cause
STORAGElocalStorage.setItem() — QuotaExceededError

AI Assistant

What caused this and how do I fix it?

Frequently asked questions

Everything you need to know about UserContext.

How long does it take to start seeing results?

Most teams are capturing production data within 5 minutes. You'll see your first AI-analyzed issues within the hour. No code changes, no instrumentation sprints — just install and go.

How does UserContext handle PII and compliance?

Sensitive data is automatically detected and replaced with synthetic data before it ever reaches storage. Emails, phone numbers, credit cards, tokens — all stripped in real time. Your compliance team gets a full audit trail, and your engineers never touch raw user data.

How does the AI prioritize issues and opportunities?

Every friction point and product opportunity is scored by revenue impact, number of affected users, and urgency. The AI traces root causes, estimates what each issue costs the business per day, and surfaces patterns that point to product improvements. Your team sees a ranked list with dollar amounts — not just severity labels.

Do I need to be technical to use this?

Not at all. Every issue and opportunity comes with a plain-English summary alongside the technical details. Business leaders can see impact scores, revenue data, and product opportunity signals. Engineers get root cause analysis and fix recommendations. Same platform, different views.

What tools does UserContext integrate with?

Jira, Linear, Slack, and Microsoft Teams out of the box. Critical issues automatically create tickets, notify the right team, and assign owners. No manual triage required.

What does pricing look like?

Free tier for small teams with up to 1,000 events per month. Usage-based pricing for growing teams. Enterprise plans with custom retention, SLAs, and dedicated support. Contact us for details.

Is my data secure?

All data is encrypted in transit and at rest. PII is stripped before storage through our privacy pipeline. Infrastructure runs on SOC 2 compliant providers with row-level security enforced at the database layer.

Ready to see what your product is missing?

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