Brief

Hook

Stop watching recordings. Start reading insights.

One-liner

AI watches your user sessions and tells you what’s broken — so you don’t have to.

Problem

Session replay tools are powerful but time-consuming. You have 500 recordings and 0 hours to watch them.

Product teams know session recordings contain gold — rage clicks, confusion loops, drop-off moments. But who has time to watch hours of footage? The insight-to-effort ratio is brutal:

• Hotjar/FullStory users: Paying $100+/month but only watching 2% of recordings
• Indie founders: Know they should watch sessions, but shipping features wins every time
• Growth teams: Need UX insights for optimization but can’t justify the time investment

The data exists. The insights are there. But they’re buried in hours of unwatched recordings.

Solution

ScreenQ analyzes session recordings automatically using AI vision models. Instead of watching recordings, you read insights.

How it works:

1. Drop in a lightweight tracking script (like Hotjar)
2. Sessions are recorded using DOM snapshots (not video)
3. AI analyzes patterns across sessions automatically
4. You get a dashboard of prioritized UX issues

What it detects:

• 🔴 Rage clicks — Users clicking repeatedly in frustration
• 🔄 Confusion loops — Back-and-forth navigation suggesting lost users
• 📉 Drop-off points — Where users abandon flows
• 📜 Scroll anomalies — Content users skip or re-read obsessively
• ⏱️ Dead time — Long pauses indicating confusion or distraction

Output: “Your checkout page has a 34% rage-click rate on the ‘Apply Coupon’ button. 12 users in the last week clicked it 5+ times. The button appears unresponsive — likely a loading state issue.”

Target User

Primary: Indie founders and small product teams (1-10 people) who:

• Care about UX but lack dedicated UX researchers
• Already use or have tried session replay tools
• Are technical enough to add a script tag
• Value their time over manual analysis

Secondary: Growth marketers and CRO specialists who need data-backed UX recommendations without watching recordings.

Anti-persona: Large enterprises with dedicated UX research teams who want granular control and custom analysis.

Why Now

1. Vision LLMs are production-ready: Claude and GPT can now reliably “watch” and analyze UI screenshots. This wasn’t possible 18 months ago.

2. Cost has collapsed: Vision API costs dropped ~90% since 2023. Analyzing 1000 sessions now costs ~$5-10, not $100+.

3. Session replay is mainstream: Hotjar has 1M+ sites. The market is educated — people understand session recordings but hate the time investment.

4. AI-native expectation: Users now expect AI to do the tedious work. “Why am I watching this manually?” is a common sentiment.

5. Privacy tools are mature: rrweb (open-source session recording) has solved the hard problems — PII masking, performance, compression.

Unique Angle

ScreenQ is not replacing session replay — it’s adding an AI analyst layer on top.

Think of it as hiring a junior UX researcher who:

• Watches every session (you can’t)
• Never gets bored or distracted
• Summarizes findings in plain English
• Flags the 5% of sessions actually worth your time

Positioning: “The AI UX analyst you can actually afford.”