# Find out where users get stuck, in their own words.

> Every session is a measurement. Peeve surfaces the routes users stall on and the questions they actually ask, per route: the corpus a chat log can't give you.

Canonical: https://peeve.ai/solutions/product/

**The pain**

- Activation drop-offs with no explanation
- Feature discovery you can only guess at
- Tickets summarised by someone else

- **Path emphasis:** Analytics + Show
- **Judged on:** Activation, stuck-points per route

## What can Peeve tell me that analytics can't?

Intent. Product analytics show that users dropped off a route; Peeve shows what they were trying to do there, in their own words, before they gave up. That's the difference between knowing where activation stalls and knowing why, which is what tells you what to fix.

## How does this help activation?

By turning every onboarding how-do-I question into a resolved action in-product and a data point on your route map. You watch activation lift per route as the friction points get resolved, instead of inferring cause from a funnel that only records the drop, never the reason.
