Polyphon vs. Maze: "does my design work" is not "why did they leave"

Maze is the tool that made usability testing feel modern: point it at a Figma prototype, push it to testers, and get click maps and completion rates before engineering writes a line of code. It's fast, it's quantitative, and design teams rightly love it. But Maze answers one question — does this design work? — and the question that actually decides a startup's fate is a different one: why are users leaving, and what would make them stay? That one needs a conversation, not a heatmap.

What Maze actually is

Maze is a product discovery and usability platform: prototype tests, card sorts, tree tests, five-second tests, and surveys, with analytics on top. It runs from self-serve up to enterprise, and for unmoderated validation of design decisions it's arguably the best self-serve tool in the market. Maze's own research arm even publishes the best data on this industry — their 2025 report is where the famous "63% of teams blocked by time and bandwidth" stat comes from.

The known rough edges — reviewers cite prototype crashes on mobile and limited conditional logic in surveys — are fixable product issues. The structural boundary isn't: nearly everything Maze measures happens before launch, with testers, on artifacts. Your churn happens after launch, with customers, in production.

The Prototype Gap

A usability test can prove a flow is learnable. It cannot prove anyone needs the feature or won't quietly stop using it in week three. Those are discovery questions, and they live in the heads of your real users — the ones with production data, a team that depends on the tool, and alternatives open in another tab. The teams that get burned aren't the ones who skipped usability testing. They're the ones who shipped a perfectly usable feature nobody wanted — the most damaging mistake in product, and the one usability testing structurally cannot catch.

The comparison

Where Maze is the right call

• Validating a new flow in Figma before committing engineering time.
• Quick quantitative checks — first-click tests, tree tests, copy tests — at volume.
• Design teams that need usability metrics as a habit, sprint after sprint.

Where Polyphon is different

Polyphon starts where Maze's visibility ends: the moment a real user does something that matters in production. A churn event in Mixpanel or PostHog can trigger outreach the same day; a power-user cohort can get interviewed about the next quarter's roadmap while you build it. The AI voice agent runs a real conversation — it probes thin answers, chases the "why," and keeps the discussion on your research goal — and the synthesis lands as a cited, prioritized ticket in Linear or Jira with a Slack digest each morning. No test plan, no panel, no calendar.

Run both if you can: Maze to make sure the thing is usable, Polyphon to make sure the thing is *wanted*. But if you only have bandwidth for one question, ask the one that explains your retention.