People still pay for Maze because people pay either for access to participants or for a research repository that keeps evidence usable across an organization. The recurring cost buys recruitment, consent, scheduling, media storage, transcription, tagging consistency, notifications, search, and retention, not just the visible interface.
REPLACEMENT BRIEF
user research
Can AI replace Maze?
Run small unmoderated prototype tasks with consent, collect structured feedback with basic completion analytics, merge duplicates, connect evidence to themes, and publish a transparent research view.
See the closest workaround →AT A GLANCE
- price
- $99/mo
- listed annual price
- $1,188/yr
- replaceable scope
- small-team feedback repository
- build time
- closest consolation build: one sitting
what AI can build
Run small unmoderated prototype tasks with consent, collect structured feedback with basic completion analytics, merge duplicates, connect evidence to themes, and publish a transparent research view.
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Maze, run small unmoderated prototype tasks with consent and basic completion analytics. The hard boundary is participant panel, prototype integrations, testing infrastructure, analytics, and recruitment, plus participant network, synthesis workflow, and collaboration.
Editorial catalog estimate · not a completed build
The honest tradeoff
who should keep paying
what you lose
xparticipant panel, prototype integrations, testing infrastructure, analytics, and recruitment
xlarge participant panel
xrecording and transcription infrastructure
xadvanced research repository
xenterprise governance
Start with existing software
prior art · use these instead of building, if you'd rather
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
Editorial catalog estimate · not a completed build
Starter · monthly
known limits · participant panel, prototype integrations, testing infrastructure, analytics, and recruitment; large participant panel
closest workaround promptsecondary workaround · catalog estimate
the prompt
Catalog estimateBuild a closest honest personal substitute for Maze in an empty repository. Use Next.js 15, TypeScript, PostgreSQL, Drizzle ORM, and Resend; do not offer alternative stacks. The core loop is: run small unmoderated prototype tasks with consent, collect structured feedback with basic completion analytics, merge duplicates, connect evidence to themes, and publish a transparent research view. Make the first run work locally with one documented command. Store all user data locally by default and make export straightforward. Put secrets in .env, ship .env.example, and never commit credentials. Create public and private feedback intake with consent text and optional contact details. Support posts, votes, comments, tags, statuses, owners, and duplicate merging. Add a research note type with evidence links, quotes, themes, and confidence. Build search and filters across feedback, customers, segments, themes, and status. Provide email notifications, moderation, export, deletion, and an audit log. Publish a read-only roadmap or findings page using only explicitly public items. Include clear empty, loading, success, and recoverable error states. Add input validation, safe filenames, and graceful handling of unavailable APIs. Write focused tests for the core transformation and one end-to-end happy path. Create a README with setup, architecture, permissions, data location, and backup steps. Do not add accounts, billing, telemetry, analytics, or a hosted control plane. Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure. Deliberately leave out a paid research-participant marketplace. Deliberately leave out unlimited video storage and automated transcription. Deliberately leave out enterprise repositories, SSO, and governance. Finish by running the tests and listing the exact commands used.
The prompt stays readable first. Choose a launch option when you are ready.
$ open in your agent (prompt prefilled, you press enter) or copy it raw · improve it via PR
BUILD FEEDBACK
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questions
Can AI replace Maze?
Not really. Maze's value is not just interface code — participant network, synthesis workflow, and collaboration. See the honest breakdown above.
How much does Maze cost?
Maze is listed at about $99/month (Starter, checked 2026-07-31), or $1,188 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing Maze?
Honestly: participant panel, prototype integrations, testing infrastructure, analytics, and recruitment; large participant panel; recording and transcription infrastructure; advanced research repository; enterprise governance. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Maze?
Yes — Fider (Open-source customer-feedback portal with voting and status workflows.). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.