Reference table
Sprig vs Maze compared
In-product research on a live app against design testing before launch
A side by side comparison of Sprig and Maze, two product research tools that are often shortlisted together. It sets out the core job of each, when in the product cycle you use it, its main methods and AI features, how it is priced and which teams it suits. Use it to decide which tool matches the question you have. Koji covers the follow-up interviews neither tool runs by default.
Where this appears
What's in this reference table
| Sprig | Maze | |
|---|---|---|
| Core job | Feedback from users inside your live product | Testing designs and prototypes before launch |
| When you use it | After launch, at a moment in the product | Before and during design |
| Main methods | In-product surveys, replays, heatmaps, link surveys | Prototype tests, usability tests, card sorting, tree testing, surveys |
| AI features | Themes from open answers, agents for study design and analysis | AI moderator and AI analysis, mostly on the top tier |
| Pricing model | Tiers scaled by monthly tracked users | Tiers by seats and features, contracts by quote |
| Best for | Product and growth teams with live traffic | Design and UX teams shipping new flows |
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<a href="https://www.koji.so/visuals/sprig-vs-maze-comparison-table"><img src="https://www.koji.so/visuals/sprig-vs-maze-comparison-table/sprig-vs-maze-comparison-table.png" alt="Table comparing Sprig and Maze on core job, timing, methods, AI features, pricing model and the teams each one suits best." width="1200" height="824" /></a>
<p>Source: <a href="https://www.koji.so/visuals/sprig-vs-maze-comparison-table">Sprig vs Maze compared</a>, Koji</p>
