Session Intelligence

What this is for

See the actual moment users struggle instead of inferring friction from aggregate dashboards alone.

When this helps

• Session recordings are too numerous to review manually.
• The same bug appears as many duplicate reports.
• Engineering receives a symptom without the affected users or visual context.

How it works

Specky reviews connected replay, error, and interaction signals, groups repeated friction into issues, and attaches instances, affected users, and screenshots where available. The result is a prioritized issue rather than a pile of sessions.

Before you start

• A PostHog, Sentry, Pendo, or supported session source.
• A time range or product area.
• Optional impact criteria such as rage clicks, errors, or affected users.

What you should see

• Clustered session issues with instance counts.
• Evidence of the visual or interaction failure.
• A route to a ticket, opportunity, and customer follow-up.

Try it now

1. Connect the source in Integrations and wait for the first sync.
2. Open Session Issues and sort by affected users or severity.
3. Open one issue to inspect representative sessions and screenshots.
4. Create or link a ticket, then mark the issue fixed and verify the next sync.

A real example

Forty-eight users abandon checkout after the promo code field disappears on mobile. Session Intelligence groups the sessions into one issue, gives engineering the screenshot and instances, and prevents forty-eight duplicate tickets.

Your next move

Follow Set up session intelligence with PostHog for the full workflow.