UserContext

UserContext vs Sprig

The Sprig alternative built on real behavior, not just survey answers

Sprig asks targeted survey questions. UserContext captures the open-ended why in the moment of friction — fused to the exact behavior that triggered it.

Sprig is a strong in-product survey and research tool. The difference is the starting point.

Sprig triggers structured questions. UserContext triggers an open-ended ask at the precise moment something breaks — or delights — captures the user's own words, and bolts it to the behavioral signal: the click, the page, the session. Then it ranks it across everyone who hit the same thing.

UserContext vs Sprig

Sprig is a in-product surveys tool. Here's where the two differ.

UserContext
Sprig
In-product, triggered in context
Open-ended why in the user's own words
Yes — voice or a quick reply
Mostly structured survey questions
Fused to the exact behavioral signal
Click, page, screenshot, session
Responses, loosely tied to events
Captures wins and friction
Weighted by source, flagged for bias
Standard survey analysis
Auto-merges into ranked problems
Study-by-study analysis

What UserContext adds

Unprompted, not a questionnaire

Instead of a fixed question set, UserContext catches the reason at the instant it surfaces — what the user actually wanted to say.

Bolted to behavior

Every answer is tied to the click and page that triggered it, so you never read a response in a vacuum.

Ranked across users

Signals merge and rank automatically — weighted by source and flagged for bias — so you act on what's real, not the loudest response.

When Sprig is the right call

If you need to run structured, statistically-framed surveys and concept tests with defined question sets and audiences, Sprig is purpose-built for that. UserContext is for capturing the unprompted why the moment it happens and turning it into ranked, decision-grade problems.

Questions teams ask

How is UserContext different from Sprig?

Both ask in-product. Sprig leads with structured survey questions; UserContext leads with the user's own open-ended words at the moment of friction, fused to the exact behavior — then ranks it across everyone who hit the same wall.

Can UserContext capture open-ended feedback?

That's the core of it. A mic (or a quick reply) opens at the friction point and the user explains in their own sentence — captured in context, not as a multiple-choice answer.

Does it tie feedback to behavior?

Yes. Every answer is pinned to the click, page, screenshot, and session it came from, so the why and the what are never separated.

Is the feedback trustworthy?

Every problem is weighted by source — a user's own words count more than an inferred signal — and flagged when it's thin or one-sided, so you see what's solid and what's still a hunch.

See the why behind your users' behavior

The reason your users do what they do — in their own words, fused to what they actually did.