In short: UserTesting is the enterprise standard for human insight: recruited panels, screeners, moderated and unmoderated studies, and since September 2026 an MCP server that brings all of that into Claude, ChatGPT and Figma Make. Hallway Test does one thing: a real tester on one flow, dispatched by your coding agent, results within 24 hours, a free first test and $29 per test after launch. Choose UserTesting for audience-specific research at scale. Choose Hallway Test when a developer needs one real person to try what the agent just built.
Why teams look for a UserTesting alternative
The reasons are consistent, and they are not complaints about quality:
- Pricing is on request. UserTesting sells annual plans through a sales conversation. A three-person team that wants to check one checkout flow is not the customer that pricing is designed for. The guide to what usability testing costs shows how to estimate the price of a test.
- A test is a study. You define an audience, write screener questions, build tasks, launch, then review sessions in a dashboard. That process is right for a research program and heavy for a single flow.
- It lives outside the tools you build in. Even with the new MCP server, the workflow is designed around the UserTesting platform. A developer working in Claude Code or Cursor wants the findings back where the code is.
What Hallway Test is
Hallway Test is an MCP server your coding agent calls to hand a product flow to a real person. The agent describes the task in one sentence, for example “place an order as a guest and reach the confirmation page”. A tester from our in-house team runs it on camera, thinking aloud. The screen recording, webcam reaction, timestamped transcript and the friction points come back into the agent’s context, ready to act on.
There is no study builder, no panel and no dashboard. One test covers one flow with one fresh tester for up to 30 minutes. Results come back within 24 hours. The name is the method: a hallway test, the quick usability check Joel Spolsky described in 2000, run by a person who has not seen your product, on demand.
The evidence is built for fixing code, not for a research report. After the session, your agent pulls the click and navigation log, the tester’s timestamped think-aloud, screenshots from the key moments, and the browser’s console logs and network requests, then fixes what the tester got stuck on in the same session.
What UserTesting does well
UserTesting is the better choice for a lot of research work, and most of it is not what Hallway Test does.
- Audience targeting. Recruiting from a large panel with demographic and professional screeners is the core of the product. If the question is “how do nurses react to this dashboard”, this is where you go.
- Research programs at scale. Dozens of sessions, benchmarks, moderated interviews and card sorts, with the security reviews, seats and support contracts enterprises expect.
- AI workflows since September 2026. According to the company’s announcement, its MCP servers let teams recruit participants, create studies and launch tests from Claude, ChatGPT, Figma Make and other MCP clients, with early access for existing customers.
If your team has a research function and a budget line for it, none of this is a problem to solve.
Side by side
| UserTesting | Hallway Test | |
|---|---|---|
| Who tests | Panel participants recruited with screeners | In-house testers with B2+ English, new to your product |
| How you launch | Study builder on the platform, or its MCP server (early access) | One MCP tool call from your coding agent |
| Work before the first result | Define the audience, write screeners and tasks, launch the study | One sentence describing the flow |
| What comes back | Session videos, metrics, dashboards, AI summaries | Screen, webcam and voice recording, timestamped transcript, friction points in the agent’s context |
| What happens next | Researchers review the sessions and share findings with the team | Your coding agent reads the click log, console and network logs and fixes the code |
| Scope of one run | Dozens of participants, several tasks | One flow, one tester, up to 30 minutes |
| Turnaround | Depends on the study and the audience | Within 24 hours |
| Pricing | Annual plans, quoted by sales | Free pilot test; $29 per test planned after launch, no subscription |
| Works inside Claude Code, Cursor or Codex | Through the platform’s MCP server, early access | Yes, that is the only interface |
| Best for | Research teams with audience-specific questions | Developers and small teams shipping with AI coding agents |
Who should stay with UserTesting
- You need participants who match a specific profile, and the profile matters more than the speed.
- You run research programs: benchmarks, longitudinal studies, dozens of sessions per quarter.
- Procurement, compliance and seats are part of how your company buys software.
- You want a platform your research team already knows.
Who should try Hallway Test
- You build with an AI coding agent and want the test to happen where the code is.
- You need one real person on one flow, today, without setting up a study.
- Nobody outside your team has used the product yet.
- Your budget for usability testing is closer to $29 than to an annual contract.
- You already use synthetic or agent-based testing and want a human check before shipping. The real users vs synthetic users page explains where each fits.
Switching takes one command
There is nothing to migrate: no studies, no participant pools, no exports. Connect the MCP server to your client and describe the first flow.
claude mcp add --transport http hallwaytest https://mcp.hallwaytest.ai/mcp
Setup guides for Claude, Cursor and Codex. The first test is free in exchange for a 30-minute feedback call, on which we also connect the client together; book the pilot to start. Pricing after launch is on the pricing page.